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Ismael Rafols

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Wallace, Matthew L. & Ràfols, Ismael, 2018. "Institutional shaping of research priorities: A case study on avian influenza," Research Policy, Elsevier, vol. 47(10), pages 1975-1989.

    Mentioned in:

    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Preparation > Infrastructure and Research
    2. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Avian Influenza (H5N1)

Working papers

  1. Rafols, Ismael & Stirling, Andy, 2020. "Designing indicators for opening up evaluation. Insights from research assessment," SocArXiv h2fxp, Center for Open Science.

    Cited by:

    1. Rafols, Ismael & Noyons, Ed & Confraria, Hugo & Ciarli, Tommaso, 2021. "Visualising plural mappings of science for Sustainable Development Goals (SDGs)," SocArXiv yfqbd, Center for Open Science.

  2. Diego Chavarro & Ismael Ràfols & Puay Tang, 2019. "To What Extent is Inclusion in the Web of Science an Indicator of Journal 'Quality'?," SPRU Working Paper Series 2019-03, SPRU - Science Policy Research Unit, University of Sussex Business School.

    Cited by:

    1. Alba Viana-Lora & Marta Gemma Nel-lo-Andreu, 2022. "Bibliometric analysis of trends in COVID-19 and tourism," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-8, December.
    2. David Doloreux & Jose Gaviria de la Puerta & Iker Pastor-López & Igone Porto Gómez & Borja Sanz & Jon Mikel Zabala-Iturriagagoitia, 2019. "Territorial innovation models: to be or not to be, that’s the question," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1163-1191, September.
    3. Simone Carmine & Valentina De Marchi, 2023. "Reviewing Paradox Theory in Corporate Sustainability Toward a Systems Perspective," Journal of Business Ethics, Springer, vol. 184(1), pages 139-158, April.
    4. Anna Severin & Nicola Low, 2019. "Readers beware! Predatory journals are infiltrating citation databases," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(8), pages 1123-1124, November.
    5. Diego Chavarro & Jaime Andrés Perez-Taborda & Alba Ávila, 2022. "Connecting brain and heart: artificial intelligence for sustainable development," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7041-7060, December.
    6. Valentina Della Corte & Giovanna Del Gaudio & Fabiana Sepe & Simone Luongo, 2021. "Destination Resilience and Innovation for Advanced Sustainable Tourism Management: A Bibliometric Analysis," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
    7. Roberta Ruggieri & Fabrizio Pecoraro & Daniela Luzi, 2021. "An intersectional approach to analyse gender productivity and open access: a bibliometric analysis of the Italian National Research Council," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1647-1673, February.
    8. V. Hernández-González & A. Pano-Rodríguez & J. Reverter-Masia, 2020. "Spanish doctoral theses in physical activity and sports sciences and authors’ scientific publications (LUSTRUM 2013–2017)," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 661-679, January.
    9. Pablo Suazo & Alba Viana-Lora, 2022. "The Contribution of Mycological Tourism to Well-Being, the Economy and Sustainable Development," IJERPH, MDPI, vol. 19(24), pages 1-12, December.
    10. Raf Vanderstraeten & Frédéric Vandermoere, 2021. "Inequalities in the growth of Web of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8635-8651, October.
    11. Martín-Martín, Alberto & Orduna-Malea, Enrique & Thelwall, Mike & Delgado López-Cózar, Emilio, 2018. "Google Scholar, Web of Science, and Scopus: A systematic comparison of citations in 252 subject categories," Journal of Informetrics, Elsevier, vol. 12(4), pages 1160-1177.
    12. Zhenhua Chen & Laurie A. Schintler, 2023. "Rediscovering regional science: Positioning the field's evolving location in science and society," Journal of Regional Science, Wiley Blackwell, vol. 63(3), pages 617-642, June.
    13. Elena Veretennik & Maria Yudkevich, 2023. "Inconsistent quality signals: evidence from the regional journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3675-3701, June.
    14. Alberto Martín-Martín & Enrique Orduna-Malea & Emilio Delgado López-Cózar, 2018. "Coverage of highly-cited documents in Google Scholar, Web of Science, and Scopus: a multidisciplinary comparison," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 2175-2188, September.
    15. Václav Linkov & Kieran O’Doherty & Eunsoo Choi & Gyuseog Han, 2021. "Linguistic Diversity Index: A Scientometric Measure to Enhance the Relevance of Small and Minority Group Languages," SAGE Open, , vol. 11(2), pages 21582440211, April.

  3. Frédérique Bone & Michael M. Hopkins & Ismael Ràfols & Jordi Molas-Gallart & Puay Tang & Gail Davey & Antony M. Carr, 2019. "DARE to be different? Applying diversity indicators to the evaluation of collaborative research projects," SPRU Working Paper Series 2019-09, SPRU - Science Policy Research Unit, University of Sussex Business School.

    Cited by:

    1. Manuel Goyanes & Márton Demeter & Aurea Grané & Irene Albarrán-Lozano & Homero Gil de Zúñiga, 2020. "A mathematical approach to assess research diversity: operationalization and applicability in communication sciences, political science, and beyond," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2299-2322, December.

  4. Tommaso Ciarli & Ismael Ràfols, 2018. "The Relation Between Research Priorities and Societal Demands: The Case of Rice," SPRU Working Paper Series 2018-12, SPRU - Science Policy Research Unit, University of Sussex Business School.

    Cited by:

    1. Yaqub, Ohid & Coburn, Josie & Moore, Duncan A.Q., 2023. "Knowledge spillovers from HIV research-funding," SocArXiv gcuhn, Center for Open Science.
    2. Lin Zhang & Wenjing Zhao & Jianhua Liu & Gunnar Sivertsen & Ying Huang, 2020. "Do national funding organizations properly address the diseases with the highest burden?: Observations from China and the UK," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1733-1761, November.
    3. Daniele Rotolo & Michael Hopkins & Nicola Grassano, 2023. "Do funding sources complement or substitute? Examining the impact of cancer research publications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(1), pages 50-66, January.
    4. Wallace, Matthew L. & Ràfols, Ismael, 2018. "Institutional shaping of research priorities: A case study on avian influenza," Research Policy, Elsevier, vol. 47(10), pages 1975-1989.
    5. Janzwood, Scott, 2021. "R&D priority-setting for global catastrophic risks: The case of the NASA planetary defense mission," Research Policy, Elsevier, vol. 50(6).
    6. Rafols, Ismael & Noyons, Ed & Confraria, Hugo & Ciarli, Tommaso, 2021. "Visualising plural mappings of science for Sustainable Development Goals (SDGs)," SocArXiv yfqbd, Center for Open Science.
    7. Marie-Benoît Magrini & Guillaume Cabanac & Matteo Lascialfari & Gael Plumecocq & Marie-Josephe Amiot & Marc Anton & Gaelle Arvisenet & Alain Baranger & Laurent Bedoussac & Jean-Michel Chardigny & Géra, 2019. "Peer-Reviewed Literature on Grain Legume Species in the WoS (1980–2018): A Comparative Analysis of Soybean and Pulses," Sustainability, MDPI, vol. 11(23), pages 1-37, December.
    8. Matias Ramirez & Javier Hernando Garcia Estevez & Oscar Yandy Romero Goyeneche & Claudia E Obando Rodriguez, 2020. "Fostering place-based coalitions between social movements and science for sustainable urban environments: A case of embedded agency," Environment and Planning C, , vol. 38(7-8), pages 1386-1411, November.
    9. Higgins, Matthew J. & Yan, Xin & Chatterjee, Chirantan, 2021. "Unpacking the effects of adverse regulatory events: Evidence from pharmaceutical relabeling," Research Policy, Elsevier, vol. 50(1).
    10. Zhang, Lin & ZHAO, Wenjing & Liu, Jianhua & Sivertsen, Gunnar & HUANG, Ying, 2020. "Do national funding organizations properly address the diseases with the highest burden? - Observations from China and the UK," SocArXiv ckpf8, Center for Open Science.
    11. Pemsl, Diemuth E. & Staver, Charles & Hareau, Guy & Alene, Arega D. & Abdoulaye, Tahirou & Kleinwechter, Ulrich & Labarta, Ricardo & Thiele, Graham, 2022. "Prioritizing international agricultural research investments: lessons from a global multi-crop assessment," Research Policy, Elsevier, vol. 51(4).
    12. Yashan Li & Jinge Mao & Lin Zhang & Dongbo Wang & Si Shen & Ying Huang, 2022. "How scientific research incorporates policy: an examination using the case of China’s science and technology evaluation system," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5283-5306, September.
    13. Romero Goyeneche, Oscar Yandy & Ramirez, Matias & Schot, Johan & Arroyave, Felber, 2022. "Mobilizing the transformative power of research for achieving the Sustainable Development Goals," Research Policy, Elsevier, vol. 51(10).
    14. Ferran Giones & Daniel Laufs & Carsten Schultz, 2020. "Co-creating Science Commercialization Opportunities for Blue Biotechnologies: The FucoSan Project," Sustainability, MDPI, vol. 12(14), pages 1-19, July.
    15. Dolores Gallardo-Vázquez & Flavio Hourneaux Junior & Marcelo Luiz Dias da Silva Gabriel & Luis Enrique Valdez-Juárez, 2021. "On Earth as It Is in Heaven: Proxy Measurements to Assess Sustainable Development Goals at the Company Level through CSR Indicators," Sustainability, MDPI, vol. 13(2), pages 1-20, January.
    16. Xiaoyan Pan & Hui Wang & Zan Ouyang & Zifan Song & Hongjin Long & Wang Luo, 2022. "Scientometric Analysis on Rice Research under Drought, Waterlogging or Abrupt Drought-Flood Alternation Stress," Agriculture, MDPI, vol. 12(9), pages 1-15, September.
    17. Confraria, Hugo & Wang, Lili, 2020. "Medical research versus disease burden in Africa," Research Policy, Elsevier, vol. 49(3).
    18. Jorge Cerdeira & João Mesquita & Elizabeth S. Vieira, 2023. "International research collaboration: is Africa different? A cross-country panel data analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2145-2174, April.
    19. Ohid Yaqub & Javier A Luna & Duncan Aq Moore & Alfredo Yegros-Yegros, 2022. "Responding to a disease with resources from other diseases: Evidence from Zika vaccine research dynamics [Protective Efficacy of Multiple Vaccine Platforms against Zika Virus Challenge in Rhesus Mo," Science and Public Policy, Oxford University Press, vol. 49(6), pages 942-950.

  5. Lorenzo Cassi & Agénor Lahatte & Ismael Rafols & Pierre Sautier & Elisabeth de Turckheim, 2017. "Improving fitness: Mapping research priorities against societal needs on obesity," Post-Print hal-01629960, HAL.

    Cited by:

    1. Lin Zhang & Wenjing Zhao & Jianhua Liu & Gunnar Sivertsen & Ying Huang, 2020. "Do national funding organizations properly address the diseases with the highest burden?: Observations from China and the UK," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1733-1761, November.
    2. Chavarro, Diego & Taborda, Jaime Andres Perez & Ávila, Alba, 2021. "Connecting brain and heart: artificial intelligence for sustainable development," SocArXiv gj5kr, Center for Open Science.
    3. Wallace, Matthew L. & Ràfols, Ismael, 2018. "Institutional shaping of research priorities: A case study on avian influenza," Research Policy, Elsevier, vol. 47(10), pages 1975-1989.
    4. Tommaso Ciarli & Ismael Ràfols, 2018. "The Relation Between Research Priorities and Societal Demands: The Case of Rice," SPRU Working Paper Series 2018-12, SPRU - Science Policy Research Unit, University of Sussex Business School.
    5. Anna Kiss & Péter Fritz & Zoltán Lakner & Sándor Soós, 2020. "Linking the dimensions of policy-related research on obesity: a hybrid mapping with multicluster topics and interdisciplinarity maps," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 159-213, January.
    6. Diana Maynard & Benedetto Lepori & Johann Petrak & Xingyi Song & Philippe Laredo, 2020. "Using ontologies to map between research data and policymakers’ presumptions: the experience of the KNOWMAK project," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1275-1290, November.
    7. Madsen, Emil Bargmann & Aagaard, Kaare, 2020. "Concentration of Danish research funding on individual researchers and research topics: Patterns and potential drivers," SocArXiv j874c, Center for Open Science.
    8. Diego Chavarro & Jaime Andrés Perez-Taborda & Alba Ávila, 2022. "Connecting brain and heart: artificial intelligence for sustainable development," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7041-7060, December.
    9. Lorenzo Cassi & Agénor Lahatte & Ismael Rafols & Pierre Sautier & Elisabeth de Turckheim, 2017. "Improving fitness: Mapping research priorities against societal needs on obesity," PSE-Ecole d'économie de Paris (Postprint) hal-01629960, HAL.
    10. Zhang, Lin & ZHAO, Wenjing & Liu, Jianhua & Sivertsen, Gunnar & HUANG, Ying, 2020. "Do national funding organizations properly address the diseases with the highest burden? - Observations from China and the UK," SocArXiv ckpf8, Center for Open Science.
    11. Huang, Cui & Yang, Chao & Su, Jun, 2021. "Identifying core policy instruments based on structural holes: A case study of China’s nuclear energy policy," Journal of Informetrics, Elsevier, vol. 15(2).
    12. Confraria, Hugo & Wang, Lili, 2020. "Medical research versus disease burden in Africa," Research Policy, Elsevier, vol. 49(3).

  6. Matthew L. Wallace & Ismael Rafols, 2016. "Shaping the Agenda of a Grand Challenge: Institutional Mediation of Priorities in Avian Influenza Research," SPRU Working Paper Series 2016-02, SPRU - Science Policy Research Unit, University of Sussex Business School.

    Cited by:

    1. Ben R. Martin, 2016. "What's Happening to Our Universities?," Working Papers wp477, Centre for Business Research, University of Cambridge.
    2. Nicola Grassano & Daniele Rotolo & Joshua Hutton & Frédérique Lang & Michael M. Hopkins, 2017. "Funding Data from Publication Acknowledgments: Coverage, Uses, and Limitations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(4), pages 999-1017, April.
    3. Mari Martiskainen, 2016. "The role of community leadership in the development of grassroots innovations," SPRU Working Paper Series 2016-10, SPRU - Science Policy Research Unit, University of Sussex Business School.
    4. Yuti Ariani Fatimah & Saurabh Arora, 2016. "Nonhumans in the Practice of Development: Material Agency and Friction in a Small-Scale Energy Program in Indonesia," SPRU Working Paper Series 2016-04, SPRU - Science Policy Research Unit, University of Sussex Business School.

  7. Diego Chavarro & Puay Tang & Ismael Rafols, 2016. "Why researchers publish in non-mainstream journals: Training, knowledge bridging, and gap filling," SPRU Working Paper Series 2016-22, SPRU - Science Policy Research Unit, University of Sussex Business School.

    Cited by:

    1. Bryce, Cormac & Dowling, Michael & Lucey, Brian, 2020. "The journal quality perception gap," Research Policy, Elsevier, vol. 49(5).
    2. Wang, Jian & Lee, You-Na & Walsh, John P., 2018. "Funding model and creativity in science: Competitive versus block funding and status contingency effects," Research Policy, Elsevier, vol. 47(6), pages 1070-1083.
    3. Shirley Ainsworth & Jane M. Russell, 2018. "Has hosting on science direct improved the visibility of Latin American scholarly journals? A preliminary analysis of data quality," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1463-1484, June.
    4. Buckle, Robert A & Creedy, John, 2017. "The Evolution of Research Quality in New Zealand Universities as Measured by the Performance-Based Research Fund Process," Working Paper Series 20257, Victoria University of Wellington, Chair in Public Finance.
    5. Diego Chavarro & Jaime Andrés Perez-Taborda & Alba Ávila, 2022. "Connecting brain and heart: artificial intelligence for sustainable development," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7041-7060, December.
    6. Sandro Mendonça & João Pereira & Manuel Ennes Ferreira, 2018. "Gatekeeping African studies: what does “editormetrics” indicate about journal governance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1513-1534, December.
    7. Rafols, Ismael & Stirling, Andy, 2020. "Designing indicators for opening up evaluation. Insights from research assessment," SocArXiv h2fxp, Center for Open Science.
    8. Eliseo Reategui & Alause Pires & Michel Carniato & Sergio Roberto Kieling Franco, 2020. "Evaluation of Brazilian research output in education: confronting international and national contexts," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 427-444, October.
    9. Sandro Mendonca & Hugo Confraria & Manuel Mira Godinho, 2021. "Appropriating the returns of patent statistics: Take-up and development in the wake of Zvi Griliches," SPRU Working Paper Series 2021-07, SPRU - Science Policy Research Unit, University of Sussex Business School.
    10. Fei Shu & Xiaojian Wang & Sichen Liu & Junping Qiu & Vincent Larivière, 2023. "Global impact or national accessibility? A paradox in China’s science," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 263-277, January.
    11. Gregory N. Price & Rhonda V. Sharpe, 2020. "Is the Economics Knowledge Production Function Constrained by Race in the USA?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(2), pages 614-629, June.
    12. Manuel Ennes Ferreira & Sandro Mendonça & João Pereira, 2018. "Gatekeeping African studies: What does “editormetrics” indicate about journal governance?," Working Papers Department of Economics 2018/07, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    13. Zait, Adriana, 2020. "Academic Publishing – An Annotated Inventory of Challenges and chosen Pathways," MPRA Paper 116499, University Library of Munich, Germany, revised 25 Oct 2020.
    14. Confraria, Hugo & Wang, Lili, 2020. "Medical research versus disease burden in Africa," Research Policy, Elsevier, vol. 49(3).

  8. Matthew L. Wallace & Ismael Rafols, 2015. "Research portfolios in science policy: moving from financial returns to societal benefits," SPRU Working Paper Series 2015-10, SPRU - Science Policy Research Unit, University of Sussex Business School.

    Cited by:

    1. Yaqub, Ohid & Coburn, Josie & Moore, Duncan A.Q., 2023. "Knowledge spillovers from HIV research-funding," SocArXiv gcuhn, Center for Open Science.
    2. Wallace, Matthew L. & Ràfols, Ismael, 2018. "Institutional shaping of research priorities: A case study on avian influenza," Research Policy, Elsevier, vol. 47(10), pages 1975-1989.
    3. Loet Leydesdorff & Gaston Heimeriks & Daniele Rotolo, 2015. "Journal Portfolio Analysis for Countries, Cities, and Organizations: Maps and Comparisons?," SPRU Working Paper Series 2015-11, SPRU - Science Policy Research Unit, University of Sussex Business School.
    4. Brattström, Erik & Hellström, Tomas, 2019. "Street-level priority-setting: The role of discretion in implementation of research, development, and innovation priorities," Energy Policy, Elsevier, vol. 127(C), pages 240-247.
    5. Janzwood, Scott, 2021. "R&D priority-setting for global catastrophic risks: The case of the NASA planetary defense mission," Research Policy, Elsevier, vol. 50(6).
    6. Tommaso Ciarli & Ismael Ràfols, 2018. "The Relation Between Research Priorities and Societal Demands: The Case of Rice," SPRU Working Paper Series 2018-12, SPRU - Science Policy Research Unit, University of Sussex Business School.
    7. Nicola Grassano & Daniele Rotolo & Joshua Hutton & Frédérique Lang & Michael M. Hopkins, 2017. "Funding Data from Publication Acknowledgments: Coverage, Uses, and Limitations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(4), pages 999-1017, April.
    8. Phil Johnstone & Andy Stirling, 2015. "Comparing Nuclear Power Trajectories inGermany And the UK: From ‘Regimes’ to ‘Democracies’ in Sociotechnical Transitions and Discontinuities," SPRU Working Paper Series 2015-18, SPRU - Science Policy Research Unit, University of Sussex Business School.
    9. Janaina Pamplona da Costa, 2015. "Network (Mis)Alignment, Technology Policy and Innovation: The Tale of Two Brazilian Cities," SPRU Working Paper Series 2015-14, SPRU - Science Policy Research Unit, University of Sussex Business School.
    10. Rafols, Ismael & Ciarli, Tommaso & Chavarro, Diego, 2015. "Under-reporting research relevant to local needs in the global south. Database biases in the representation of knowledge on rice," SocArXiv 3kf9d, Center for Open Science.
    11. Matias Federico Milia & Ariadna Nebot Giralt & Rigas Arvanitis, 2022. "Local emergence, global expansion: understanding the structural evolution of a bi-lingual national research landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7369-7395, December.
    12. Roman Jurowetzki, 2015. "Unpacking Big Systems - Natural Language Processing meets Network Analysis. A Study of Smart Grid Development in Denmark," SPRU Working Paper Series 2015-15, SPRU - Science Policy Research Unit, University of Sussex Business School.

  9. Rafols, Ismael & Ciarli, Tommaso & Chavarro, Diego, 2015. "Under-reporting research relevant to local needs in the global south. Database biases in the representation of knowledge on rice," SocArXiv 3kf9d, Center for Open Science.

    Cited by:

    1. Tommaso Ciarli & Ismael Ràfols, 2018. "The Relation Between Research Priorities and Societal Demands: The Case of Rice," SPRU Working Paper Series 2018-12, SPRU - Science Policy Research Unit, University of Sussex Business School.
    2. Rafols, Ismael & Noyons, Ed & Confraria, Hugo & Ciarli, Tommaso, 2021. "Visualising plural mappings of science for Sustainable Development Goals (SDGs)," SocArXiv yfqbd, Center for Open Science.
    3. Jonathan Iyandemye & Marshall P Thomas, 2019. "Low income countries have the highest percentages of open access publication: A systematic computational analysis of the biomedical literature," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-11, July.
    4. Confraria, Hugo & Godinho, Manuel & Wang, Lili, 2016. "Determinants of citation impact: A comparative analysis of the Global South versus the Global North," MERIT Working Papers 2016-029, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    5. Pitambar Gautam, 2017. "An overview of the Web of Science record of scientific publications (2004–2013) from Nepal: focus on disciplinary diversity and international collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1245-1267, December.
    6. Lorenzo Cassi & Agénor Lahatte & Ismael Rafols & Pierre Sautier & Elisabeth de Turckheim, 2017. "Improving fitness: Mapping research priorities against societal needs on obesity," PSE-Ecole d'économie de Paris (Postprint) hal-01629960, HAL.
    7. Jonathan P. Tennant & Harry Crane & Tom Crick & Jacinto Davila & Asura Enkhbayar & Johanna Havemann & Bianca Kramer & Ryan Martin & Paola Masuzzo & Andy Nobes & Curt Rice & Bárbara Rivera-López & Tony, 2019. "Ten Hot Topics around Scholarly Publishing," Publications, MDPI, vol. 7(2), pages 1-24, May.

  10. Tommaso Ciarli & Alex Coad & Ismael Rafols, 2015. "Quantitative Analysis of Technology Futures: A review of Techniques, Uses and Characteristics," SPRU Working Paper Series 2015-23, SPRU - Science Policy Research Unit, University of Sussex Business School.

    Cited by:

    1. Aldo Geuna & Matteo Piolatto, 2015. "Research Assessment in the UK and Italy: Costly and Difficult, But Probably Worth it (At Least For a While)," SPRU Working Paper Series 2015-27, SPRU - Science Policy Research Unit, University of Sussex Business School.
    2. Lorenz Gollwitzer & David Ockwell & Adrian Ely, 2015. "Institutional Innovation in the Management of Pro-Poor Energy Access in East Africa," SPRU Working Paper Series 2015-29, SPRU - Science Policy Research Unit, University of Sussex Business School.
    3. Mariana Mazzucato, 2015. "From Market Fixing to Market-Creating: A New Framework for Economic Policy," SPRU Working Paper Series 2015-25, SPRU - Science Policy Research Unit, University of Sussex Business School.
    4. Mariana Mazzucato, 2015. "The Green Entrepreneurial State," SPRU Working Paper Series 2015-28, SPRU - Science Policy Research Unit, University of Sussex Business School.
    5. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
    6. Friedemann Polzin & Steve Sorrell & Colin Nolden, 2015. "Innovative Procurement Frameworks for Energy Performance Contracting in the UK Public Sector," SPRU Working Paper Series 2015-31, SPRU - Science Policy Research Unit, University of Sussex Business School.

  11. Daniele Rotolo & Ismael Rafols & Michael Hopkins & Loet Leydesdorff, 2014. "Scientometric Mapping as a Strategic Intelligence Tool for the Governance of Emerging Technologies," SPRU Working Paper Series 2014-10, SPRU - Science Policy Research Unit, University of Sussex Business School.

    Cited by:

    1. Daniele Rotolo & Loet Leydesdorff, 2014. "Matching MEDLINE/PubMed Data with Web of Science (WOS): A Routine in R language," SPRU Working Paper Series 2014-14, SPRU - Science Policy Research Unit, University of Sussex Business School.
    2. Leonid Gokhberg & Ilya Kuzminov & Pavel Bakhtin & Elena Tochilina & Alexander Chulok & Anton Timofeev & Alina Lavrinenko, 2017. "Big-Data-Augmented Approach to Emerging Technologies Identification: Case of Agriculture and Food Sector," HSE Working papers WP BRP 76/STI/2017, National Research University Higher School of Economics.
    3. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.

  12. Molas-Gallart,Jordi & DâEste,Pablo & Llopis,Ãscar & Rafols,Ismael, 2014. "Towards an alternative framework for the evaluation of translational research initiatives," INGENIO (CSIC-UPV) Working Paper Series 201403, INGENIO (CSIC-UPV), revised 03 Dec 2015.

    Cited by:

    1. Yuxian Liu & Ewelina Biskup & Yueqian Wang & Fengfeng Cai & Xiaoyan Zhang, 2020. "A new territory and its pioneer: opening up a dominant research stream for a translational research area," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1213-1228, November.
    2. Gloria Naranjo-Africano & Jaider Vega-Jurado & Liney Manjarres-Henríquez, 2023. "Barriers to Third Mission: organizational and individual antecedents," Journal of Innovation and Entrepreneurship, Springer, vol. 12(1), pages 1-23, December.
    3. Cian O’Donovan & Aleksandra (Ola) Michalec & Joshua R Moon, 2022. "Capabilities for transdisciplinary research," Research Evaluation, Oxford University Press, vol. 31(1), pages 145-158.
    4. Munari, Federico & Toschi, Laura, 2021. "The impact of public funding on science valorisation: an analysis of the ERC Proof-of-Concept Programme," Research Policy, Elsevier, vol. 50(6).
    5. Angela Sy & Traci Hayes & Kelly Laurila & Carlamarie Noboa & Robbert J. Langwerden & Michelle M. Hospital & Doris A. Andújar-Pérez & Lakesha Stevenson & Suzanne M. Randolph Cunningham & Latrice Rollin, 2020. "Evaluating Research Centers in Minority Institutions: Framework, Metrics, Best Practices, and Challenges," IJERPH, MDPI, vol. 17(22), pages 1-20, November.
    6. Alexander D. Rushforth & Sarah de Rijcke, 2017. "Quality monitoring in transition: The challenge of evaluating translational research programs in academic biomedicine," Science and Public Policy, Oxford University Press, vol. 44(4), pages 513-523.
    7. Andrea Bonaccorsi & Nicola Melluso & Francesco Alessandro Massucci, 2022. "Exploring the antecedents of interdisciplinarity at the European Research Council: a topic modeling approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 6961-6991, December.

  13. Diego Chavarro & Puay Tang & Ismael Rafols, 2013. "Interdisciplinarity and research on local issues: evidence from a developing country," SPRU Working Paper Series 2013-14, SPRU - Science Policy Research Unit, University of Sussex Business School.

    Cited by:

    1. D’Este, Pablo & Robinson-García, Nicolás, 2023. "Interdisciplinary research and the societal visibility of science: The advantages of spanning multiple and distant scientific fields," Research Policy, Elsevier, vol. 52(2).
    2. Seokbeom Kwon & Alan Porter & Jan Youtie, 2016. "Navigating the innovation trajectories of technology by combining specialization score analyses for publications and patents: graphene and nano-enabled drug delivery," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1057-1071, March.
    3. Jorge Mañana Rodríguez, 2017. "Disciplinarity and interdisciplinarity in citation and reference dimensions: knowledge importation and exportation taxonomy of journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 617-642, February.
    4. Jorge Mannana-Rodriguez & Elea Giménez-Toledo, 2018. "Specialization and multidisciplinarity of scholarly book publishers: differences between Spanish University Presses and other scholarly publishers," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 19-30, January.
    5. Elena Castro-Martinez & Óscar Llopis & Mabel Sánchez Barrioluengo & Julia Olmos-Peñuela, 2018. "Scientists’ engagement in knowledge transfer and exchange: individual factors, variety of mechanisms and users," Post-Print hal-02062208, HAL.
    6. Jonathan P. Tennant & Harry Crane & Tom Crick & Jacinto Davila & Asura Enkhbayar & Johanna Havemann & Bianca Kramer & Ryan Martin & Paola Masuzzo & Andy Nobes & Curt Rice & Bárbara Rivera-López & Tony, 2019. "Ten Hot Topics around Scholarly Publishing," Publications, MDPI, vol. 7(2), pages 1-24, May.
    7. Tomaz Bartol & Gordana Budimir & Primoz Juznic & Karmen Stopar, 2016. "Mapping and classification of agriculture in Web of Science: other subject categories and research fields may benefit," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 979-996, November.
    8. Diego Chavarro & Puay Tang & Ismael Rafols, 2016. "Why researchers publish in non-mainstream journals: Training, knowledge bridging, and gap filling," SPRU Working Paper Series 2016-22, SPRU - Science Policy Research Unit, University of Sussex Business School.
    9. Charles Ayoubi & Michele Pezzoni & Fabiana Visentin, 2018. "The important thing is not to win, it is to take part: What if scientists benefit from participating in research grant competitions?," Post-Print halshs-03565971, HAL.
    10. Jian Wang & Bart Thijs & Wolfgang Glänzel, 2015. "Interdisciplinarity and Impact: Distinct Effects of Variety, Balance, and Disparity," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-18, May.
    11. Soleidy Rivero Amador & Maidelyn Díaz Pérez & María José López-Huertas & Reinaldo Javier Rodríguez Font, 2018. "Indicator system for managing science, technology and innovation in universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1575-1587, June.
    12. Gregory N. Price & Rhonda V. Sharpe, 2020. "Is the Economics Knowledge Production Function Constrained by Race in the USA?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(2), pages 614-629, June.
    13. Alexis-Michel Mugabushaka & Anthi Kyriakou & Theo Papazoglou, 2016. "Bibliometric indicators of interdisciplinarity: the potential of the Leinster–Cobbold diversity indices to study disciplinary diversity," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 593-607, May.

  14. Ismael Rafols & Loet Leydesdorff & Alice O'Hare & Paul Nightingale & Andy Stirling, 2011. "How Journal Rankings can suppress Interdisciplinary Research – A Comparison between Innovation Studies and Business & Management," DRUID Working Papers 11-05, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.

    Cited by:

    1. Hussain, Simon & Liu, Lana Yan Jun & Miller, Anthony D., 2020. "Accounting as a dichotomised discipline: An analysis of the source materials used in the construction of accounting articles," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 66(C).
    2. Belkhouja, Mustapha & Fattoum, Senda & Yoon, Hyungseok (David), 2021. "Does greater diversification increase individual productivity? The moderating effect of attention allocation," Research Policy, Elsevier, vol. 50(6).
    3. Ben R. Martin, 2016. "What's Happening to Our Universities?," Working Papers wp477, Centre for Business Research, University of Cambridge.
    4. Kevin M. Kniffin & Andrew S. Hanks & Xuechao Qian & Bo Wang & Bruce A. Weinberg, 2020. "Dissertators with Distantly Related Foci Face Divergent Near-Term Outcomes," NBER Working Papers 27825, National Bureau of Economic Research, Inc.
    5. Ronald Rousseau, 2018. "The repeat rate: from Hirschman to Stirling," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 645-653, July.
    6. Jingwei Zheng & Ke Zhang & Boya Han & Jiayi Hou, 2023. "Research Interdisciplinarity and Citation Impact: A Network Analysis of Social Networking Sites Research," SAGE Open, , vol. 13(3), pages 21582440231, August.
    7. Cottafava, Dario & Ascione, Grazia Sveva & Corazza, Laura & Dhir, Amandeep, 2022. "Sustainable development goals research in higher education institutions: An interdisciplinarity assessment through an entropy-based indicator," Journal of Business Research, Elsevier, vol. 151(C), pages 138-155.
    8. Berlemann, Michael & Haucap, Justus, 2015. "Which factors drive the decision to opt out of individual research rankings? An empirical study of academic resistance to change," Research Policy, Elsevier, vol. 44(5), pages 1108-1115.
    9. We Shim & Oh-jin Kwon & Yeong-ho Moon & Keun-hwan Kim, 2016. "Understanding the Dynamic Convergence Phenomenon from the Perspective of Diversity and Persistence: A Cross-Sector Comparative Analysis between the United States and South Korea," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-29, July.
    10. Francesco Giovanni Avallone & Alberto Quagli & Paola Ramassa, 2022. "Interdisciplinary research by accounting scholars: An exploratory study," FINANCIAL REPORTING, FrancoAngeli Editore, vol. 2022(2), pages 5-34.
    11. Jakob Kapeller & Matthias Aistleitner & Stefan Steinerberger, 2017. "Citation Patterns in Economics and Beyond: Assessing the Peculiarities of Economics from Two Scientometric Perspectives," ICAE Working Papers 60, Johannes Kepler University, Institute for Comprehensive Analysis of the Economy.
    12. Wu, Chaojiang & Yan, Erjia & Hill, Chelsey, 2017. "Disciplinary knowledge diffusion in business research," Journal of Informetrics, Elsevier, vol. 11(2), pages 655-668.
    13. Dashi Nazarov & Anton Klarin, 2020. "Taxonomy of Industry 4.0 research: Mapping scholarship and industry insights," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(4), pages 535-556, July.
    14. Jingjing Ren & Fang Wang & Minglu Li, 2023. "Dynamics and characteristics of interdisciplinary research in scientific breakthroughs: case studies of Nobel-winning research in the past 120 years," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4383-4419, August.
    15. Sixian Hah, 2020. "Valuation discourses and disciplinary positioning struggles of academic researchers—A case study of ‘maverick’ academics," Palgrave Communications, Palgrave Macmillan, vol. 6(1), pages 1-11, December.
    16. Froese, Anna, 2020. "Wissenschaft ohne (disziplinäre) Grenzen: Wie sich Interdisziplinarität im deutschen Wissenschaftssystem verankern lässt," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 13(1+2), pages 54-56.
    17. Patrick Röhm, 2018. "Exploring the landscape of corporate venture capital: a systematic review of the entrepreneurial and finance literature," Management Review Quarterly, Springer, vol. 68(3), pages 279-319, August.
    18. Seongkyoon Jeong & Jong-Chan Kim & Jae Young Choi, 2015. "Technology convergence: What developmental stage are we in?," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 841-871, September.
    19. Bertocchi, Graziella & Gambardella, Alfonso & Jappelli, Tullio & Nappi, Carmela A. & Peracchi, Franco, 2015. "Bibliometric evaluation vs. informed peer review: Evidence from Italy," Research Policy, Elsevier, vol. 44(2), pages 451-466.
    20. Rowlinson, Michael & Harvey, Charles & Kelly, Aidan & Morris, Huw & Todeva, Emanuela, 2015. "Accounting for research quality: Research audits and the journal rankings debate," MPRA Paper 67613, University Library of Munich, Germany.
    21. Seokbeom Kwon & Alan Porter & Jan Youtie, 2016. "Navigating the innovation trajectories of technology by combining specialization score analyses for publications and patents: graphene and nano-enabled drug delivery," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1057-1071, March.
    22. Kaltrina Nuredini, 2021. "Investigating Altmetric Information For The Top 1000 Journals From Handelsblatt Ranking In Economic And Business Studies," Journal of Economic Surveys, Wiley Blackwell, vol. 35(5), pages 1315-1343, December.
    23. Kwon, Seokbeom, 2022. "Interdisciplinary knowledge integration as a unique knowledge source for technology development and the role of funding allocation," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    24. Hackett, Edward J. & Leahey, Erin & Parker, John N. & Rafols, Ismael & Hampton, Stephanie E. & Corte, Ugo & Chavarro, Diego & Drake, John M. & Penders, Bart & Sheble, Laura & Vermeulen, Niki & Vision,, 2021. "Do synthesis centers synthesize? A semantic analysis of topical diversity in research," Research Policy, Elsevier, vol. 50(1).
    25. Belkhouja, Mustapha & Yoon, Hyungseok (David), 2018. "How does openness influence the impact of a scholar’s research? An analysis of business scholars’ citations over their careers," Research Policy, Elsevier, vol. 47(10), pages 2037-2047.
    26. Davies, Andrew & Manning, Stephan & Söderlund, Jonas, 2018. "When neighboring disciplines fail to learn from each other: The case of innovation and project management research," Research Policy, Elsevier, vol. 47(5), pages 965-979.
    27. Loet Leydesdorff, 2015. "Can technology life-cycles be indicated by diversity in patent classifications? The crucial role of variety," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1441-1451, December.
    28. Corsi, Marcella & D’Ippoliti, Carlo & Zacchia, Giulia, 2019. "Diversity of backgrounds and ideas: The case of research evaluation in economics," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    29. Fontana, Magda & Iori, Martina & Montobbio, Fabio & Sinatra, Roberta, 2020. "New and atypical combinations: An assessment of novelty and interdisciplinarity," Research Policy, Elsevier, vol. 49(7).
    30. Kapoor, Kawaljeet & Ziaee Bigdeli, Ali & Dwivedi, Yogesh K. & Schroeder, Andreas & Beltagui, Ahmad & Baines, Tim, 2021. "A socio-technical view of platform ecosystems: Systematic review and research agenda," Journal of Business Research, Elsevier, vol. 128(C), pages 94-108.
    31. Frenken, Koen & Heimeriks, Gaston J. & Hoekman, Jarno, 2017. "What drives university research performance? An analysis using the CWTS Leiden Ranking data," Journal of Informetrics, Elsevier, vol. 11(3), pages 859-872.
    32. Simon Hussain & Lana Liu & Yue Wang & Lingyan Zuo, 2015. "Journal Rankings, Collaborative Research and Publication Strategies: Evidence from China," Accounting Education, Taylor & Francis Journals, vol. 24(3), pages 233-255, June.
    33. Jiban K. Pal, 2021. "Visualizing the knowledge outburst in global research on COVID-19," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4173-4193, May.
    34. Whalen, Ryan, 2018. "Boundary spanning innovation and the patent system: Interdisciplinary challenges for a specialized examination system," Research Policy, Elsevier, vol. 47(7), pages 1334-1343.
    35. Andrew Seltzer & Martin Shanahan & Claire Wright, 2022. "The Rise and Fall and Rise (?) of Economic History in Australia," CEH Discussion Papers 05, Centre for Economic History, Research School of Economics, Australian National University.
    36. Jorge Mañana Rodríguez, 2017. "Disciplinarity and interdisciplinarity in citation and reference dimensions: knowledge importation and exportation taxonomy of journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 617-642, February.
    37. Kevin M. Kniffin & Andrew S. Hanks, 2017. "Antecedents and near-term consequences for interdisciplinary dissertators," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1225-1250, June.
    38. Jan Youtie, 2014. "The use of citation speed to understand the effects of a multi-institutional science center," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(3), pages 613-621, September.
    39. Drivas, Kyriakos & Kremmydas, Dimitris, 2020. "The Matthew effect of a journal's ranking," Research Policy, Elsevier, vol. 49(4).
    40. Lorenzo Cassi & Wilfriedo Mescheba & Elisabeth de Turckheim, 2014. "How to evaluate the degree of interdisciplinarity of an institution?," Post-Print hal-00987714, HAL.
    41. Giovanni Abramo & Ciriaco Andrea D’Angelo & Myroslava Hladchenko, 2023. "Assessing the effects of publication requirements for professorship on research performance and publishing behaviour of Ukrainian academics," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4589-4609, August.
    42. Alfonso Ávila-Robinson & Cristian Mejia & Shintaro Sengoku, 2021. "Are bibliometric measures consistent with scientists’ perceptions? The case of interdisciplinarity in research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7477-7502, September.
    43. Claire Wright & Simon Ville, 2017. "The Evolution of an Intellectual Community Through the Words of Its Founders: Recollections of Australia's Economic History Field," Australian Economic History Review, Economic History Society of Australia and New Zealand, vol. 57(3), pages 345-367, November.
    44. Carlo D'Ippoliti, 2021. "“Many‐Citedness”: Citations Measure More Than Just Scientific Quality," Journal of Economic Surveys, Wiley Blackwell, vol. 35(5), pages 1271-1301, December.
    45. Martin, Ben R. & Nightingale, Paul & Yegros-Yegros, Alfredo, 2012. "Science and technology studies: Exploring the knowledge base," Research Policy, Elsevier, vol. 41(7), pages 1182-1204.
    46. Hakyeon Lee, 2015. "Uncovering the multidisciplinary nature of technology management: journal citation network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 51-75, January.
    47. Diana Hicks & Julia Melkers, 2013. "Bibliometrics as a tool for research evaluation," Chapters, in: Albert N. Link & Nicholas S. Vonortas (ed.), Handbook on the Theory and Practice of Program Evaluation, chapter 11, pages 323-349, Edward Elgar Publishing.
    48. Ben Purvis & Hannah Keding & Ashley Lewis & Phil Northall, 2023. "Critical reflections of postgraduate researchers on a collaborative interdisciplinary research project," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    49. María del Carmen Calatrava Moreno & Thomas Auzinger & Hannes Werthner, 2016. "On the uncertainty of interdisciplinarity measurements due to incomplete bibliographic data," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 213-232, April.
    50. Rafols, Ismael & Ciarli, Tommaso & Chavarro, Diego, 2015. "Under-reporting research relevant to local needs in the global south. Database biases in the representation of knowledge on rice," SocArXiv 3kf9d, Center for Open Science.
    51. Jorge Mannana-Rodriguez & Elea Giménez-Toledo, 2018. "Specialization and multidisciplinarity of scholarly book publishers: differences between Spanish University Presses and other scholarly publishers," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 19-30, January.
    52. Fagerberg, Jan & Landström, Hans & Martin, Ben R., 2012. "Exploring the emerging knowledge base of ‘the knowledge society’," Research Policy, Elsevier, vol. 41(7), pages 1121-1131.
    53. Schuitema, Geertje & D. Sintov, Nicole, 2017. "Should we quit our jobs? Challenges, barriers and recommendations for interdisciplinary energy research," Energy Policy, Elsevier, vol. 101(C), pages 246-250.
    54. Sándor Soós & Zsófia Vida & András Schubert, 2018. "Long-term trends in the multidisciplinarity of some typical natural and social sciences, and its implications on the SSH versus STM distinction," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 795-822, March.
    55. Bambang Winarko & A. Abrizah & Muzammil Tahira, 2016. "An assessment of quality, trustworthiness and usability of Indonesian agricultural science journals: stated preference versus revealed preference study," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 289-304, July.
    56. Ran Xu & Navid Ghaffarzadegan, 2018. "Neuroscience bridging scientific disciplines in health: Who builds the bridge, who pays for it?," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1183-1204, November.
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    60. Tomaz Bartol & Gordana Budimir & Primoz Juznic & Karmen Stopar, 2016. "Mapping and classification of agriculture in Web of Science: other subject categories and research fields may benefit," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 979-996, November.
    61. Diego Chavarro & Puay Tang & Ismael Rafols, 2016. "Why researchers publish in non-mainstream journals: Training, knowledge bridging, and gap filling," SPRU Working Paper Series 2016-22, SPRU - Science Policy Research Unit, University of Sussex Business School.
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    96. Anita Milman & John M. Marston & Sarah E. Godsey & Jessica Bolson & Holly P. Jones & C. Susan Weiler, 2017. "Scholarly motivations to conduct interdisciplinary climate change research," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 7(2), pages 239-250, June.
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    98. Michael C. Calver & Maggie Lilith & Christopher R. Dickman, 2013. "A ‘perverse incentive’ from bibliometrics: could National Research Assessment Exercises (NRAEs) restrict literature availability for nature conservation?," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 243-255, April.
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    100. Marco Seeber & Jef Vlegels & Mattia Cattaneo, 2022. "Conditions that do or do not disadvantage interdisciplinary research proposals in project evaluation," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(8), pages 1106-1126, August.
    101. Ratinho, Tiago & Harms, Rainer & Walsh, Steven, 2015. "Structuring the Technology Entrepreneurship publication landscape: Making sense out of chaos," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 168-175.
    102. Yoon, Hyungseok & Belkhouja, Mustapha & Wei, Yingqi & Lee, Sangho, 2021. "Born to be similar? Global isomorphism and the emergence of latecomer business schools," International Business Review, Elsevier, vol. 30(5).
    103. Ian Coelho de Souza Almeida & Rafael Galvão de Almeida & Lucas Resende de Carvalho, 2017. "Academic rankings and pluralism : the case of Brazil and the new version of Qualis," Textos para Discussão Cedeplar-UFMG 569, Cedeplar, Universidade Federal de Minas Gerais.
    104. Adrián Kovács & Bart Looy & Bruno Cassiman, 2015. "Exploring the scope of open innovation: a bibliometric review of a decade of research," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 951-983, September.
    105. Qing Ke, 2023. "Interdisciplinary research and technological impact: evidence from biomedicine," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2035-2077, April.
    106. Xu, Ran & Baghaei Lakeh, Arash & Ghaffarzadegan, Navid, 2021. "Examining the characteristics of impactful research topics: A case of three decades of HIV-AIDS research," Journal of Informetrics, Elsevier, vol. 15(1).
    107. Rakas, Marija & Hain, Daniel S., 2019. "The state of innovation system research: What happens beneath the surface?," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    108. Wullum Nielsen, Mathias & Börjeson, Love, 2019. "Gender diversity in the management field: Does it matter for research outcomes?," Research Policy, Elsevier, vol. 48(7), pages 1617-1632.
    109. Syed Tariq Anwar, 2023. "The sharing economy and collaborative consumption: Strategic issues and global entrepreneurial opportunities," Journal of International Entrepreneurship, Springer, vol. 21(1), pages 60-88, March.
    110. Hannes W. Lampe & Jan Reerink, 2021. "Know your audience: how language complexity affects impact in entrepreneurship science," Journal of Business Economics, Springer, vol. 91(7), pages 1025-1061, September.
    111. Rafael Lata & Sidonia Proff & Thomas Brenner, 2018. "The influence of distance types on co-patenting and co-publishing in the USA and Europe over time," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(1), pages 49-71, July.
    112. Giovanni Abramo & Ciriaco Andrea D'Angelo & Leonardo Grilli, 2021. "The effects of citation-based research evaluation schemes on self-citation behavior," Papers 2102.05358, arXiv.org.
    113. Vogel, Rick & Hattke, Fabian & Petersen, Jessica, 2017. "Journal rankings in management and business studies: What rules do we play by?," Research Policy, Elsevier, vol. 46(10), pages 1707-1722.
    114. Brooks, Chris & Schopohl, Lisa & Walker, James T., 2023. "Comparing perceptions of the impact of journal rankings between fields," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 90(C).
    115. Jenny-Ann Toribio & Richard Markham & Lucy Carter & Archie Law & Robyn Alders & Michael Dibley & Merrilyn Walton & Lucas Shuttleworth & David Guest, 2018. "Research for development to improve health outcomes from agriculture for rural communities: what is needed?," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(3), pages 661-675, June.
    116. Emanuel Kulczycki & Ying Huang & Alesia A. Zuccala & Tim C. E. Engels & Antonio Ferrara & Raf Guns & Janne Pölönen & Gunnar Sivertsen & Zehra Taşkın & Lin Zhang, 2022. "Uses of the Journal Impact Factor in national journal rankings in China and Europe," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(12), pages 1741-1754, December.
    117. Andrea Bonaccorsi & Nicola Melluso & Francesco Alessandro Massucci, 2022. "Exploring the antecedents of interdisciplinarity at the European Research Council: a topic modeling approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 6961-6991, December.
    118. Brooks, Chris & Schopohl, Lisa, 2018. "Topics and trends in finance research: What is published, who publishes it and what gets cited?," The British Accounting Review, Elsevier, vol. 50(6), pages 615-637.
    119. Holly Berman & Rachael Shwom & Cara Cuite, 2019. "Becoming FEW Conscious: A Conceptual Typology of Household Behavior Change Interventions Targeting the Food-Energy-Water (FEW) Nexus," Sustainability, MDPI, vol. 11(18), pages 1-24, September.
    120. Nicky Agate & Rebecca Kennison & Stacy Konkiel & Christopher P. Long & Jason Rhody & Simone Sacchi & Penelope Weber, 2020. "The transformative power of values-enacted scholarship," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-12, December.
    121. Laurens K. Hessels & Stefan P.L. De Jong & Stijn Brouwer, 2018. "Collaboration between Heterogeneous Practitioners in Sustainability Research: A Comparative Analysis of Three Transdisciplinary Programmes," Sustainability, MDPI, vol. 10(12), pages 1-16, December.
    122. Lina Xu & Steven Dellaportas & Jin Wang, 2022. "A study of interdisciplinary accounting research: analysing the diversity of cited references," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(2), pages 2131-2162, June.
    123. Brooks, Chris & Fenton, Evelyn M. & Walker, James T., 2014. "Gender and the evaluation of research," Research Policy, Elsevier, vol. 43(6), pages 990-1001.
    124. Magda Fontana & Martina Iori & Fabio Montobbio & Roberta Sinatra, 2018. "A bridge over troubled water: Interdisciplinarity, Novelty, and Impact," DISCE - Quaderni del Dipartimento di Politica Economica dipe0002, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    125. Sandra Rousseau & Ronald Rousseau, 2021. "Bibliometric Techniques And Their Use In Business And Economics Research," Journal of Economic Surveys, Wiley Blackwell, vol. 35(5), pages 1428-1451, December.
    126. Wm. Dennis Huber, 2016. "Deep impact: impact factors and accounting research," International Journal of Critical Accounting, Inderscience Enterprises Ltd, vol. 8(1), pages 56-67.
    127. Pajić, Dejan, 2015. "On the stability of citation-based journal rankings," Journal of Informetrics, Elsevier, vol. 9(4), pages 990-1006.
    128. Shiji Chen & Yanhui Song & Fei Shu & Vincent Larivière, 2022. "Interdisciplinarity and impact: the effects of the citation time window," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2621-2642, May.
    129. Pim Vugteveen & Rob Lenders & Peter Van den Besselaar, 2014. "The dynamics of interdisciplinary research fields: the case of river research," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 73-96, July.
    130. Shogo Katoh & Rick (H.L.) Aalbers & Shintaro Sengoku, 2021. "Effects and Interactions of Researcher’s Motivation and Personality in Promoting Interdisciplinary and Transdisciplinary Research," Sustainability, MDPI, vol. 13(22), pages 1-19, November.

  15. Ismael Rafols & Patrick van Zwanenberg & Molly Morgan & Paul Nightingale & Adrian Smith, 2010. "Missing links in nanomaterials governance: bringing industrial dynamics and downstream policies into view," SPRU Working Paper Series 180, SPRU - Science Policy Research Unit, University of Sussex Business School.

    Cited by:

    1. Mario Coccia & Ugo Finardi & Diego Margon, 2012. "Current trends in nanotechnology research across worldwide geo-economic players," The Journal of Technology Transfer, Springer, vol. 37(5), pages 777-787, October.
    2. Sheona A. K. Read & Gary S. Kass & Hilary R. Sutcliffe & Steven M. Hankin, 2016. "Foresight Study on the Risk Governance of New Technologies: The Case of Nanotechnology," Risk Analysis, John Wiley & Sons, vol. 36(5), pages 1006-1024, May.

  16. Ismael Rafols & Alan Porter & Loet Leydesdorff, 2009. "Overlay Maps of Science: a New Tool for Research Policy," SPRU Working Paper Series 179, SPRU - Science Policy Research Unit, University of Sussex Business School.

    Cited by:

    1. Diego Chavarro & Puay Tang & Ismael Rafols, 2014. "Interdisciplinarity and research on local issues: evidence from a developing country," Research Evaluation, Oxford University Press, vol. 23(3), pages 195-209.
    2. Sándor Soós & George Kampis, 2011. "Towards a typology of research performance diversity: the case of top Hungarian players," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(2), pages 357-371, May.
    3. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
    4. Xiaozan Lyu & Ping Zhou & Loet Leydesdorff, 2020. "Eco-system mapping of techno-science linkages at the level of scholarly journals and fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2037-2055, September.
    5. Guangyuan Hu & Stephen Carley & Li Tang, 2012. "Visualizing nanotechnology research in Canada: evidence from publication activities, 1990–2009," The Journal of Technology Transfer, Springer, vol. 37(4), pages 550-562, August.
    6. Gibson, Elizabeth & Daim, Tugrul U. & Dabic, Marina, 2019. "Evaluating university industry collaborative research centers," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 181-202.
    7. Bruce Edmonds & Nigel Gilbert & Petra Ahrweiler & Andrea Scharnhorst, 2011. "Simulating the Social Processes of Science," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 14(4), pages 1-14.
    8. Gómez-Núñez, Antonio J. & Batagelj, Vladimir & Vargas-Quesada, Benjamín & Moya-Anegón, Félix & Chinchilla-Rodríguez, Zaida, 2014. "Optimizing SCImago Journal & Country Rank classification by community detection," Journal of Informetrics, Elsevier, vol. 8(2), pages 369-383.
    9. Nieminen, Paavo & Pölönen, Ilkka & Sipola, Tuomo, 2013. "Research literature clustering using diffusion maps," Journal of Informetrics, Elsevier, vol. 7(4), pages 874-886.
    10. Daniele Rotolo & Ismael Rafols & Michael Hopkins & Loet Leydesdorff, 2014. "Scientometric Mapping as a Strategic Intelligence Tool for the Governance of Emerging Technologies," SPRU Working Paper Series 2014-10, SPRU - Science Policy Research Unit, University of Sussex Business School.
    11. Mary Walshok & Josh Shapiro & Nathan Owens, 2014. "Transnational innovation networks aren’t all created equal: towards a classification system," The Journal of Technology Transfer, Springer, vol. 39(3), pages 345-357, June.

  17. Ismael Rafols & Martin Meyer, 2008. "Diversity and network coherence as indicators of interdisciplinarity: Case studies in bionanoscience," SPRU Working Paper Series 167, SPRU - Science Policy Research Unit, University of Sussex Business School.

    Cited by:

    1. Stephen Carley & Alan L. Porter, 2012. "A forward diversity index," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 407-427, February.
    2. D’Este, Pablo & Robinson-García, Nicolás, 2023. "Interdisciplinary research and the societal visibility of science: The advantages of spanning multiple and distant scientific fields," Research Policy, Elsevier, vol. 52(2).
    3. Hamid R. Jamali & Ghasem Azadi-Ahmadabadi & Saeid Asadi, 2018. "Interdisciplinary relations of converging technologies: Nano–Bio–Info–Cogno (NBIC)," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1055-1073, August.
    4. Lin Zhang & Ronald Rousseau & Wolfgang Glänzel, 2016. "Diversity of references as an indicator of the interdisciplinarity of journals: Taking similarity between subject fields into account," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1257-1265, May.
    5. Diego Chavarro & Puay Tang & Ismael Rafols, 2014. "Interdisciplinarity and research on local issues: evidence from a developing country," Research Evaluation, Oxford University Press, vol. 23(3), pages 195-209.
    6. Rousseau, Ronald & Liu, Yuxian & Ye, Fred Y., 2012. "A preliminary investigation on diffusion through a layered system," Journal of Informetrics, Elsevier, vol. 6(2), pages 177-191.
    7. Mario Coccia & Lili Wang, 2014. "Path-breaking directions of nanotechnology-based chemotherapy and molecular cancer therapy," CERIS Working Paper 201401, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    8. Ronald Rousseau, 2018. "The repeat rate: from Hirschman to Stirling," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 645-653, July.
    9. Su, Hsin-Ning & Moaniba, Igam M., 2017. "Investigating the dynamics of interdisciplinary evolution in technology developments," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 12-23.
    10. Núria Bautista-Puig & Jorge Mañana-Rodríguez & Antonio Eleazar Serrano-López, 2021. "Role taxonomy of green and sustainable science and technology journals: exportation, importation, specialization and interdisciplinarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 3871-3892, May.
    11. We Shim & Oh-jin Kwon & Yeong-ho Moon & Keun-hwan Kim, 2016. "Understanding the Dynamic Convergence Phenomenon from the Perspective of Diversity and Persistence: A Cross-Sector Comparative Analysis between the United States and South Korea," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-29, July.
    12. Loet Leydesdorff & Dieter Franz Kogler & Bowen Yan, 2017. "Mapping patent classifications: portfolio and statistical analysis, and the comparison of strengths and weaknesses," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1573-1591, September.
    13. Manuel Goyanes & Márton Demeter & Aurea Grané & Irene Albarrán-Lozano & Homero Gil de Zúñiga, 2020. "A mathematical approach to assess research diversity: operationalization and applicability in communication sciences, political science, and beyond," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2299-2322, December.
    14. Rashad Brugmann & Nicolas Côté & Nathan Postma & Emily A. Shaw & Danielle Pal & John B. Robinson, 2019. "Expanding Student Engagement in Sustainability: Using SDG- and CEL-Focused Inventories to Transform Curriculum at the University of Toronto," Sustainability, MDPI, vol. 11(2), pages 1-20, January.
    15. Wu, Chaojiang & Yan, Erjia & Hill, Chelsey, 2017. "Disciplinary knowledge diffusion in business research," Journal of Informetrics, Elsevier, vol. 11(2), pages 655-668.
    16. Loet Leydesdorff & Gaston Heimeriks & Daniele Rotolo, 2015. "Journal Portfolio Analysis for Countries, Cities, and Organizations: Maps and Comparisons?," SPRU Working Paper Series 2015-11, SPRU - Science Policy Research Unit, University of Sussex Business School.
    17. Jingjing Ren & Fang Wang & Minglu Li, 2023. "Dynamics and characteristics of interdisciplinary research in scientific breakthroughs: case studies of Nobel-winning research in the past 120 years," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4383-4419, August.
    18. Wolfgang Glänzel & Koenraad Debackere, 2022. "Various aspects of interdisciplinarity in research and how to quantify and measure those," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5551-5569, September.
    19. Shiji Chen & Clément Arsenault & Yves Gingras & Vincent Larivière, 2015. "Exploring the interdisciplinary evolution of a discipline: the case of Biochemistry and Molecular Biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1307-1323, February.
    20. Andreas Bjurström & Merritt Polk, 2011. "Climate change and interdisciplinarity: a co-citation analysis of IPCC Third Assessment Report," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 525-550, June.
    21. Jie Zhu & Weijian Hua, 2017. "Visualizing the knowledge domain of sustainable development research between 1987 and 2015: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 893-914, February.
    22. Jiming Hu & Yin Zhang, 2017. "Discovering the interdisciplinary nature of Big Data research through social network analysis and visualization," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 91-109, July.
    23. Meijun Liu & Xiao Hu & Jiang Li, 2018. "Knowledge flow in China’s humanities and social sciences," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 607-626, March.
    24. Wang, Chun-Chieh & Lin, Jia-Tian & Chen, Dar-Zen & Lo, Szu-Chia, 2023. "A New Look at National Diversity of Inventor Teams within Organizations," Journal of Informetrics, Elsevier, vol. 17(1).
    25. Sándor Soós & George Kampis, 2011. "Towards a typology of research performance diversity: the case of top Hungarian players," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(2), pages 357-371, May.
    26. Shunshun Shi & Wenyu Zhang & Shuai Zhang & Jie Chen, 2018. "Does prestige dimension influence the interdisciplinary performance of scientific entities in knowledge flow? Evidence from the e-government field," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1237-1264, November.
    27. Qiuju Zhou & Ronald Rousseau & Liying Yang & Ting Yue & Guoliang Yang, 2012. "A general framework for describing diversity within systems and similarity between systems with applications in informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 787-812, December.
    28. Ricardo Arencibia-Jorge & Rosa Lidia Vega-Almeida & José Luis Jiménez-Andrade & Humberto Carrillo-Calvet, 2022. "Evolutionary stages and multidisciplinary nature of artificial intelligence research," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5139-5158, September.
    29. David Roessner & Alan L. Porter & Nancy J. Nersessian & Stephen Carley, 2013. "Validating indicators of interdisciplinarity: linking bibliometric measures to studies of engineering research labs," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 439-468, February.
    30. Kwon, Seokbeom, 2022. "Interdisciplinary knowledge integration as a unique knowledge source for technology development and the role of funding allocation," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    31. Hackett, Edward J. & Leahey, Erin & Parker, John N. & Rafols, Ismael & Hampton, Stephanie E. & Corte, Ugo & Chavarro, Diego & Drake, John M. & Penders, Bart & Sheble, Laura & Vermeulen, Niki & Vision,, 2021. "Do synthesis centers synthesize? A semantic analysis of topical diversity in research," Research Policy, Elsevier, vol. 50(1).
    32. Jiancheng Guan & Yan Yan & Jingjing Zhang, 2015. "How do collaborative features affect scientific output? Evidences from wind power field," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 333-355, January.
    33. Dejing Kong & Jianzhong Yang & Lingfeng Li, 2020. "Early identification of technological convergence in numerical control machine tool: a deep learning approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 1983-2009, December.
    34. Cristina Páez-Avilés & Frank J. Rijnsoever & Esteve Juanola-Feliu & Josep Samitier, 2018. "Multi-disciplinarity breeds diversity: the influence of innovation project characteristics on diversity creation in nanotechnology," The Journal of Technology Transfer, Springer, vol. 43(2), pages 458-481, April.
    35. Loet Leydesdorff, 2015. "Can technology life-cycles be indicated by diversity in patent classifications? The crucial role of variety," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1441-1451, December.
    36. Costanza, Robert & Kubiszewski, Ida, 2012. "The authorship structure of “ecosystem services†as a transdisciplinary field of scholarship," Ecosystem Services, Elsevier, vol. 1(1), pages 16-25.
    37. Gregorio González-Alcaide, 2021. "Bibliometric studies outside the information science and library science field: uncontainable or uncontrollable?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6837-6870, August.
    38. Massimo Franceschet & Giovanni Colavizza, 2020. "Quantifying the higher-order influence of scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 951-963, November.
    39. Alje van Dam, 2019. "Diversity and its decomposition into variety, balance and disparity," Papers 1902.09167, arXiv.org, revised Feb 2019.
    40. Hu, Xiaojun & Leydesdorff, Loet & Rousseau, Ronald, 2017. "Heterogeneity in an undirected network: Definition and measurement," Journal of Informetrics, Elsevier, vol. 11(2), pages 669-682.
    41. Xian Li & Ronald Rousseau & Liming Liang & Fangjie Xi & Yushuang Lü & Yifan Yuan & Xiaojun Hu, 2022. "Is low interdisciplinarity of references an unexpected characteristic of Nobel Prize winning research?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 2105-2122, April.
    42. Muh-Chyun Tang & Yun Jen Cheng & Kuang Hua Chen, 2017. "A longitudinal study of intellectual cohesion in digital humanities using bibliometric analyses," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 985-1008, November.
    43. Meijun Liu & Dongbo Shi & Jiang Li, 2017. "Double-edged sword of interdisciplinary knowledge flow from hard sciences to humanities and social sciences: Evidence from China," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-16, September.
    44. Berna Beyhan & M. Teoman Pamukçu, 2011. "Nanotechnology research in Turkey: A university-driven achievement," STPS Working Papers 1107, STPS - Science and Technology Policy Studies Center, Middle East Technical University, revised Jul 2011.
    45. Jorge Mañana Rodríguez, 2017. "Disciplinarity and interdisciplinarity in citation and reference dimensions: knowledge importation and exportation taxonomy of journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 617-642, February.
    46. Singh, Mayank & Chakraborty, Tanmoy & Mukherjee, Animesh & Goyal, Pawan, 2016. "Is this conference a top-tier? ConfAssist: An assistive conflict resolution framework for conference categorization," Journal of Informetrics, Elsevier, vol. 10(4), pages 1005-1022.
    47. Loet Leydesdorff & Lutz Bornmann, 2020. "“Interdisciplinarity” and “Synergy” in the Œuvre of Judit Bar-Ilan," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(3), pages 1247-1260, June.
    48. Zuo, Zhiya & Zhao, Kang, 2018. "The more multidisciplinary the better? – The prevalence and interdisciplinarity of research collaborations in multidisciplinary institutions," Journal of Informetrics, Elsevier, vol. 12(3), pages 736-756.
    49. Ruimin Ma & Erjia Yan, 2016. "Uncovering inter-specialty knowledge communication using author citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 839-854, November.
    50. Lorenzo Cassi & Wilfriedo Mescheba & Elisabeth de Turckheim, 2014. "How to evaluate the degree of interdisciplinarity of an institution?," Post-Print hal-00987714, HAL.
    51. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
    52. Xiaolin Shi & Lada A Adamic & Belle L Tseng & Gavin S Clarkson, 2009. "The Impact of Boundary Spanning Scholarly Publications and Patents," PLOS ONE, Public Library of Science, vol. 4(8), pages 1-7, August.
    53. Alfonso Ávila-Robinson & Cristian Mejia & Shintaro Sengoku, 2021. "Are bibliometric measures consistent with scientists’ perceptions? The case of interdisciplinarity in research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7477-7502, September.
    54. Yu-Chun Chen & Hsiao-Yun Yeh & Jau-Ching Wu & Ingo Haschler & Tzeng-Ji Chen & Thomas Wetter, 2011. "Taiwan’s National Health Insurance Research Database: administrative health care database as study object in bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 365-380, February.
    55. Mohr, Alex & Wang, Chengang & Goerzen, Anthony, 2016. "The impact of partner diversity within multiparty international joint ventures," International Business Review, Elsevier, vol. 25(4), pages 883-894.
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    58. Timothy D. Bowman & Andrew Tsou & Chaoqun Ni & Cassidy R. Sugimoto, 2014. "Post-interdisciplinary frames of reference: exploring permeability and perceptions of disciplinarity in the social sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1695-1714, December.
    59. Xiaojun Hu & Ronald Rousseau, 2015. "A simple approach to describe a company’s innovative activities and their technological breadth," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1401-1411, February.
    60. Zhichao Ba & Yujie Cao & Jin Mao & Gang Li, 2019. "A hierarchical approach to analyzing knowledge integration between two fields—a case study on medical informatics and computer science," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1455-1486, June.
    61. Jorge Mannana-Rodriguez & Elea Giménez-Toledo, 2018. "Specialization and multidisciplinarity of scholarly book publishers: differences between Spanish University Presses and other scholarly publishers," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 19-30, January.
    62. DâEste,Pablo & Llopis,Oscar & Yegros,Alfredo, 2013. "Conducting pro-social research: cognitive diversity, research excellence and awareness about the social impact of research," INGENIO (CSIC-UPV) Working Paper Series 201303, INGENIO (CSIC-UPV).
    63. Ismael Rafols & Alan Porter & Loet Leydesdorff, 2009. "Overlay Maps of Science: a New Tool for Research Policy," SPRU Working Paper Series 179, SPRU - Science Policy Research Unit, University of Sussex Business School.
    64. Zhao, Yi & Liu, Lifan & Zhang, Chengzhi, 2022. "Is coronavirus-related research becoming more interdisciplinary? A perspective of co-occurrence analysis and diversity measure of scientific articles," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    65. Kavitha Karunan & Hiran H. Lathabai & Thara Prabhakaran, 2017. "Discovering interdisciplinary interactions between two research fields using citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 335-367, October.
    66. Yury Dranev & Maxim Kotsemir & Boris Syomin, 2018. "Diversity of research publications: relation to agricultural productivity and possible implications for STI policy," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1565-1587, September.
    67. Lin Zhang & Beibei Sun & Zaida Chinchilla-Rodríguez & Lixin Chen & Ying Huang, 2018. "Interdisciplinarity and collaboration: on the relationship between disciplinary diversity in departmental affiliations and reference lists," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 271-291, October.
    68. Massaro, Sebastiano & Lorenzoni, Gianni, 2021. "Nanomedicine: a socio-technical system," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
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    115. Lawson, Cornelia & Soós,Sándor, 2014. "A Thematic Mobility Measure for Econometric Analysis," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201402, University of Turin.
    116. Xuefeng Wang & Zhinan Wang & Ying Huang & Yun Chen & Yi Zhang & Huichao Ren & Rongrong Li & Jinhui Pang, 2017. "Measuring interdisciplinarity of a research system: detecting distinction between publication categories and citation categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 2023-2039, June.
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    118. Loet Leydesdorff, 2018. "Diversity and interdisciplinarity: how can one distinguish and recombine disparity, variety, and balance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 2113-2121, September.
    119. Chen, Shiji & Qiu, Junping & Arsenault, Clément & Larivière, Vincent, 2021. "Exploring the interdisciplinarity patterns of highly cited papers," Journal of Informetrics, Elsevier, vol. 15(1).
    120. Shiyun Wang & Jin Mao & Yujie Cao & Gang Li, 2022. "Integrated knowledge content in an interdisciplinary field: identification, classification, and application," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6581-6614, November.
    121. Tohalino, Jorge A.V. & Amancio, Diego R., 2022. "On predicting research grants productivity via machine learning," Journal of Informetrics, Elsevier, vol. 16(2).
    122. Jingjing Zhang & Yan Yan & Jiancheng Guan, 2015. "Scientific relatedness in solar energy: a comparative study between the USA and China," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1595-1613, February.
    123. Leydesdorff, Loet & Bornmann, Lutz & Zhou, Ping, 2016. "Construction of a pragmatic base line for journal classifications and maps based on aggregated journal-journal citation relations," Journal of Informetrics, Elsevier, vol. 10(4), pages 902-918.
    124. Ilya V. Ponomarev & Brian K. Lawton & Duane E. Williams & Joshua D. Schnell, 2014. "Breakthrough paper indicator 2.0: can geographical diversity and interdisciplinarity improve the accuracy of outstanding papers prediction?," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(3), pages 755-765, September.
    125. Oviedo-García, M. Ángeles, 2016. "Tourism research quality: Reviewing and assessing interdisciplinarity," Tourism Management, Elsevier, vol. 52(C), pages 586-592.
    126. Alexis-Michel Mugabushaka & Anthi Kyriakou & Theo Papazoglou, 2016. "Bibliometric indicators of interdisciplinarity: the potential of the Leinster–Cobbold diversity indices to study disciplinary diversity," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 593-607, May.
    127. Leydesdorff, Loet & Rafols, Ismael, 2011. "Indicators of the interdisciplinarity of journals: Diversity, centrality, and citations," Journal of Informetrics, Elsevier, vol. 5(1), pages 87-100.
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    130. Jielan Ding & Zhesi Shen & Per Ahlgren & Tobias Jeppsson & David Minguillo & Johan Lyhagen, 2021. "The link between ethnic diversity and scientific impact: the mediating effect of novelty and audience diversity," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7759-7810, September.
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    Cited by:

    1. Can Huang & Ad Notten & Nico Rasters, 2011. "Nanoscience and technology publications and patents: a review of social science studies and search strategies," The Journal of Technology Transfer, Springer, vol. 36(2), pages 145-172, April.
    2. Palmberg, Christopher & Pajarinen, Mika & Nikulainen, Tuomo, 2007. "Transferring Science-based Technologies to Industry - Does Nanotechnology Make a Difference?," Discussion Papers 1064, The Research Institute of the Finnish Economy.

Articles

  1. Hackett, Edward J. & Leahey, Erin & Parker, John N. & Rafols, Ismael & Hampton, Stephanie E. & Corte, Ugo & Chavarro, Diego & Drake, John M. & Penders, Bart & Sheble, Laura & Vermeulen, Niki & Vision,, 2021. "Do synthesis centers synthesize? A semantic analysis of topical diversity in research," Research Policy, Elsevier, vol. 50(1).

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    1. van Loon, Austin, 2022. "Three Families of Automated Text Analysis," SocArXiv htnej, Center for Open Science.
    2. Zhao, Lu-Tao & Xing, Yue-Yue & Zhao, Qiu-Rong & Chen, Xue-Hui, 2023. "Dynamic impacts of online investor sentiment on international crude oil prices," Resources Policy, Elsevier, vol. 82(C).
    3. Fontana, Magda & Iori, Martina & Leone Sciabolazza, Valerio & Souza, Daniel, 2022. "The interdisciplinarity dilemma: Public versus private interests," Research Policy, Elsevier, vol. 51(7).
    4. Maria Bårdsen Hesjedal & Heidrun Åm, 2023. "Making sense of transdisciplinarity: Interpreting science policy in a biotechnology centre," Science and Public Policy, Oxford University Press, vol. 50(2), pages 219-229.
    5. Qing Ke, 2023. "Interdisciplinary research and technological impact: evidence from biomedicine," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2035-2077, April.

  2. Frédérique Bone & Michael M Hopkins & Ismael Ràfols & Jordi Molas-Gallart & Puay Tang & Gail Davey & Antony M Carr, 2020. "DARE to be different? A novel approach for analysing diversity in collaborative research projects," Research Evaluation, Oxford University Press, vol. 29(3), pages 300-315.

    Cited by:

    1. Cian O’Donovan & Aleksandra (Ola) Michalec & Joshua R Moon, 2022. "Capabilities for transdisciplinary research," Research Evaluation, Oxford University Press, vol. 31(1), pages 145-158.

  3. Ciarli, Tommaso & Ràfols, Ismael, 2019. "The relation between research priorities and societal demands: The case of rice," Research Policy, Elsevier, vol. 48(4), pages 949-967.
    See citations under working paper version above.
  4. Ismael Ràfols, 2019. "S&T indicators in the wild: Contextualization and participation for responsible metrics," Research Evaluation, Oxford University Press, vol. 28(1), pages 7-22.

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    1. Rafols, Ismael & Stirling, Andy, 2020. "Designing indicators for opening up evaluation. Insights from research assessment," SocArXiv h2fxp, Center for Open Science.
    2. Similo Ngwenya & Nelius Boshoff, 2022. "Different manifestations of ‘context’: examples from a bibliometric study of research in Zimbabwe in Southern Africa," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 3911-3933, July.

  5. Wallace, Matthew L. & Ràfols, Ismael, 2018. "Institutional shaping of research priorities: A case study on avian influenza," Research Policy, Elsevier, vol. 47(10), pages 1975-1989.

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    1. Lin Zhang & Wenjing Zhao & Jianhua Liu & Gunnar Sivertsen & Ying Huang, 2020. "Do national funding organizations properly address the diseases with the highest burden?: Observations from China and the UK," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1733-1761, November.
    2. Huang, Shengzhi & Huang, Yong & Bu, Yi & Luo, Zhuoran & Lu, Wei, 2023. "Disclosing the interactive mechanism behind scientists’ topic selection behavior from the perspective of the productivity and the impact," Journal of Informetrics, Elsevier, vol. 17(2).
    3. Janzwood, Scott, 2021. "R&D priority-setting for global catastrophic risks: The case of the NASA planetary defense mission," Research Policy, Elsevier, vol. 50(6).
    4. Tommaso Ciarli & Ismael Ràfols, 2018. "The Relation Between Research Priorities and Societal Demands: The Case of Rice," SPRU Working Paper Series 2018-12, SPRU - Science Policy Research Unit, University of Sussex Business School.
    5. Beniamino Callegari & Christophe Feder, 2022. "A Literature Review of Pandemics and Development: the Long-Term Perspective," Economics of Disasters and Climate Change, Springer, vol. 6(1), pages 183-212, March.
    6. Beniamino Callegari & Christophe Feder, 2022. "The long-term economic effects of pandemics: toward an evolutionary approach [Epidemics and trust: the case of the Spanish flu]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(3), pages 715-735.
    7. Buehling, Kilian, 2021. "Changing research topic trends as an effect of publication rankings – The case of German economists and the Handelsblatt Ranking," Journal of Informetrics, Elsevier, vol. 15(3).
    8. Zhang, Lin & ZHAO, Wenjing & Liu, Jianhua & Sivertsen, Gunnar & HUANG, Ying, 2020. "Do national funding organizations properly address the diseases with the highest burden? - Observations from China and the UK," SocArXiv ckpf8, Center for Open Science.
    9. Pemsl, Diemuth E. & Staver, Charles & Hareau, Guy & Alene, Arega D. & Abdoulaye, Tahirou & Kleinwechter, Ulrich & Labarta, Ricardo & Thiele, Graham, 2022. "Prioritizing international agricultural research investments: lessons from a global multi-crop assessment," Research Policy, Elsevier, vol. 51(4).
    10. Ferran Giones & Daniel Laufs & Carsten Schultz, 2020. "Co-creating Science Commercialization Opportunities for Blue Biotechnologies: The FucoSan Project," Sustainability, MDPI, vol. 12(14), pages 1-19, July.
    11. Molas-Gallart, Jordi & Woolley, Richard, 2022. "Research impact seen from the user side," INGENIO (CSIC-UPV) Working Paper Series 202201, INGENIO (CSIC-UPV).
    12. Matias Federico Milia & Ariadna Nebot Giralt & Rigas Arvanitis, 2022. "Local emergence, global expansion: understanding the structural evolution of a bi-lingual national research landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7369-7395, December.
    13. Ávila-Robinson, Alfonso & Islam, Nazrul & Sengoku, Shintaro, 2019. "Co-evolutionary and systemic study on the evolution of emerging stem cell-based therapies," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 324-339.
    14. Kieron Flanagan & Elvira Uyarra & Iris Wanzenböck, 2021. "Towards a problem-oriented regional industrial policy: possibilities for public intervention in framing, valuation and market creation," Working Papers 52, Birkbeck Centre for Innovation Management Research, revised Apr 2021.

  6. Diego Chavarro & Ismael Ràfols & Puay Tang, 2018. "To what extent is inclusion in the Web of Science an indicator of journal ‘quality’?," Research Evaluation, Oxford University Press, vol. 27(2), pages 106-118.
    See citations under working paper version above.
  7. Cassi, Lorenzo & Lahatte, Agénor & Rafols, Ismael & Sautier, Pierre & de Turckheim, Élisabeth, 2017. "Improving fitness: Mapping research priorities against societal needs on obesity," Journal of Informetrics, Elsevier, vol. 11(4), pages 1095-1113.
    See citations under working paper version above.
  8. Daniele Rotolo & Ismael Rafols & Michael M. Hopkins & Loet Leydesdorff, 2017. "Strategic intelligence on emerging technologies: Scientometric overlay mapping," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(1), pages 214-233, January.

    Cited by:

    1. Alexander Petersen & Daniele Rotolo & Loet Leydesdor, 2016. "A Triple Helix Model of Medical Innovation: Supply, Demand, and Technological Capabilities in terms of Medical Subject Headings," SPRU Working Paper Series 2016-01, SPRU - Science Policy Research Unit, University of Sussex Business School.
    2. Loet Leydesdorff & Dieter Franz Kogler & Bowen Yan, 2017. "Mapping patent classifications: portfolio and statistical analysis, and the comparison of strengths and weaknesses," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1573-1591, September.
    3. Comins, Jordan A. & Carmack, Stephanie A. & Leydesdorff, Loet, 2018. "Patent citation spectroscopy (PCS): Online retrieval of landmark patents based on an algorithmic approach," Journal of Informetrics, Elsevier, vol. 12(4), pages 1223-1231.
    4. Tommaso Ciarli & Ismael Ràfols, 2018. "The Relation Between Research Priorities and Societal Demands: The Case of Rice," SPRU Working Paper Series 2018-12, SPRU - Science Policy Research Unit, University of Sussex Business School.
    5. Nicola Grassano & Daniele Rotolo & Joshua Hutton & Frédérique Lang & Michael M. Hopkins, 2017. "Funding Data from Publication Acknowledgments: Coverage, Uses, and Limitations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(4), pages 999-1017, April.
    6. Robinson, Douglas K.R. & Schoen, Antoine & Larédo, Philippe & Gallart, Jordi Molas & Warnke, Philine & Kuhlmann, Stefan & Ordóñez-Matamoros, Gonzalo, 2021. "Policy lensing of future-oriented strategic intelligence: An experiment connecting foresight with decision making contexts," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    7. Payam Hanafizadeh & Seyedali Marjaie, 2020. "Trends and turning points of banking: a timespan view," Review of Managerial Science, Springer, vol. 14(6), pages 1183-1219, December.
    8. Wang, Zhinan & Porter, Alan L. & Wang, Xuefeng & Carley, Stephen, 2019. "An approach to identify emergent topics of technological convergence: A case study for 3D printing," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 723-732.
    9. Burmaoglu, Serhat & Sartenaer, Olivier & Porter, Alan, 2019. "Conceptual definition of technology emergence: A long journey from philosophy of science to science policy," Technology in Society, Elsevier, vol. 59(C).
    10. Sepideh Kaffash & Marianna Marra, 2017. "Data envelopment analysis in financial services: a citations network analysis of banks, insurance companies and money market funds," Annals of Operations Research, Springer, vol. 253(1), pages 307-344, June.
    11. Douglas K. R. Robinson & Antoine Schoen & Philippe Larédo & Jordi Molas Gallart & Philine Warnke & Stefan Kuhlmann & Gonzalo Ordóñez-Matamoros, 2021. "Policy lensing of future-oriented strategic intelligence: An experiment connecting foresight with decision making contexts," Post-Print hal-03232913, HAL.
    12. Xiaozan Lyu & Ping Zhou & Loet Leydesdorff, 2020. "Eco-system mapping of techno-science linkages at the level of scholarly journals and fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2037-2055, September.
    13. Muhammad Omar & Arif Mehmood & Gyu Sang Choi & Han Woo Park, 2017. "Global mapping of artificial intelligence in Google and Google Scholar," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1269-1305, December.
    14. Wooseok Jang & Yongtae Park & Hyeonju Seol, 2021. "Identifying emerging technologies using expert opinions on the future: A topic modeling and fuzzy clustering approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6505-6532, August.
    15. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
    16. Loet Leydesdorff & Inga Ivanova, 2021. "The measurement of “interdisciplinarity” and “synergy” in scientific and extra‐scientific collaborations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(4), pages 387-402, April.
    17. Alina Irina Popescu, 2020. "Long-Term City Innovation Trajectories and Quality of Urban Life," Sustainability, MDPI, vol. 12(24), pages 1-19, December.
    18. Ying Huang & Donghua Zhu & Qi Lv & Alan L. Porter & Douglas K. R. Robinson & Xuefeng Wang, 2017. "Early insights on the Emerging Sources Citation Index (ESCI): an overlay map-based bibliometric study," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 2041-2057, June.
    19. Block, Carolin & Wustmans, Michael & Laibach, Natalie & Bröring, Stefanie, 2021. "Semantic bridging of patents and scientific publications – The case of an emerging sustainability-oriented technology," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    20. Siriram, Rajenlall, 2022. "An innovative approach to overcoming technological challenges and improving firm performance in South Africa," Technology in Society, Elsevier, vol. 68(C).
    21. Luqi Wang & Xiaolong Xue & Zebin Zhao & Zeyu Wang, 2018. "The Impacts of Transportation Infrastructure on Sustainable Development: Emerging Trends and Challenges," IJERPH, MDPI, vol. 15(6), pages 1-24, June.
    22. Alba Santa Soriano & Carolina Lorenzo Álvarez & Rosa María Torres Valdés, 2018. "Bibliometric analysis to identify an emerging research area: Public Relations Intelligence—a challenge to strengthen technological observatories in the network society," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1591-1614, June.
    23. Loet Leydesdorff & Jordan A. Comins & Aaron A. Sorensen & Lutz Bornmann & Iina Hellsten, 2016. "Cited references and Medical Subject Headings (MeSH) as two different knowledge representations: clustering and mappings at the paper level," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2077-2091, December.
    24. Huang, Ying & Porter, Alan L. & Zhang, Yi & Lian, Xiangpeng & Guo, Ying, 2019. "An assessment of technology forecasting: Revisiting earlier analyses on dye-sensitized solar cells (DSSCs)," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 831-843.
    25. Santiago Ruiz-Navas & Kumiko Miyazaki, 2018. "A complement to lexical query’s search-term selection for emerging technologies: the case of “big data”," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 141-162, October.

  9. Chavarro, Diego & Tang, Puay & Ràfols, Ismael, 2017. "Why researchers publish in non-mainstream journals: Training, knowledge bridging, and gap filling," Research Policy, Elsevier, vol. 46(9), pages 1666-1680.
    See citations under working paper version above.
  10. Jordi Molas-Gallart & Pablo D’Este & Oscar Llopis & Ismael Rafols, 2016. "Towards an alternative framework for the evaluation of translational research initiatives," Research Evaluation, Oxford University Press, vol. 25(3), pages 235-243.
    See citations under working paper version above.
  11. Rafols, Ismael & Hopkins, Michael M. & Hoekman, Jarno & Siepel, Josh & O'Hare, Alice & Perianes-Rodríguez, Antonio & Nightingale, Paul, 2014. "Big Pharma, little science?," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 22-38.

    Cited by:

    1. Matteo Lascialfari & Marie-Benoît Magrini & Guillaume Cabanac, 2022. "Unpacking research lock-in through a diachronic analysis of topic cluster trajectories in scholarly publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6165-6189, November.
    2. J. Gómez-Verjan & I. Gonzalez-Sanchez & E. Estrella-Parra & R. Reyes-Chilpa, 2015. "Trends in the chemical and pharmacological research on the tropical trees Calophyllum brasiliense and Calophyllum inophyllum, a global context," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1019-1030, November.
    3. Michele Cincera & Ela Ince, 2019. "Types of Innovation and Firm performance," Working Papers TIMES² 2019-032, ULB -- Universite Libre de Bruxelles.
    4. Fumio Teramae & Tomohiro Makino & Yeongjoo Lim & Shintaro Sengoku & Kota Kodama, 2020. "Impact of Research and Development Strategy on Sustainable Growth in Multinational Pharmaceutical Companies," Sustainability, MDPI, vol. 12(13), pages 1-15, July.
    5. Roberto Camerani & Daniele Rotolo & Nicola Grassano, 2018. "Do Firms Publish? A Multi-Sectoral Analysis," SPRU Working Paper Series 2018-21, SPRU - Science Policy Research Unit, University of Sussex Business School.
    6. Patricia Laurens & Christian Le Bas & Antoine Schoen, 2019. "Worldwide IP coverage of patented inventions in large pharma firms: to what extent do the internationalisation of R&D and firm strategy matter?," Post-Print hal-01725229, HAL.
    7. Krieger, Bastian & Pellens, Maikel & Blind, Knut & Schubert, Torben, 2020. "Are firms withdrawing from basic research? An analysis of firm-level publication behaviour in Germany," ZEW Discussion Papers 20-083, ZEW - Leibniz Centre for European Economic Research.
    8. Blandinieres, Florence & Krieger, Bastian & Pellens, Maikel, 2021. "Cluster support activities in the German biotechnology sector," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 233052.
    9. Rotolo, Daniele & Camerani, Roberto & Grassano, Nicola & Martin, Ben R., 2022. "Why do firms publish? A systematic literature review and a conceptual framework," Research Policy, Elsevier, vol. 51(10).
    10. Sara Amoroso & Simone Vannuccini, 2019. "Teaming up with Large R&D Investors: Good or Bad for Knowledge Production and Diffusion?," JRC Working Papers on Corporate R&D and Innovation 2019-05, Joint Research Centre.
    11. He, Vivianna Fang & von Krogh, Georg & Sirén, Charlotta & Gersdorf, Thomas, 2021. "Asymmetries between partners and the success of university-industry research collaborations," Research Policy, Elsevier, vol. 50(10).
    12. Azagra-Caro, Joaquín M. & Tijssen, Robert J.W. & Tur, Elena M. & Yegros-Yegros, Alfredo, 2019. "University-industry scientific production and the Great Recession," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 210-220.
    13. Cecere, Grazia & Martinelli, Arianna, 2017. "Drivers of knowledge accumulation in electronic waste management: An analysis of publication data," Research Policy, Elsevier, vol. 46(5), pages 925-938.
    14. Gittelman, Michelle, 2016. "The revolution re-visited: Clinical and genetics research paradigms and the productivity paradox in drug discovery," Research Policy, Elsevier, vol. 45(8), pages 1570-1585.
    15. Chen, Shih-Hsin & Lin, Wei-Ting, 2017. "The dynamic role of universities in developing an emerging sector: a case study of the biotechnology sector," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 283-297.
    16. Lauto, Giancarlo & Valentin, Finn, 2016. "The knowledge production model of the New Sciences: The case of Translational Medicine," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 12-21.
    17. Jiang, Hanchen & Qiang, Maoshan & Fan, Qixiang & Zhang, Mengqing, 2018. "Scientific research driven by large-scale infrastructure projects: A case study of the Three Gorges Project in China," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 61-71.
    18. Adrián Kovács & Bart Looy & Bruno Cassiman, 2015. "Exploring the scope of open innovation: a bibliometric review of a decade of research," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 951-983, September.
    19. Vincent Larivière & Benoit Macaluso & Philippe Mongeon & Kyle Siler & Cassidy R Sugimoto, 2018. "Vanishing industries and the rising monopoly of universities in published research," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-10, August.
    20. Michele Boldrin & David K Levine, 2021. "Reforming Patent Law: The Case of Covid‐​19," Levine's Working Paper Archive 786969000000001782, David K. Levine.
    21. Bonnin Roca, Jaime & O'Sullivan, Eoin, 2022. "The role of regulators in mitigating uncertainty within the Valley of Death," Technovation, Elsevier, vol. 109(C).

  12. Diego Chavarro & Puay Tang & Ismael Rafols, 2014. "Interdisciplinarity and research on local issues: evidence from a developing country," Research Evaluation, Oxford University Press, vol. 23(3), pages 195-209.
    See citations under working paper version above.
  13. Loet Leydesdorff & Duncan Kushnir & Ismael Rafols, 2014. "Interactive overlay maps for US patent (USPTO) data based on International Patent Classification (IPC)," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1583-1599, March.

    Cited by:

    1. Quentin Plantec & Pascal Le Masson & Benoit Weil, 2020. "Impact of knowledge search practices on the originality of inventions: a study in the oil & gas industry," Post-Print hal-02613665, HAL.
    2. Shu-Hao Chang, 2018. "A pilot study on the connection between scientific fields and patent classification systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 951-970, March.
    3. Núria Bautista-Puig & Daniela De Filippo & Elba Mauleón & Elías Sanz-Casado, 2019. "Scientific Landscape of Citizen Science Publications: Dynamics, Content and Presence in Social Media," Publications, MDPI, vol. 7(1), pages 1-22, February.
    4. Loet Leydesdorff & Dieter Franz Kogler & Bowen Yan, 2017. "Mapping patent classifications: portfolio and statistical analysis, and the comparison of strengths and weaknesses," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1573-1591, September.
    5. Barbieri, Nicolò & Marzucchi, Alberto & Rizzo, Ugo, 2020. "Knowledge sources and impacts on subsequent inventions: Do green technologies differ from non-green ones?," Research Policy, Elsevier, vol. 49(2).
    6. Zhang, Zhengang & Luo, Taiye, 2020. "Network capital, exploitative and exploratory innovations——from the perspective of network dynamics," Technological Forecasting and Social Change, Elsevier, vol. 152(C).
    7. Stefano Basilico & Holger Graf, 2023. "Bridging technologies in the regional knowledge space: measurement and evolution," Journal of Evolutionary Economics, Springer, vol. 33(4), pages 1085-1124, September.
    8. Cristina Páez-Avilés & Frank J. Rijnsoever & Esteve Juanola-Feliu & Josep Samitier, 2018. "Multi-disciplinarity breeds diversity: the influence of innovation project characteristics on diversity creation in nanotechnology," The Journal of Technology Transfer, Springer, vol. 43(2), pages 458-481, April.
    9. Loet Leydesdorff, 2015. "Can technology life-cycles be indicated by diversity in patent classifications? The crucial role of variety," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1441-1451, December.
    10. Yan Yan & Jiancheng Guan, 2018. "How multiple networks help in creating knowledge: evidence from alternative energy patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 51-77, April.
    11. Zhao Qu & Shanshan Zhang & Chunbo Zhang, 2017. "Patent research in the field of library and information science: Less useful or difficult to explore?," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 205-217, April.
    12. Andrea Bonaccorsi & Filippo Chiarello & Gualtiero Fantoni, 2021. "Impact for whom? Mapping the users of public research with lexicon-based text mining," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1745-1774, February.
    13. Mikhail Rogov & Céline Rozenblat, 2018. "Urban Resilience Discourse Analysis: Towards a Multi-Level Approach to Cities," Sustainability, MDPI, vol. 10(12), pages 1-21, November.
    14. Plantec, Quentin & Le Masson, Pascal & Weil, Benoît, 2021. "Impact of knowledge search practices on the originality of inventions: A study in the oil & gas industry through dynamic patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    15. H. Simon & N. Sick, 2016. "Technological distance measures: new perspectives on nearby and far away," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1299-1320, June.
    16. Jorge Nogueira de Paiva Britto & Leonardo Costa Ribeiro & Lucas Teixeira Araújo & Eduardo da Motta e Albuquerque, 2019. "Patent citations, knowledge flows and catching-up: evidences of different national experiences for the period 1982-2006," Textos para Discussão Cedeplar-UFMG 606, Cedeplar, Universidade Federal de Minas Gerais.
    17. Zhang, Yi & Shang, Lining & Huang, Lu & Porter, Alan L. & Zhang, Guangquan & Lu, Jie & Zhu, Donghua, 2016. "A hybrid similarity measure method for patent portfolio analysis," Journal of Informetrics, Elsevier, vol. 10(4), pages 1108-1130.
    18. Lyu, Yibo & Zhu, Yuqing & Han, Shaojie & He, Binyuan & Bao, Lining, 2020. "Open innovation and innovation "Radicalness"—the moderating effect of network embeddedness," Technology in Society, Elsevier, vol. 62(C).
    19. Manohar, Mahesh & Lathabai, H.H. & George, Susan & Prabhakaran, Thara, 2018. "Wire-free electricity: Insights from a techno-futuristic exploration," Utilities Policy, Elsevier, vol. 53(C), pages 3-14.
    20. Kuan, Chung-Huei & Chen, Dar-Zen & Huang, Mu-Hsuan, 2019. "Bibliographically coupled patents: Their temporal pattern and combined relevance," Journal of Informetrics, Elsevier, vol. 13(4).
    21. Koopo Kwon & Jaeryong So, 2023. "Future Smart Logistics Technology Based on Patent Analysis Using Temporal Network," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
    22. Park, Youngjin & Yoon, Janghyeok, 2017. "Application technology opportunity discovery from technology portfolios: Use of patent classification and collaborative filtering," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 170-183.
    23. Zhenfu Li & Yixuan Wang & Zhao Deng, 2022. "Research on Evolution Characteristics and Factors of Nordic Green Patent Citation Network," Sustainability, MDPI, vol. 14(13), pages 1-21, June.
    24. Barbieri, Nicolò, 2015. "Investigating the impacts of technological position and European environmental regulation on green automotive patent activity," Ecological Economics, Elsevier, vol. 117(C), pages 140-152.
    25. Takano, Yasutomo & Kajikawa, Yuya, 2019. "Extracting commercialization opportunities of the Internet of Things: Measuring text similarity between papers and patents," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 45-68.
    26. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
    27. Tao Hu & Yin Zhang, 2021. "A spatial–temporal network analysis of patent transfers from U.S. universities to firms," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 27-54, January.
    28. Jeff Alstott & Giorgio Triulzi & Bowen Yan & Jianxi Luo, 2017. "Mapping technology space by normalizing patent networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 443-479, January.
    29. Rongying Zhao & Bikun Chen, 2014. "Applying author co-citation analysis to user interaction analysis: a case study on instant messaging groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 985-997, November.
    30. Jumi Hwang & Kyung Hee Kim & Jong Gyu Hwang & Sungchan Jun & Jiwon Yu & Chulung Lee, 2020. "Technological Opportunity Analysis: Assistive Technology for Blind and Visually Impaired People," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    31. Xiaotian Yang, 2022. "Coopetition for innovation in R&D consortia: Moderating roles of size disparity and formal interaction," Asia Pacific Journal of Management, Springer, vol. 39(1), pages 79-102, March.
    32. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
    33. Yi Zhang & Yue Qian & Ying Huang & Ying Guo & Guangquan Zhang & Jie Lu, 2017. "An entropy-based indicator system for measuring the potential of patents in technological innovation: rejecting moderation," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1925-1946, June.
    34. Hiroko Nakamura & Shinji Suzuki & Yuya Kajikawa & Masataka Osawa, 2015. "The effect of patent family information in patent citation network analysis: a comparative case study in the drivetrain domain," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(2), pages 437-452, August.
    35. Jingjing Zhang & Yan Yan & Jiancheng Guan, 2015. "Scientific relatedness in solar energy: a comparative study between the USA and China," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1595-1613, February.
    36. Song, Bomi & Suh, Yongyoon, 2019. "Identifying convergence fields and technologies for industrial safety: LDA-based network analysis," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 115-126.
    37. Su, Yu-Shan & Huang, Hsini & Daim, Tugrul & Chien, Pan-Wei & Peng, Ru-Ling & Karaman Akgul, Arzu, 2023. "Assessing the technological trajectory of 5G-V2X autonomous driving inventions: Use of patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    38. Koopo Kwon & Sungchan Jun & Yong-Jae Lee & Sanghei Choi & Chulung Lee, 2022. "Logistics Technology Forecasting Framework Using Patent Analysis for Technology Roadmap," Sustainability, MDPI, vol. 14(9), pages 1-30, April.
    39. Kevin W. Boyack, 2017. "Thesaurus-based methods for mapping contents of publication sets," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1141-1155, May.
    40. Takano, Yasutomo & Mejia, Cristian & Kajikawa, Yuya, 2016. "Unconnected component inclusion technique for patent network analysis: Case study of Internet of Things-related technologies," Journal of Informetrics, Elsevier, vol. 10(4), pages 967-980.
    41. Kuan, Chung-Huei & Huang, Mu-Hsuan & Chen, Dar-Zen, 2018. "Missing links: Timing characteristics and their implications for capturing contemporaneous technological developments," Journal of Informetrics, Elsevier, vol. 12(1), pages 259-270.
    42. Rosa Maria Arnaldo Valdés & Serhat Burmaoglu & Vincenzo Tucci & Luiz Manuel Braga da Costa Campos & Lucia Mattera & Víctor Fernando Gomez Comendador, 2019. "Flight Path 2050 and ACARE Goals for Maintaining and Extending Industrial Leadership in Aviation: A Map of the Aviation Technology Space," Sustainability, MDPI, vol. 11(7), pages 1-24, April.
    43. Guangtong Li & L. Siddharth & Jianxi Luo, 2023. "Embedding knowledge graph of patent metadata to measure knowledge proximity," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(4), pages 476-490, April.
    44. Wenjing Zhu & Bohong Ma & Lele Kang, 2022. "Technology convergence among various technical fields: improvement of entropy estimation in patent analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7731-7750, December.
    45. Hofmann, Peter & Keller, Robert & Urbach, Nils, 2019. "Inter-technology relationship networks: Arranging technologies through text mining," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 202-213.
    46. Yi Bu & Mengyang Li & Weiye Gu & Win‐bin Huang, 2021. "Topic diversity: A discipline scheme‐free diversity measurement for journals," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(5), pages 523-539, May.
    47. Leng, Zhihui & Sun, Han & Cheng, Jinhua & Wang, Hai & Yao, Zhen, 2021. "China's rare earth industry technological innovation structure and driving factors: A social network analysis based on patents," Resources Policy, Elsevier, vol. 73(C).

  14. Luciano Kay & Nils Newman & Jan Youtie & Alan L. Porter & Ismael Rafols, 2014. "Patent overlay mapping: Visualizing technological distance," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(12), pages 2432-2443, December.

    Cited by:

    1. Su, Hsin-Ning & Moaniba, Igam M., 2017. "Investigating the dynamics of interdisciplinary evolution in technology developments," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 12-23.
    2. Loet Leydesdorff & Dieter Franz Kogler & Bowen Yan, 2017. "Mapping patent classifications: portfolio and statistical analysis, and the comparison of strengths and weaknesses," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1573-1591, September.
    3. Yin Li & Jan Youtie & Philip Shapira, 2015. "Why do technology firms publish scientific papers? The strategic use of science by small and midsize enterprises in nanotechnology," The Journal of Technology Transfer, Springer, vol. 40(6), pages 1016-1033, December.
    4. Stefano Basilico & Holger Graf, 2023. "Bridging technologies in the regional knowledge space: measurement and evolution," Journal of Evolutionary Economics, Springer, vol. 33(4), pages 1085-1124, September.
    5. Seokbeom Kwon & Alan Porter & Jan Youtie, 2016. "Navigating the innovation trajectories of technology by combining specialization score analyses for publications and patents: graphene and nano-enabled drug delivery," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1057-1071, March.
    6. Nomaler, Önder & Verspagen, Bart, 2021. "Patent landscaping using 'green' technological trajectories," MERIT Working Papers 2021-005, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    7. Andrea Bonaccorsi & Filippo Chiarello & Gualtiero Fantoni, 2021. "Impact for whom? Mapping the users of public research with lexicon-based text mining," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1745-1774, February.
    8. Hötte, Kerstin, 2023. "Demand-pull, technology-push, and the direction of technological change," Research Policy, Elsevier, vol. 52(5).
    9. Kerstin Hotte, 2021. "Demand-pull, technology-push, and the direction of technological change," Papers 2104.04813, arXiv.org, revised Jan 2023.
    10. Zhang, Yi & Shang, Lining & Huang, Lu & Porter, Alan L. & Zhang, Guangquan & Lu, Jie & Zhu, Donghua, 2016. "A hybrid similarity measure method for patent portfolio analysis," Journal of Informetrics, Elsevier, vol. 10(4), pages 1108-1130.
    11. Lin, Yatang & Qin, Yu & Xie, Zhuan, 2021. "Does foreign technology transfer spur domestic innovation? Evidence from the high-speed rail sector in China," Journal of Comparative Economics, Elsevier, vol. 49(1), pages 212-229.
    12. Jung, Sukhwan & Yoon, Wan Chul, 2020. "An alternative topic model based on Common Interest Authors for topic evolution analysis," Journal of Informetrics, Elsevier, vol. 14(3).
    13. Manohar, Mahesh & Lathabai, H.H. & George, Susan & Prabhakaran, Thara, 2018. "Wire-free electricity: Insights from a techno-futuristic exploration," Utilities Policy, Elsevier, vol. 53(C), pages 3-14.
    14. Hain, Daniel S. & Jurowetzki, Roman & Buchmann, Tobias & Wolf, Patrick, 2022. "A text-embedding-based approach to measuring patent-to-patent technological similarity," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    15. Seyyed Reza Taher Harikandeh & Sadegh Aliakbary & Soroush Taheri, 2023. "An embedding approach for analyzing the evolution of research topics with a case study on computer science subdomains," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1567-1582, March.
    16. Takano, Yasutomo & Kajikawa, Yuya, 2019. "Extracting commercialization opportunities of the Internet of Things: Measuring text similarity between papers and patents," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 45-68.
    17. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
    18. Kose, Toshihiro & Sakata, Ichiro, 2019. "Identifying technology convergence in the field of robotics research," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 751-766.
    19. Jeff Alstott & Giorgio Triulzi & Bowen Yan & Jianxi Luo, 2017. "Mapping technology space by normalizing patent networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 443-479, January.
    20. Jeon, Eunji & Yoon, Naeun & Sohn, So Young, 2023. "Exploring new digital therapeutics technologies for psychiatric disorders using BERTopic and PatentSBERTa," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    21. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    22. Antonin Bergeaud & Yoann Potiron & Juste Raimbault, 2017. "Classifying patents based on their semantic content," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-22, April.
    23. Jinyoung Kim & Kanghyock Koh, 2023. "Jack of fewer trades: Evolution of specialization in research," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(2), pages 423-452, May.
    24. Ying Huang & Donghua Zhu & Yue Qian & Yi Zhang & Alan L. Porter & Yuqin Liu & Ying Guo, 2017. "A hybrid method to trace technology evolution pathways: a case study of 3D printing," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 185-204, April.
    25. Manuel Castriotta & Maria Chiara Guardo, 2016. "Disentangling the automotive technology structure: a patent co-citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 819-837, May.
    26. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
    27. Yi Zhang & Yue Qian & Ying Huang & Ying Guo & Guangquan Zhang & Jie Lu, 2017. "An entropy-based indicator system for measuring the potential of patents in technological innovation: rejecting moderation," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1925-1946, June.
    28. Katsuyuki Kaneko & Yuya Kajikawa, 2023. "Novelty Score and Technological Relatedness Measurement Using Patent Information in Mergers and Acquisitions: Case Study in the Japanese Electric Motor Industry," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(2), pages 163-177, June.
    29. Yatang Lin & Yu Qin & Zhuan Zie, 2015. "International Technology Transfer and Domestic Innovation: Evidence from the High-Speed Rail Sector in China," CEP Discussion Papers dp1393, Centre for Economic Performance, LSE.
    30. Kevin W. Boyack, 2017. "Thesaurus-based methods for mapping contents of publication sets," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1141-1155, May.
    31. Rosa Maria Arnaldo Valdés & Serhat Burmaoglu & Vincenzo Tucci & Luiz Manuel Braga da Costa Campos & Lucia Mattera & Víctor Fernando Gomez Comendador, 2019. "Flight Path 2050 and ACARE Goals for Maintaining and Extending Industrial Leadership in Aviation: A Map of the Aviation Technology Space," Sustainability, MDPI, vol. 11(7), pages 1-24, April.
    32. Guangtong Li & L. Siddharth & Jianxi Luo, 2023. "Embedding knowledge graph of patent metadata to measure knowledge proximity," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(4), pages 476-490, April.
    33. Sun, Bixuan & Kolesnikov, Sergey & Goldstein, Anna & Chan, Gabriel, 2021. "A dynamic approach for identifying technological breakthroughs with an application in solar photovoltaics," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    34. Hofmann, Peter & Keller, Robert & Urbach, Nils, 2019. "Inter-technology relationship networks: Arranging technologies through text mining," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 202-213.
    35. Puccetti, Giovanni & Giordano, Vito & Spada, Irene & Chiarello, Filippo & Fantoni, Gualtiero, 2023. "Technology identification from patent texts: A novel named entity recognition method," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
    36. Daniele Rotolo & Ismael Rafols & Michael Hopkins & Loet Leydesdorff, 2014. "Scientometric Mapping as a Strategic Intelligence Tool for the Governance of Emerging Technologies," SPRU Working Paper Series 2014-10, SPRU - Science Policy Research Unit, University of Sussex Business School.
    37. Lin Zhu & Donghua Zhu & Xuefeng Wang & Scott W. Cunningham & Zhinan Wang, 2019. "An integrated solution for detecting rising technology stars in co-inventor networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 137-172, October.
    38. Yuya Kajikawa, 2022. "Reframing evidence in evidence-based policy making and role of bibliometrics: toward transdisciplinary scientometric research," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5571-5585, September.

  15. Loet Leydesdorff & Stephen Carley & Ismael Rafols, 2013. "Global maps of science based on the new Web-of-Science categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 589-593, February.

    Cited by:

    1. Yuxian Liu & Ewelina Biskup & Yueqian Wang & Fengfeng Cai & Xiaoyan Zhang, 2020. "A new territory and its pioneer: opening up a dominant research stream for a translational research area," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1213-1228, November.
    2. Shu-Hao Chang, 2018. "A pilot study on the connection between scientific fields and patent classification systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 951-970, March.
    3. Rousseau, Ronald & Guns, Raf & Rahman, A.I.M. Jakaria & Engels, Tim C.E., 2017. "Measuring cognitive distance between publication portfolios," Journal of Informetrics, Elsevier, vol. 11(2), pages 583-594.
    4. Shiji Chen & Clément Arsenault & Yves Gingras & Vincent Larivière, 2015. "Exploring the interdisciplinary evolution of a discipline: the case of Biochemistry and Molecular Biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1307-1323, February.
    5. Xiaojie Yao & Yuan Hu & Huaping Gong & Dongyou Chen, 2021. "Characteristics and Evolution of China’s Industry–University–Research Collaboration to Promote the Sustainable Development: Based on Policy Text Analysis," Sustainability, MDPI, vol. 13(23), pages 1-18, November.
    6. KWON Seokbeom & MOTOHASHI Kazuyuki, 2020. "Incentive or Disincentive for Disclosure of Research Data? A Large-Scale Empirical Analysis and Implications for Open Science Policy," Discussion papers 20058, Research Institute of Economy, Trade and Industry (RIETI).
    7. Seokbeom Kwon & Alan Porter & Jan Youtie, 2016. "Navigating the innovation trajectories of technology by combining specialization score analyses for publications and patents: graphene and nano-enabled drug delivery," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1057-1071, March.
    8. Ricardo Arencibia-Jorge & Rosa Lidia Vega-Almeida & José Luis Jiménez-Andrade & Humberto Carrillo-Calvet, 2022. "Evolutionary stages and multidisciplinary nature of artificial intelligence research," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5139-5158, September.
    9. Liang Zhuang & Chao Ye & Scott N. Lieske, 2020. "Intertwining globality and locality: bibliometric analysis based on the top geography annual conferences in America and China," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1075-1096, February.
    10. Jiancheng Guan & Yan Yan & Jingjing Zhang, 2015. "How do collaborative features affect scientific output? Evidences from wind power field," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 333-355, January.
    11. Kosztyán, Zsolt T. & Csizmadia, Tibor & Katona, Attila I., 2021. "SIMILAR – Systematic iterative multilayer literature review method," Journal of Informetrics, Elsevier, vol. 15(1).
    12. T. Gorjiara & C. Baldock, 2014. "Nanoscience and nanotechnology research publications: a comparison between Australia and the rest of the world," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 121-148, July.
    13. Merigó, José M. & Yang, Jian-Bo, 2017. "A bibliometric analysis of operations research and management science," Omega, Elsevier, vol. 73(C), pages 37-48.
    14. Seyyed Ali Delbari & Siew Imm Ng & Yuhanis Abdul Aziz & Jo Ann Ho, 2015. "Measuring the influence and impact of competitiveness research: a Web of Science approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 773-788, November.
    15. Andrea Bonaccorsi & Filippo Chiarello & Gualtiero Fantoni, 2021. "Impact for whom? Mapping the users of public research with lexicon-based text mining," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1745-1774, February.
    16. Sara Sassetti & Giacomo Marzi & Vincenzo Cavaliere & Cristiano Ciappei, 2018. "Entrepreneurial cognition and socially situated approach: a systematic and bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1675-1718, September.
    17. Hyejin Park & Han Woo Park, 2018. "Two-side face of knowledge building using scientometric analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(6), pages 2815-2836, November.
    18. Juan Miguel Campanario, 2018. "Are leaders really leading? Journals that are first in Web of Science subject categories in the context of their groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 111-130, April.
    19. Timothy D. Bowman & Andrew Tsou & Chaoqun Ni & Cassidy R. Sugimoto, 2014. "Post-interdisciplinary frames of reference: exploring permeability and perceptions of disciplinarity in the social sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1695-1714, December.
    20. Xiaozan Lyu & Ping Zhou & Loet Leydesdorff, 2020. "Eco-system mapping of techno-science linkages at the level of scholarly journals and fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2037-2055, September.
    21. Hric, Darko & Kaski, Kimmo & Kivelä, Mikko, 2018. "Stochastic block model reveals maps of citation patterns and their evolution in time," Journal of Informetrics, Elsevier, vol. 12(3), pages 757-783.
    22. María del Carmen Calatrava Moreno & Thomas Auzinger & Hannes Werthner, 2016. "On the uncertainty of interdisciplinarity measurements due to incomplete bibliographic data," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 213-232, April.
    23. Bruce A. Desmarais & John A. Hird, 2014. "Public policy's bibliography: The use of research in US regulatory impact analyses," Regulation & Governance, John Wiley & Sons, vol. 8(4), pages 497-510, December.
    24. Francesca Bartolacci & Andrea Caputo & Michela Soverchia, 2020. "Sustainability and financial performance of small and medium sized enterprises: A bibliometric and systematic literature review," Business Strategy and the Environment, Wiley Blackwell, vol. 29(3), pages 1297-1309, March.
    25. Wenceslao Arroyo-Machado & Daniel Torres-Salinas & Nicolas Robinson-Garcia, 2021. "Identifying and characterizing social media communities: a socio-semantic network approach to altmetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 9267-9289, November.
    26. Guan, Jiancheng & Yan, Yan & Zhang, Jing Jing, 2017. "The impact of collaboration and knowledge networks on citations," Journal of Informetrics, Elsevier, vol. 11(2), pages 407-422.
    27. Weishu Liu, 2019. "The data source of this study is Web of Science Core Collection? Not enough," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1815-1824, December.
    28. Raminta Pranckutė, 2021. "Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World," Publications, MDPI, vol. 9(1), pages 1-59, March.
    29. Sun, Xiaoling & Ding, Kun & Lin, Yuan, 2016. "Mapping the evolution of scientific fields based on cross-field authors," Journal of Informetrics, Elsevier, vol. 10(3), pages 750-761.
    30. Gibson, Elizabeth & Daim, Tugrul U. & Dabic, Marina, 2019. "Evaluating university industry collaborative research centers," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 181-202.
    31. Carlos Olmeda-Gómez & Carlos Romá-Mateo & Maria-Antonia Ovalle-Perandones, 2019. "Overview of trends in global epigenetic research (2009–2017)," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1545-1574, June.
    32. Weishu Liu & Mengdi Gu & Guangyuan Hu & Chao Li & Huchang Liao & Li Tang & Philip Shapira, 2014. "Profile of developments in biomass-based bioenergy research: a 20-year perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 507-521, May.
    33. Cecere, Grazia & Martinelli, Arianna, 2017. "Drivers of knowledge accumulation in electronic waste management: An analysis of publication data," Research Policy, Elsevier, vol. 46(5), pages 925-938.
    34. Ying Huang & Donghua Zhu & Qi Lv & Alan L. Porter & Douglas K. R. Robinson & Xuefeng Wang, 2017. "Early insights on the Emerging Sources Citation Index (ESCI): an overlay map-based bibliometric study," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 2041-2057, June.
    35. Woodson, Thomas & Alcantara, Julia Torres & do Nascimento, Milena Silva, 2019. "Is 3D printing an inclusive innovation?: An examination of 3D printing in Brazil," Technovation, Elsevier, vol. 80, pages 54-62.
    36. Junwen Zhu & Weishu Liu, 2020. "A tale of two databases: the use of Web of Science and Scopus in academic papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 321-335, April.
    37. Yoshi-aki Shimada & Jun Suzuki, 2017. "Promoting scientodiversity inspired by biodiversity," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1463-1479, December.
    38. Katia A. Figueroa-Rodríguez & Francisco Hernández-Rosas & Benjamín Figueroa-Sandoval & Joel Velasco-Velasco & Noé Aguilar Rivera, 2019. "What Has Been the Focus of Sugarcane Research? A Bibliometric Overview," IJERPH, MDPI, vol. 16(18), pages 1-15, September.
    39. Patrick Wolf & Tobias Buchmann, 2021. "Analyzing development patterns in research networks and technology," Review of Evolutionary Political Economy, Springer, vol. 2(1), pages 55-81, April.
    40. Luba Katz & Rebecca V Fink & Samuel R Bozeman & Barbara J McNeil, 2014. "Using Health Care Utilization and Publication Patterns to Characterize the Research Portfolio and to Plan Future Research Investments," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-12, December.
    41. Cian O’Donovan & Aleksandra (Ola) Michalec & Joshua R. Moon, 2020. "Capabilities for Transdisciplinary Research. An Evaluation Framework and Lessons from the ESRC Nexus Network +," SPRU Working Paper Series 2020-12, SPRU - Science Policy Research Unit, University of Sussex Business School.
    42. Leydesdorff, Loet & Bornmann, Lutz & Zhou, Ping, 2016. "Construction of a pragmatic base line for journal classifications and maps based on aggregated journal-journal citation relations," Journal of Informetrics, Elsevier, vol. 10(4), pages 902-918.
    43. Meihui Li & Na Luo & Yi Lu, 2017. "Biomass Energy Technological Paradigm (BETP): Trends in This Sector," Sustainability, MDPI, vol. 9(4), pages 1-28, April.
    44. Giacomo Marzi & Marina Dabić & Tugrul Daim & Edwin Garces, 2017. "Product and process innovation in manufacturing firms: a 30-year bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 673-704, November.
    45. Jielan Ding & Per Ahlgren & Liying Yang & Ting Yue, 2018. "Disciplinary structures in Nature, Science and PNAS: journal and country levels," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1817-1852, September.
    46. Rahman, A.I.M. Jakaria & Guns, Raf & Rousseau, Ronald & Engels, Tim C.E., 2015. "Is the expertise of evaluation panels congruent with the research interests of the research groups: A quantitative approach based on barycenters," Journal of Informetrics, Elsevier, vol. 9(4), pages 704-721.
    47. Thorsten Lammers & Dilek Cetindamar & Maren Borkert, 2021. "A Digital Tale of Two Cities—Observing the Dynamics of the Artificial Intelligence Ecosystems in Berlin and Sydney," Sustainability, MDPI, vol. 13(19), pages 1-19, September.
    48. Andrea Bonaccorsi & Nicola Melluso & Francesco Alessandro Massucci, 2022. "Exploring the antecedents of interdisciplinarity at the European Research Council: a topic modeling approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 6961-6991, December.
    49. Nieminen, Paavo & Pölönen, Ilkka & Sipola, Tuomo, 2013. "Research literature clustering using diffusion maps," Journal of Informetrics, Elsevier, vol. 7(4), pages 874-886.
    50. Wolfram, Dietmar & Zhao, Yuehua, 2014. "A comparison of journal similarity across six disciplines using citing discipline analysis," Journal of Informetrics, Elsevier, vol. 8(4), pages 840-853.
    51. Yi Bu & Mengyang Li & Weiye Gu & Win‐bin Huang, 2021. "Topic diversity: A discipline scheme‐free diversity measurement for journals," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(5), pages 523-539, May.
    52. Jungjoon Kim & Sangpil Lee & We Shim & Jongseok Kang, 2016. "A Mapping of Marine Biodiversity Research Trends and Collaboration in the East Asia Region from 1996–2015," Sustainability, MDPI, vol. 8(10), pages 1-17, October.
    53. Shir Aviv-Reuven & Ariel Rosenfeld, 2023. "A logical set theory approach to journal subject classification analysis: intra-system irregularities and inter-system discrepancies in Web of Science and Scopus," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 157-175, January.
    54. Stephen F. Carley & Seokbeom Kwon & Alan L. Porter & Jan L. Youtie, 2019. "The relationship between forward and backward diversity in CORE datasets," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 961-974, September.

  16. Loet Leydesdorff & Ismael Rafols & Chaomei Chen, 2013. "Interactive overlays of journals and the measurement of interdisciplinarity on the basis of aggregated journal–journal citations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(12), pages 2573-2586, December.

    Cited by:

    1. Peng, Tai-Quan, 2015. "Assortative mixing, preferential attachment, and triadic closure: A longitudinal study of tie-generative mechanisms in journal citation networks," Journal of Informetrics, Elsevier, vol. 9(2), pages 250-262.
    2. Loet Leydesdorff & Gaston Heimeriks & Daniele Rotolo, 2015. "Journal Portfolio Analysis for Countries, Cities, and Organizations: Maps and Comparisons?," SPRU Working Paper Series 2015-11, SPRU - Science Policy Research Unit, University of Sussex Business School.
    3. Jiang Wu & Miao Jin & Xiu-Hao Ding, 2015. "Diversity of individual research disciplines in scientific funding," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 669-686, May.
    4. Jiming Hu & Yin Zhang, 2017. "Discovering the interdisciplinary nature of Big Data research through social network analysis and visualization," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 91-109, July.
    5. Shunshun Shi & Wenyu Zhang & Shuai Zhang & Jie Chen, 2018. "Does prestige dimension influence the interdisciplinary performance of scientific entities in knowledge flow? Evidence from the e-government field," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1237-1264, November.
    6. Ping Zhou & Youneng Pan, 2015. "A comparative analysis of publication portfolios of selected economies," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 825-842, November.
    7. Loet Leydesdorff, 2015. "Can technology life-cycles be indicated by diversity in patent classifications? The crucial role of variety," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1441-1451, December.
    8. Sarin, Shikhar & Haon, Christophe & Belkhouja, Mustapha & Mas-Tur, Alicia & Roig-Tierno, Norat & Sego, Trina & Porter, Alan & Merigó, José M. & Carley, Stephen, 2020. "Uncovering the knowledge flows and intellectual structures of research in Technological Forecasting and Social Change: A journey through history," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    9. Lorenzo Cassi & Wilfriedo Mescheba & Elisabeth de Turckheim, 2014. "How to evaluate the degree of interdisciplinarity of an institution?," Post-Print hal-00987714, HAL.
    10. Leydesdorff, Loet & Bornmann, Lutz & Marx, Werner & Milojević, Staša, 2014. "Referenced Publication Years Spectroscopy applied to iMetrics: Scientometrics, Journal of Informetrics, and a relevant subset of JASIST," Journal of Informetrics, Elsevier, vol. 8(1), pages 162-174.
    11. María del Carmen Calatrava Moreno & Thomas Auzinger & Hannes Werthner, 2016. "On the uncertainty of interdisciplinarity measurements due to incomplete bibliographic data," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 213-232, April.
    12. Sándor Soós & Zsófia Vida & András Schubert, 2018. "Long-term trends in the multidisciplinarity of some typical natural and social sciences, and its implications on the SSH versus STM distinction," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 795-822, March.
    13. Sun, Xiaoling & Ding, Kun & Lin, Yuan, 2016. "Mapping the evolution of scientific fields based on cross-field authors," Journal of Informetrics, Elsevier, vol. 10(3), pages 750-761.
    14. Carlos Olmeda-Gómez & Carlos Romá-Mateo & Maria-Antonia Ovalle-Perandones, 2019. "Overview of trends in global epigenetic research (2009–2017)," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1545-1574, June.
    15. Ahmad Fareez Ahmad Roslee & Siti Aqlima Ahmad & Claudio Gomez-Fuentes & Noor Azmi Shaharuddin & Khalilah Abdul Khalil & Azham Zulkharnain, 2021. "Scientometric Analysis of Diesel Pollutions in Antarctic Territories: A Review of Causes and Potential Bioremediation Approaches," Sustainability, MDPI, vol. 13(13), pages 1-24, June.
    16. Floris Goerlandt & Jie Li & Genserik Reniers, 2021. "The Landscape of Risk Perception Research: A Scientometric Analysis," Sustainability, MDPI, vol. 13(23), pages 1-26, November.
    17. Ugo Moschini & Elena Fenialdi & Cinzia Daraio & Giancarlo Ruocco & Elisa Molinari, 2020. "A comparison of three multidisciplinarity indices based on the diversity of Scopus subject areas of authors’ documents, their bibliography and their citing papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1145-1158, November.
    18. Silva, Filipi N. & Amancio, Diego R. & Bardosova, Maria & Costa, Luciano da F. & Oliveira, Osvaldo N., 2016. "Using network science and text analytics to produce surveys in a scientific topic," Journal of Informetrics, Elsevier, vol. 10(2), pages 487-502.
    19. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    20. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
    21. Yoshi-aki Shimada & Jun Suzuki, 2017. "Promoting scientodiversity inspired by biodiversity," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1463-1479, December.
    22. Kevin W. Boyack, 2017. "Thesaurus-based methods for mapping contents of publication sets," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1141-1155, May.
    23. Rahman, A.I.M. Jakaria & Guns, Raf & Rousseau, Ronald & Engels, Tim C.E., 2015. "Is the expertise of evaluation panels congruent with the research interests of the research groups: A quantitative approach based on barycenters," Journal of Informetrics, Elsevier, vol. 9(4), pages 704-721.
    24. A. I. M. Jakaria Rahman & Raf Guns & Loet Leydesdorff & Tim C. E. Engels, 2016. "Measuring the match between evaluators and evaluees: cognitive distances between panel members and research groups at the journal level," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1639-1663, December.
    25. Daniele Rotolo & Ismael Rafols & Michael Hopkins & Loet Leydesdorff, 2014. "Scientometric Mapping as a Strategic Intelligence Tool for the Governance of Emerging Technologies," SPRU Working Paper Series 2014-10, SPRU - Science Policy Research Unit, University of Sussex Business School.
    26. Haiyun Xu & Ting Guo & Zenghui Yue & Lijie Ru & Shu Fang, 2016. "Interdisciplinary topics of information science: a study based on the terms interdisciplinarity index series," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 583-601, February.
    27. Shiji Chen & Yanhui Song & Fei Shu & Vincent Larivière, 2022. "Interdisciplinarity and impact: the effects of the citation time window," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2621-2642, May.

  17. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
    See citations under working paper version above.
  18. Loet Leydesdorff & Daniele Rotolo & Ismael Rafols, 2012. "Bibliometric perspectives on medical innovation using the medical subject Headings of PubMed," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2239-2253, November.

    Cited by:

    1. Yaqub, Ohid & Coburn, Josie & Moore, Duncan A.Q., 2023. "Knowledge spillovers from HIV research-funding," SocArXiv gcuhn, Center for Open Science.
    2. Alexander Petersen & Daniele Rotolo & Loet Leydesdor, 2016. "A Triple Helix Model of Medical Innovation: Supply, Demand, and Technological Capabilities in terms of Medical Subject Headings," SPRU Working Paper Series 2016-01, SPRU - Science Policy Research Unit, University of Sussex Business School.
    3. Lv, Yanhua & Ding, Ying & Song, Min & Duan, Zhiguang, 2018. "Topology-driven trend analysis for drug discovery," Journal of Informetrics, Elsevier, vol. 12(3), pages 893-905.
    4. Daniele Rotolo & Loet Leydesdorff, 2014. "Matching MEDLINE/PubMed Data with Web of Science (WOS): A Routine in R language," SPRU Working Paper Series 2014-14, SPRU - Science Policy Research Unit, University of Sussex Business School.
    5. Nicola Grassano & Daniele Rotolo & Joshua Hutton & Frédérique Lang & Michael M. Hopkins, 2017. "Funding Data from Publication Acknowledgments: Coverage, Uses, and Limitations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(4), pages 999-1017, April.
    6. Ma, Jing & Abrams, Natalie F. & Porter, Alan L. & Zhu, Donghua & Farrell, Dorothy, 2019. "Identifying translational indicators and technology opportunities for nanomedical research using tech mining: The case of gold nanostructures," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 767-775.
    7. Timothy D. Bowman & Andrew Tsou & Chaoqun Ni & Cassidy R. Sugimoto, 2014. "Post-interdisciplinary frames of reference: exploring permeability and perceptions of disciplinarity in the social sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1695-1714, December.
    8. Torres-Salinas, Daniel & Rodríguez-Sánchez, Rosa & Robinson-García, Nicolás & Fdez-Valdivia, J. & García, J.A., 2013. "Mapping citation patterns of book chapters in the Book Citation Index," Journal of Informetrics, Elsevier, vol. 7(2), pages 412-424.
    9. Gaetan de Rassenfosse & Kyle Higham & Orion Penner, 2022. "Scientific rewards for biomedical specialization are large and persistent," Working Papers 19, Chair of Science, Technology, and Innovation Policy.
    10. Takano, Yasutomo & Kajikawa, Yuya, 2019. "Extracting commercialization opportunities of the Internet of Things: Measuring text similarity between papers and patents," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 45-68.
    11. Ryosuke L. Ohniwa & Aiko Hibino, 2019. "Generating process of emerging topics in the life sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1549-1561, December.
    12. Jochen Gläser & Wolfgang Glänzel & Andrea Scharnhorst, 2017. "Same data—different results? Towards a comparative approach to the identification of thematic structures in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 981-998, May.
    13. Loet Leydesdorff & Duncan Kushnir & Ismael Rafols, 2014. "Interactive overlay maps for US patent (USPTO) data based on International Patent Classification (IPC)," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1583-1599, March.
    14. Seolmin Yang & So Young Kim, 2023. "Knowledge-integrated research is more disruptive when supported by homogeneous funding sources: a case of US federally funded research in biomedical and life sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3257-3282, June.
    15. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
    16. Kevin W. Boyack, 2017. "Thesaurus-based methods for mapping contents of publication sets," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1141-1155, May.
    17. Ávila-Robinson, Alfonso & Islam, Nazrul & Sengoku, Shintaro, 2019. "Co-evolutionary and systemic study on the evolution of emerging stem cell-based therapies," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 324-339.
    18. Loet Leydesdorff & Jordan A. Comins & Aaron A. Sorensen & Lutz Bornmann & Iina Hellsten, 2016. "Cited references and Medical Subject Headings (MeSH) as two different knowledge representations: clustering and mappings at the paper level," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2077-2091, December.
    19. Goldman, Alyssa W., 2014. "Conceptualizing the interdisciplinary diffusion and evolution of emerging fields: The case of systems biology," Journal of Informetrics, Elsevier, vol. 8(1), pages 43-58.
    20. Loet Leydesdorff, 2013. "Statistics for the dynamic analysis of scientometric data: the evolution of the sciences in terms of trajectories and regimes," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 731-741, September.
    21. Ryosuke L. Ohniwa & Kunio Takeyasu & Aiko Hibino, 2022. "Researcher dynamics in the generation of emerging topics in life sciences and medicine," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 871-884, February.
    22. Daniele Rotolo & Ismael Rafols & Michael Hopkins & Loet Leydesdorff, 2014. "Scientometric Mapping as a Strategic Intelligence Tool for the Governance of Emerging Technologies," SPRU Working Paper Series 2014-10, SPRU - Science Policy Research Unit, University of Sussex Business School.

  19. Leydesdorff, Loet & Rafols, Ismael, 2012. "Interactive overlays: A new method for generating global journal maps from Web-of-Science data," Journal of Informetrics, Elsevier, vol. 6(2), pages 318-332.

    Cited by:

    1. Núria Bautista-Puig & Jorge Mañana-Rodríguez & Antonio Eleazar Serrano-López, 2021. "Role taxonomy of green and sustainable science and technology journals: exportation, importation, specialization and interdisciplinarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 3871-3892, May.
    2. Ping Zhou & Youneng Pan, 2015. "A comparative analysis of publication portfolios of selected economies," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 825-842, November.
    3. Kosztyán, Zsolt T. & Csizmadia, Tibor & Katona, Attila I., 2021. "SIMILAR – Systematic iterative multilayer literature review method," Journal of Informetrics, Elsevier, vol. 15(1).
    4. Loet Leydesdorff & Lutz Bornmann, 2012. "Mapping (USPTO) patent data using overlays to Google Maps," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(7), pages 1442-1458, July.
    5. Andrea Bonaccorsi & Filippo Chiarello & Gualtiero Fantoni, 2021. "Impact for whom? Mapping the users of public research with lexicon-based text mining," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1745-1774, February.
    6. Loet Leydesdorff & Daniele Rotolo & Ismael Rafols, 2012. "Bibliometric perspectives on medical innovation using the medical subject Headings of PubMed," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2239-2253, November.
    7. Xiaozan Lyu & Ping Zhou & Loet Leydesdorff, 2020. "Eco-system mapping of techno-science linkages at the level of scholarly journals and fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2037-2055, September.
    8. Thyago Celso Cavalcante Nepomuceno & Victor Diogho Heuer de Carvalho & Lúcio Camara e Silva & Jadielson Alves de Moura & Ana Paula Cabral Seixas Costa, 2022. "Exploring the Bedouin Syndrome in the Football Fan Culture: Addressing the Hooliganism Phenomena through Networks of Violent Behavior," IJERPH, MDPI, vol. 19(15), pages 1-19, August.
    9. Hric, Darko & Kaski, Kimmo & Kivelä, Mikko, 2018. "Stochastic block model reveals maps of citation patterns and their evolution in time," Journal of Informetrics, Elsevier, vol. 12(3), pages 757-783.
    10. Frank Havemann & Jochen Gläser & Michael Heinz, 2017. "Memetic search for overlapping topics based on a local evaluation of link communities," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1089-1118, May.
    11. Zhang, Baolong & Wang, Hao & Deng, Sanhong & Su, Xinning, 2020. "Measurement and analysis of Chinese journal discriminative capacity," Journal of Informetrics, Elsevier, vol. 14(1).
    12. Sun, Xiaoling & Ding, Kun & Lin, Yuan, 2016. "Mapping the evolution of scientific fields based on cross-field authors," Journal of Informetrics, Elsevier, vol. 10(3), pages 750-761.
    13. Jing Zhang & Xiaomin Liu & Lili Wu, 2016. "The study of subject-classification based on journal coupling and expert subject-classification system," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1149-1170, June.
    14. Hird, Mackenzie D. & Pfotenhauer, Sebastian M., 2017. "How complex international partnerships shape domestic research clusters: Difference-in-difference network formation and research re-orientation in the MIT Portugal Program," Research Policy, Elsevier, vol. 46(3), pages 557-572.
    15. Celeste Vong & Paulo Rita & Nuno António, 2021. "Health-Related Crises in Tourism Destination Management: A Systematic Review," Sustainability, MDPI, vol. 13(24), pages 1-28, December.
    16. Loet Leydesdorff, 2013. "An evaluation of impacts in “Nanoscience & nanotechnology”: steps towards standards for citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 35-55, January.
    17. Loet Leydesdorff & Stephen Carley & Ismael Rafols, 2013. "Global maps of science based on the new Web-of-Science categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 589-593, February.
    18. Loet Leydesdorff & Duncan Kushnir & Ismael Rafols, 2014. "Interactive overlay maps for US patent (USPTO) data based on International Patent Classification (IPC)," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1583-1599, March.
    19. Angelito Calma & Martin Davies, 2016. "Academy of Management Journal, 1958–2014: a citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 959-975, August.
    20. Leydesdorff, Loet & Bornmann, Lutz & Zhou, Ping, 2016. "Construction of a pragmatic base line for journal classifications and maps based on aggregated journal-journal citation relations," Journal of Informetrics, Elsevier, vol. 10(4), pages 902-918.
    21. Kevin W. Boyack, 2017. "Thesaurus-based methods for mapping contents of publication sets," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1141-1155, May.
    22. Loet Leydesdorff, 2013. "Statistics for the dynamic analysis of scientometric data: the evolution of the sciences in terms of trajectories and regimes," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 731-741, September.
    23. A. I. M. Jakaria Rahman & Raf Guns & Loet Leydesdorff & Tim C. E. Engels, 2016. "Measuring the match between evaluators and evaluees: cognitive distances between panel members and research groups at the journal level," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1639-1663, December.
    24. Gómez-Núñez, Antonio J. & Batagelj, Vladimir & Vargas-Quesada, Benjamín & Moya-Anegón, Félix & Chinchilla-Rodríguez, Zaida, 2014. "Optimizing SCImago Journal & Country Rank classification by community detection," Journal of Informetrics, Elsevier, vol. 8(2), pages 369-383.
    25. Andrea Bonaccorsi & Nicola Melluso & Francesco Alessandro Massucci, 2022. "Exploring the antecedents of interdisciplinarity at the European Research Council: a topic modeling approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 6961-6991, December.
    26. Wang, Linyuan & Zhao, Lin & Mao, Guozhu & Zuo, Jian & Du, Huibin, 2017. "Way to accomplish low carbon development transformation: A bibliometric analysis during 1995–2014," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 57-69.

  20. Ismael Rafols & Patrick Zwanenberg & Molly Morgan & Paul Nightingale & Adrian Smith, 2011. "Missing links in nanomaterials governance: bringing industrial dynamics and downstream policies into view," The Journal of Technology Transfer, Springer, vol. 36(6), pages 624-639, December.
    See citations under working paper version above.
  21. Loet Leydesdorff & Ismael Rafols, 2011. "Local emergence and global diffusion of research technologies: An exploration of patterns of network formation," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(5), pages 846-860, May.

    Cited by:

    1. Rousseau, Ronald & Liu, Yuxian & Ye, Fred Y., 2012. "A preliminary investigation on diffusion through a layered system," Journal of Informetrics, Elsevier, vol. 6(2), pages 177-191.
    2. Alexander Petersen & Daniele Rotolo & Loet Leydesdor, 2016. "A Triple Helix Model of Medical Innovation: Supply, Demand, and Technological Capabilities in terms of Medical Subject Headings," SPRU Working Paper Series 2016-01, SPRU - Science Policy Research Unit, University of Sussex Business School.
    3. Yi Zhang & Mengjia Wu & Guangquan Zhang & Jie Lu, 2023. "Stepping beyond your comfort zone: Diffusion‐based network analytics for knowledge trajectory recommendation," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(7), pages 775-790, July.
    4. J. J. Winnink & Robert J. W. Tijssen, 2015. "Early stage identification of breakthroughs at the interface of science and technology: lessons drawn from a landmark publication," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 113-134, January.
    5. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
    6. Yibo Lyu & Quanshan Liu & Binyuan He & Jingfei Nie, 2017. "Structural embeddedness and innovation diffusion: the moderating role of industrial technology grouping," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 889-916, May.
    7. Wang, Xuefeng & Huang, Meng & Wang, Hongyuan & Lei, Ming & Zhu, Donghua & Ren, Jie & Jabeen, Munazza, 2014. "International Collaboration Activity Index: Case study of dye-sensitized solar cells," Journal of Informetrics, Elsevier, vol. 8(4), pages 854-862.
    8. Alfonso Ávila-Robinson & Shintaro Sengoku, 2017. "Tracing the knowledge-building dynamics in new stem cell technologies through techno-scientific networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1691-1720, September.
    9. Stefan Hennemann, 2012. "Evaluating the performance of geographical locations within scientific networks using an aggregation—randomization—re-sampling approach (ARR)," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(12), pages 2393-2404, December.
    10. Leydesdorff, Loet & Rafols, Ismael, 2012. "Interactive overlays: A new method for generating global journal maps from Web-of-Science data," Journal of Informetrics, Elsevier, vol. 6(2), pages 318-332.
    11. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
    12. Per Ahlgren & Peter Pagin & Olle Persson & Maria Svedberg, 2015. "Bibliometric analysis of two subdomains in philosophy: free will and sorites," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 47-73, April.
    13. Igors Skute & Kasia Zalewska-Kurek & Isabella Hatak & Petra Weerd-Nederhof, 2019. "Mapping the field: a bibliometric analysis of the literature on university–industry collaborations," The Journal of Technology Transfer, Springer, vol. 44(3), pages 916-947, June.
    14. Liming Liang & Lixin Chen & Yishan Wu & Junpeng Yuan, 2012. "The role of Chinese universities in enterprise–university research collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 253-269, January.
    15. Jos J. Winnink & Robert J. W. Tijssen & Anthony F. J. van Raan, 2016. "Theory‐changing breakthroughs in science: The impact of research teamwork on scientific discoveries," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1210-1223, May.
    16. Yi Bu & Mengyang Li & Weiye Gu & Win‐bin Huang, 2021. "Topic diversity: A discipline scheme‐free diversity measurement for journals," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(5), pages 523-539, May.
    17. Daniele Rotolo & Ismael Rafols & Michael Hopkins & Loet Leydesdorff, 2014. "Scientometric Mapping as a Strategic Intelligence Tool for the Governance of Emerging Technologies," SPRU Working Paper Series 2014-10, SPRU - Science Policy Research Unit, University of Sussex Business School.

  22. Wagner, Caroline S. & Roessner, J. David & Bobb, Kamau & Klein, Julie Thompson & Boyack, Kevin W. & Keyton, Joann & Rafols, Ismael & Börner, Katy, 2011. "Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature," Journal of Informetrics, Elsevier, vol. 5(1), pages 14-26.

    Cited by:

    1. Stephen Carley & Alan L. Porter, 2012. "A forward diversity index," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 407-427, February.
    2. D’Este, Pablo & Robinson-García, Nicolás, 2023. "Interdisciplinary research and the societal visibility of science: The advantages of spanning multiple and distant scientific fields," Research Policy, Elsevier, vol. 52(2).
    3. Hamid R. Jamali & Ghasem Azadi-Ahmadabadi & Saeid Asadi, 2018. "Interdisciplinary relations of converging technologies: Nano–Bio–Info–Cogno (NBIC)," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1055-1073, August.
    4. Abramo, Giovanni & D'Angelo, Ciriaco Andrea & Di Costa, Flavia, 2019. "Diversification versus specialization in scientific research: Which strategy pays off?," Technovation, Elsevier, vol. 82, pages 51-57.
    5. Pimentel, Erica & Cho, Charles & Bothello, Joel, 2022. "The blind spots of interdisciplinarity in addressing grand challenges," MPRA Paper 114562, University Library of Munich, Germany.
    6. Ronald Rousseau, 2018. "The repeat rate: from Hirschman to Stirling," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 645-653, July.
    7. Romina Rodela, 2016. "On the use of databases about research performance: comments on Karlovčec and Mladenić (2015) and others using the SICRIS database," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2151-2157, December.
    8. Su, Hsin-Ning & Moaniba, Igam M., 2017. "Investigating the dynamics of interdisciplinary evolution in technology developments," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 12-23.
    9. Jingwei Zheng & Ke Zhang & Boya Han & Jiayi Hou, 2023. "Research Interdisciplinarity and Citation Impact: A Network Analysis of Social Networking Sites Research," SAGE Open, , vol. 13(3), pages 21582440231, August.
    10. Cottafava, Dario & Ascione, Grazia Sveva & Corazza, Laura & Dhir, Amandeep, 2022. "Sustainable development goals research in higher education institutions: An interdisciplinarity assessment through an entropy-based indicator," Journal of Business Research, Elsevier, vol. 151(C), pages 138-155.
    11. Dorta-González, Pablo & Dorta-González, María Isabel & Santos-Peñate, Dolores Rosa & Suárez-Vega, Rafael, 2014. "Journal topic citation potential and between-field comparisons: The topic normalized impact factor," Journal of Informetrics, Elsevier, vol. 8(2), pages 406-418.
    12. Yang Li & Huajiao Li & Nairong Liu & Xueyong Liu, 2018. "Important institutions of interinstitutional scientific collaboration networks in materials science," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 85-103, October.
    13. Yuxian Liu & Yishan Wu & Sandra Rousseau & Ronald Rousseau, 2020. "Reflections on and a short review of the science of team science," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 937-950, November.
    14. Lu Huang & Yijie Cai & Erdong Zhao & Shengting Zhang & Yue Shu & Jiao Fan, 2022. "Measuring the interdisciplinarity of Information and Library Science interactions using citation analysis and semantic analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6733-6761, November.
    15. Jensen, Scott & Liu, Xiaozhong & Yu, Yingying & Milojevic, Staša, 2016. "Generation of topic evolution trees from heterogeneous bibliographic networks," Journal of Informetrics, Elsevier, vol. 10(2), pages 606-621.
    16. Juste Raimbault, 2019. "Exploration of an interdisciplinary scientific landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 617-641, May.
    17. Jingjing Ren & Fang Wang & Minglu Li, 2023. "Dynamics and characteristics of interdisciplinary research in scientific breakthroughs: case studies of Nobel-winning research in the past 120 years," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4383-4419, August.
    18. Hajibabaei, Anahita & Schiffauerova, Andrea & Ebadi, Ashkan, 2022. "Gender-specific patterns in the artificial intelligence scientific ecosystem," Journal of Informetrics, Elsevier, vol. 16(2).
    19. Seongkyoon Jeong & Jong-Chan Kim & Jae Young Choi, 2015. "Technology convergence: What developmental stage are we in?," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 841-871, September.
    20. Jiang Wu & Miao Jin & Xiu-Hao Ding, 2015. "Diversity of individual research disciplines in scientific funding," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 669-686, May.
    21. M. Manjula & R. Rengalakshmi, 2021. "Making Research Collaborations: Learning from Processes of Transdisciplinary Engagement in Agricultural Research," Review of Development and Change, , vol. 26(1), pages 25-39, June.
    22. Deana Pennington, 2016. "A conceptual model for knowledge integration in interdisciplinary teams: orchestrating individual learning and group processes," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 6(2), pages 300-312, June.
    23. Meijun Liu & Xiao Hu & Jiang Li, 2018. "Knowledge flow in China’s humanities and social sciences," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 607-626, March.
    24. Giovanni Abramo & Ciriaco Andrea D’Angelo & Flavia Costa, 2017. "Do interdisciplinary research teams deliver higher gains to science?," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 317-336, April.
    25. Shunshun Shi & Wenyu Zhang & Shuai Zhang & Jie Chen, 2018. "Does prestige dimension influence the interdisciplinary performance of scientific entities in knowledge flow? Evidence from the e-government field," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1237-1264, November.
    26. Su, Hsin-Ning & Moaniba, Igam M., 2020. "Does geographic distance to partners affect firm R&D spending? The moderating roles of individuals, firms, and countries," Journal of Business Research, Elsevier, vol. 106(C), pages 12-23.
    27. Philip Shapira & Seokbeom Kwon & Jan Youtie, 2017. "Tracking the emergence of synthetic biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1439-1469, September.
    28. Ricardo Arencibia-Jorge & Rosa Lidia Vega-Almeida & José Luis Jiménez-Andrade & Humberto Carrillo-Calvet, 2022. "Evolutionary stages and multidisciplinary nature of artificial intelligence research," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5139-5158, September.
    29. David Roessner & Alan L. Porter & Nancy J. Nersessian & Stephen Carley, 2013. "Validating indicators of interdisciplinarity: linking bibliometric measures to studies of engineering research labs," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 439-468, February.
    30. Pablo Dorta-González & María Isabel Dorta-González & Rafael Suárez-Vega, 2015. "An approach to the author citation potential: measures of scientific performance which are invariant across scientific fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1467-1496, February.
    31. Davies, Andrew & Manning, Stephan & Söderlund, Jonas, 2018. "When neighboring disciplines fail to learn from each other: The case of innovation and project management research," Research Policy, Elsevier, vol. 47(5), pages 965-979.
    32. Fontana, Magda & Iori, Martina & Montobbio, Fabio & Sinatra, Roberta, 2020. "New and atypical combinations: An assessment of novelty and interdisciplinarity," Research Policy, Elsevier, vol. 49(7).
    33. Meijun Liu & Sijie Yang & Yi Bu & Ning Zhang, 2023. "Female early-career scientists have conducted less interdisciplinary research in the past six decades: evidence from doctoral theses," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    34. Arsev U. Aydinoglu & Suzie Allard & Chad Mitchell, 2016. "Measuring diversity in disciplinary collaboration in research teams: An ecological perspective," Research Evaluation, Oxford University Press, vol. 25(1), pages 18-36.
    35. Bethany K Laursen & Nicole Motzer & Kelly J Anderson, 2022. "Pathways for assessing interdisciplinarity: A systematic review," Research Evaluation, Oxford University Press, vol. 31(3), pages 326-343.
    36. Muh-Chyun Tang & Yun Jen Cheng & Kuang Hua Chen, 2017. "A longitudinal study of intellectual cohesion in digital humanities using bibliometric analyses," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 985-1008, November.
    37. Jorge Mañana Rodríguez, 2017. "Disciplinarity and interdisciplinarity in citation and reference dimensions: knowledge importation and exportation taxonomy of journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 617-642, February.
    38. Kevin M. Kniffin & Andrew S. Hanks, 2017. "Antecedents and near-term consequences for interdisciplinary dissertators," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1225-1250, June.
    39. Haoye Sun & Thorsten Teichert, 2024. "Scarcity in today´s consumer markets: scoping the research landscape by author keywords," Management Review Quarterly, Springer, vol. 74(1), pages 93-120, February.
    40. Silva, F.N. & Rodrigues, F.A. & Oliveira, O.N. & da F. Costa, L., 2013. "Quantifying the interdisciplinarity of scientific journals and fields," Journal of Informetrics, Elsevier, vol. 7(2), pages 469-477.
    41. Zuo, Zhiya & Zhao, Kang, 2018. "The more multidisciplinary the better? – The prevalence and interdisciplinarity of research collaborations in multidisciplinary institutions," Journal of Informetrics, Elsevier, vol. 12(3), pages 736-756.
    42. Moaniba, Igam M. & Su, Hsin-Ning & Lee, Pei-Chun, 2020. "Geographic distance between co-inventors and firm performance: The moderating roles of interfirm and cross-country collaborations," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    43. Lorenzo Cassi & Wilfriedo Mescheba & Elisabeth de Turckheim, 2014. "How to evaluate the degree of interdisciplinarity of an institution?," Post-Print hal-00987714, HAL.
    44. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
    45. Tracy Klarenbeek & Nelius Boshoff, 2018. "Measuring multidisciplinary health research at South African universities: a comparative analysis based on co-authorships and journal subject categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1461-1485, September.
    46. Alfonso Ávila-Robinson & Cristian Mejia & Shintaro Sengoku, 2021. "Are bibliometric measures consistent with scientists’ perceptions? The case of interdisciplinarity in research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7477-7502, September.
    47. Shuto Miyashita & Shintaro Sengoku, 2021. "Scientometrics for management of science: collaboration and knowledge structures and complexities in an interdisciplinary research project," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7419-7444, September.
    48. Fontana, Magda & Iori, Martina & Leone Sciabolazza, Valerio & Souza, Daniel, 2022. "The interdisciplinarity dilemma: Public versus private interests," Research Policy, Elsevier, vol. 51(7).
    49. Banal-Estañol, Albert & Macho-Stadler, Inés & Pérez-Castrillo, David, 2019. "Evaluation in research funding agencies: Are structurally diverse teams biased against?," Research Policy, Elsevier, vol. 48(7), pages 1823-1840.
    50. Haeussler, Carolin & Sauermann, Henry, 2020. "Division of labor in collaborative knowledge production: The role of team size and interdisciplinarity," Research Policy, Elsevier, vol. 49(6).
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    52. Diana Hicks & Julia Melkers, 2013. "Bibliometrics as a tool for research evaluation," Chapters, in: Albert N. Link & Nicholas S. Vonortas (ed.), Handbook on the Theory and Practice of Program Evaluation, chapter 11, pages 323-349, Edward Elgar Publishing.
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    2. Lin Zhang & Ronald Rousseau & Wolfgang Glänzel, 2016. "Diversity of references as an indicator of the interdisciplinarity of journals: Taking similarity between subject fields into account," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1257-1265, May.
    3. Daniele Fanelli & Wolfgang Glänzel, 2013. "Bibliometric Evidence for a Hierarchy of the Sciences," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-11, June.
    4. Cottafava, Dario & Ascione, Grazia Sveva & Corazza, Laura & Dhir, Amandeep, 2022. "Sustainable development goals research in higher education institutions: An interdisciplinarity assessment through an entropy-based indicator," Journal of Business Research, Elsevier, vol. 151(C), pages 138-155.
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    6. Dorta-González, Pablo & Dorta-González, María Isabel & Santos-Peñate, Dolores Rosa & Suárez-Vega, Rafael, 2014. "Journal topic citation potential and between-field comparisons: The topic normalized impact factor," Journal of Informetrics, Elsevier, vol. 8(2), pages 406-418.
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    43. Lee, Won Sang & Sohn, So Young, 2018. "Effects of standardization on the evolution of information and communications technology," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 308-317.
    44. Leydesdorff, Loet & Wagner, Caroline S. & Bornmann, Lutz, 2019. "Interdisciplinarity as diversity in citation patterns among journals: Rao-Stirling diversity, relative variety, and the Gini coefficient," Journal of Informetrics, Elsevier, vol. 13(1), pages 255-269.
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    46. Loet Leydesdorff & Caroline S. Wagner & Lutz Bornmann, 2018. "Betweenness and diversity in journal citation networks as measures of interdisciplinarity—A tribute to Eugene Garfield," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 567-592, February.
    47. Jian Wang & Bart Thijs & Wolfgang Glänzel, 2015. "Interdisciplinarity and Impact: Distinct Effects of Variety, Balance, and Disparity," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-18, May.
    48. Ugo Moschini & Elena Fenialdi & Cinzia Daraio & Giancarlo Ruocco & Elisa Molinari, 2020. "A comparison of three multidisciplinarity indices based on the diversity of Scopus subject areas of authors’ documents, their bibliography and their citing papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1145-1158, November.
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    52. Mingyang Wang & Jiaqi Zhang & Guangsheng Chen & Kah-Hin Chai, 2019. "Examining the influence of open access on journals’ citation obsolescence by modeling the actual citation process," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1621-1641, June.
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    55. P. Dorta-González & M. I. Dorta-González, 2013. "Comparing journals from different fields of science and social science through a JCR subject categories normalized impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 645-672, May.
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    59. Juan María Hernández & Pablo Dorta-González, 2020. "Interdisciplinarity Metric Based on the Co-Citation Network," Mathematics, MDPI, vol. 8(4), pages 1-8, April.
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    67. Xiomara S. Q. Chacon & Thiago C. Silva & Diego R. Amancio, 2020. "Comparing the impact of subfields in scientific journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 625-639, October.
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    70. Li, Xin & Tang, Xuli, 2021. "Characterizing interdisciplinarity in drug research: A translational science perspective," Journal of Informetrics, Elsevier, vol. 15(4).
    71. Goldman, Alyssa W., 2014. "Conceptualizing the interdisciplinary diffusion and evolution of emerging fields: The case of systems biology," Journal of Informetrics, Elsevier, vol. 8(1), pages 43-58.
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    73. Haiyun Xu & Ting Guo & Zenghui Yue & Lijie Ru & Shu Fang, 2016. "Interdisciplinary topics of information science: a study based on the terms interdisciplinarity index series," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 583-601, February.
    74. Shogo Katoh & Rick (H.L.) Aalbers & Shintaro Sengoku, 2021. "Effects and Interactions of Researcher’s Motivation and Personality in Promoting Interdisciplinary and Transdisciplinary Research," Sustainability, MDPI, vol. 13(22), pages 1-19, November.

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    41. Manohar, Mahesh & Lathabai, H.H. & George, Susan & Prabhakaran, Thara, 2018. "Wire-free electricity: Insights from a techno-futuristic exploration," Utilities Policy, Elsevier, vol. 53(C), pages 3-14.
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    81. Chenyujing Yang & Yuanyuan Zhang & Yanjin Xue & Yongji Xue, 2022. "Toward a Socio-Political Approach to Promote the Development of Circular Agriculture: A Critical Review," IJERPH, MDPI, vol. 19(20), pages 1-18, October.
    82. Bruce Edmonds & Nigel Gilbert & Petra Ahrweiler & Andrea Scharnhorst, 2011. "Simulating the Social Processes of Science," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 14(4), pages 1-14.
    83. Chris Fields, 2015. "How small is the center of science? Short cross-disciplinary cycles in co-authorship graphs," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1287-1306, February.
    84. Jin Suk Lee & Tae Ho Song, 2022. "Detection of the Perceptual Gap between Experts and Public for the Successful Implementation of New Policies: Evidence from the Educational Policy Development," Sustainability, MDPI, vol. 14(5), pages 1-11, March.
    85. Matias Federico Milia & Ariadna Nebot Giralt & Rigas Arvanitis, 2022. "Local emergence, global expansion: understanding the structural evolution of a bi-lingual national research landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7369-7395, December.
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    89. Kevin W. Boyack, 2017. "Thesaurus-based methods for mapping contents of publication sets," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1141-1155, May.
    90. Minnu F. Pynadath & T. M. Rofin & Sam Thomas, 2023. "Evolution of customer relationship management to data mining-based customer relationship management: a scientometric analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3241-3272, August.
    91. Mun, Changbae & Yoon, Sejun & Raghavan, Nagarajan & Hwang, Dongwook & Basnet, Subarna & Park, Hyunseok, 2021. "Function score-based technological trend analysis," Technovation, Elsevier, vol. 101(C).
    92. Jielan Ding & Per Ahlgren & Liying Yang & Ting Yue, 2018. "Disciplinary structures in Nature, Science and PNAS: journal and country levels," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1817-1852, September.
    93. Rahman, A.I.M. Jakaria & Guns, Raf & Rousseau, Ronald & Engels, Tim C.E., 2015. "Is the expertise of evaluation panels congruent with the research interests of the research groups: A quantitative approach based on barycenters," Journal of Informetrics, Elsevier, vol. 9(4), pages 704-721.
    94. A. I. M. Jakaria Rahman & Raf Guns & Loet Leydesdorff & Tim C. E. Engels, 2016. "Measuring the match between evaluators and evaluees: cognitive distances between panel members and research groups at the journal level," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1639-1663, December.
    95. Hiran H. Lathabai & Thara Prabhakaran & Manoj Changat, 2017. "Contextual productivity assessment of authors and journals: a network scientometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 711-737, February.
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    98. Torres-Salinas, Daniel & Romero-Frías, Esteban & Arroyo-Machado, Wenceslao, 2019. "Mapping the backbone of the Humanities through the eyes of Wikipedia," Journal of Informetrics, Elsevier, vol. 13(3), pages 793-803.
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    102. Xu, Shuo & Hao, Liyuan & Yang, Guancan & Lu, Kun & An, Xin, 2021. "A topic models based framework for detecting and forecasting emerging technologies," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
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    105. Michel Zitt, 2015. "Meso-level retrieval: IR-bibliometrics interplay and hybrid citation-words methods in scientific fields delineation," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2223-2245, March.
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  25. Ismael Rafols & Martin Meyer, 2010. "Diversity and network coherence as indicators of interdisciplinarity: case studies in bionanoscience," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 263-287, February.
    See citations under working paper version above.
  26. Kiss, Istvan Z. & Broom, Mark & Craze, Paul G. & Rafols, Ismael, 2010. "Can epidemic models describe the diffusion of topics across disciplines?," Journal of Informetrics, Elsevier, vol. 4(1), pages 74-82.

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    2. Wang, Haiying & Wang, Jun & Small, Michael, 2018. "Knowledge transmission model with differing initial transmission and retransmission process," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 478-488.
    3. Wang, Haiying & Moore, Jack Murdoch & Wang, Jun & Small, Michael, 2021. "The distinct roles of initial transmission and retransmission in the persistence of knowledge in complex networks," Applied Mathematics and Computation, Elsevier, vol. 392(C).
    4. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
    5. Liao, Shi-Gen & Yi, Shu-Ping, 2021. "Modeling and analyzing knowledge transmission process considering free-riding behavior of knowledge acquisition: A waterborne disease approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 569(C).
    6. Maryam Zamani & Hassan El-Hajj & Malte Vogl & Holger Kantz & Matteo Valleriani, 2023. "A mathematical model for the process of accumulation of scientific knowledge in the early modern period," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.
    7. Liao, Shi-Gen & Yi, Shu-Ping, 2021. "Modeling and analysis knowledge transmission process in complex networks by considering internalization mechanism," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
    8. Zhu, Hongmiao & Jin, Zhen & Yan, Xin, 2022. "A dynamics model of two kinds of knowledge transmission on duplex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).
    9. Song, Le & Ma, Yinghong, 2022. "Evaluating tacit knowledge diffusion with algebra matrix algorithm based social networks," Applied Mathematics and Computation, Elsevier, vol. 428(C).
    10. Ismael Rafols & Alan Porter & Loet Leydesdorff, 2009. "Overlay Maps of Science: a New Tool for Research Policy," SPRU Working Paper Series 179, SPRU - Science Policy Research Unit, University of Sussex Business School.
    11. Xuan Liu & Shan Jiang & Hsinchun Chen & Catherine A. Larson & Mihail C. Roco, 2015. "Modeling knowledge diffusion in scientific innovation networks: an institutional comparison between China and US with illustration for nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1953-1984, December.
    12. Jiancheng Guan & Wenjia Zhu, 2014. "How knowledge diffuses across countries: a case study in the field of management," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 2129-2144, March.
    13. Si, Xia-Meng & Wang, Wen-Dong & Zhai, Chun-Qing & Ma, Yan, 2017. "A topic evolution model with sentiment and selective attention," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 480-491.
    14. Zhu, Hongmiao & Jin, Zhen, 2023. "A dynamics model of knowledge dissemination in a WeChat Group from perspective of duplex networks," Applied Mathematics and Computation, Elsevier, vol. 454(C).
    15. Cao, Bin & Han, Shui-hua & Jin, Zhen, 2016. "Modeling of knowledge transmission by considering the level of forgetfulness in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 277-287.
    16. Li, Jingjing & Zhang, Yumei & Man, Jiayu & Zhou, Yun & Wu, Xiaojun, 2017. "SISL and SIRL: Two knowledge dissemination models with leader nodes on cooperative learning networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 740-749.
    17. Leydesdorff, Loet & Rafols, Ismael, 2012. "Interactive overlays: A new method for generating global journal maps from Web-of-Science data," Journal of Informetrics, Elsevier, vol. 6(2), pages 318-332.
    18. Bonaccorsi, Andrea & Vargas, Juan, 2010. "Proliferation dynamics in new sciences," Research Policy, Elsevier, vol. 39(8), pages 1034-1050, October.
    19. Zhu, He & Ma, Jing, 2018. "Knowledge diffusion in complex networks by considering time-varying information channels," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 494(C), pages 225-235.
    20. Si, Xia-Meng & Wang, Wen-Dong & Ma, Yan, 2016. "Role of propagation thresholds in sentiment-based model of opinion evolution with information diffusion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 549-559.

  27. Loet Leydesdorff & Ismael Rafols, 2009. "A global map of science based on the ISI subject categories," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(2), pages 348-362, February.

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    2. Pierre-Alexandre Balland & Ron Boschma, 2021. "Do scientific capabilities in specific domains matter for technological diversification in European regions?," Papers in Evolutionary Economic Geography (PEEG) 2116, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised May 2021.
    3. Broström, Anders, 2019. "Academic breeding grounds: Home department conditions and early career performance of academic researchers," Research Policy, Elsevier, vol. 48(7), pages 1647-1665.
    4. Yuxian Liu & Ewelina Biskup & Yueqian Wang & Fengfeng Cai & Xiaoyan Zhang, 2020. "A new territory and its pioneer: opening up a dominant research stream for a translational research area," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1213-1228, November.
    5. Daniel Torres-Salinas & Nicolás Robinson-García & Álvaro Cabezas-Clavijo & Evaristo Jiménez-Contreras, 2014. "Analyzing the citation characteristics of books: edited books, book series and publisher types in the book citation index," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 2113-2127, March.
    6. Akinpelu, O.A. & Olaleye, O. & Fagbola, O., 2023. "The Soil Organic Matter Decomposers: A Bibliometric Analysis," International Journal of Agriculture and Environmental Research, Malwa International Journals Publication, vol. 9(4), August.
    7. Su, Hsin-Ning & Moaniba, Igam M., 2017. "Investigating the dynamics of interdisciplinary evolution in technology developments," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 12-23.
    8. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    9. Rousseau, Ronald & Guns, Raf & Rahman, A.I.M. Jakaria & Engels, Tim C.E., 2017. "Measuring cognitive distance between publication portfolios," Journal of Informetrics, Elsevier, vol. 11(2), pages 583-594.
    10. Shino Iwami, 2017. "Study on the destination of research via knowledge flows," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 273-288, July.
    11. Juste Raimbault, 2019. "Exploration of an interdisciplinary scientific landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 617-641, May.
    12. Saeed-Ul Hassan & Peter Haddawy & Jia Zhu, 2014. "A bibliometric study of the world’s research activity in sustainable development and its sub-areas using scientific literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 549-579, May.
    13. Ganguli, Ina, 2014. "Immigration & Ideas: What Did Russian Scientists 'Bring' to the US?," SITE Working Paper Series 30, Stockholm School of Economics, Stockholm Institute of Transition Economics.
    14. Gao, Qiang & Liang, Zhentao & Wang, Ping & Hou, Jingrui & Chen, Xiuxiu & Liu, Manman, 2021. "Potential index: Revealing the future impact of research topics based on current knowledge networks," Journal of Informetrics, Elsevier, vol. 15(3).
    15. Shino Iwami & Junichiro Mori & Ichiro Sakata & Yuya Kajikawa, 2014. "Detection method of emerging leading papers using time transition," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1515-1533, November.
    16. Yuan Zhou & Heng Lin & Yufei Liu & Wei Ding, 2019. "A novel method to identify emerging technologies using a semi-supervised topic clustering model: a case of 3D printing industry," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 167-185, July.
    17. David N. Matzig & Clemens Schmid & Felix Riede, 2023. "Mapping the field of cultural evolutionary theory and methods in archaeology using bibliometric methods," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-17, December.
    18. Ismael Rafols & Martin Meyer, 2008. "Diversity and network coherence as indicators of interdisciplinarity: Case studies in bionanoscience," SPRU Working Paper Series 167, SPRU - Science Policy Research Unit, University of Sussex Business School.
    19. Carusi, Chiara & Bianchi, Giuseppe, 2019. "Scientific community detection via bipartite scholar/journal graph co-clustering," Journal of Informetrics, Elsevier, vol. 13(1), pages 354-386.
    20. Lyu, Haihua & Bu, Yi & Zhao, Zhenyue & Zhang, Jiarong & Li, Jiang, 2022. "Citation bias in measuring knowledge flow: Evidence from the web of science at the discipline level," Journal of Informetrics, Elsevier, vol. 16(4).
    21. Waltman, Ludo & van Eck, Nees Jan & Noyons, Ed C.M., 2010. "A unified approach to mapping and clustering of bibliometric networks," Journal of Informetrics, Elsevier, vol. 4(4), pages 629-635.
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    23. Sándor Soós & George Kampis, 2011. "Towards a typology of research performance diversity: the case of top Hungarian players," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(2), pages 357-371, May.
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    25. Qiuju Zhou & Ronald Rousseau & Liying Yang & Ting Yue & Guoliang Yang, 2012. "A general framework for describing diversity within systems and similarity between systems with applications in informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 787-812, December.
    26. Ricardo Arencibia-Jorge & Rosa Lidia Vega-Almeida & José Luis Jiménez-Andrade & Humberto Carrillo-Calvet, 2022. "Evolutionary stages and multidisciplinary nature of artificial intelligence research," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5139-5158, September.
    27. Mario Coccia, 2011. "Evolutionary dynamics and scientific flows of nanotechnology research across geo-economic areas," CERIS Working Paper 201101, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    28. Diana Maynard & Benedetto Lepori & Johann Petrak & Xingyi Song & Philippe Laredo, 2020. "Using ontologies to map between research data and policymakers’ presumptions: the experience of the KNOWMAK project," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1275-1290, November.
    29. Loet Leydesdorff & Lutz Bornmann, 2012. "Mapping (USPTO) patent data using overlays to Google Maps," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(7), pages 1442-1458, July.
    30. Sonia E. Monroy & Hernando Diaz, 2018. "Time series-based bibliometric analysis of the dynamics of scientific production," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1139-1159, June.
    31. T. Gorjiara & C. Baldock, 2014. "Nanoscience and nanotechnology research publications: a comparison between Australia and the rest of the world," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 121-148, July.
    32. Zhao, Star X. & Ye, Fred Y., 2012. "Exploring the directed h-degree in directed weighted networks," Journal of Informetrics, Elsevier, vol. 6(4), pages 619-630.
    33. Giovanni Abramo & Ciriaco Andrea D'Angelo & Flavia Costa, 2012. "Identifying interdisciplinarity through the disciplinary classification of coauthors of scientific publications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2206-2222, November.
    34. Sarin, Shikhar & Haon, Christophe & Belkhouja, Mustapha & Mas-Tur, Alicia & Roig-Tierno, Norat & Sego, Trina & Porter, Alan & Merigó, José M. & Carley, Stephen, 2020. "Uncovering the knowledge flows and intellectual structures of research in Technological Forecasting and Social Change: A journey through history," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    35. Payam Hanafizadeh & Seyedali Marjaie, 2020. "Trends and turning points of banking: a timespan view," Review of Managerial Science, Springer, vol. 14(6), pages 1183-1219, December.
    36. Franceschet, Massimo, 2010. "The difference between popularity and prestige in the sciences and in the social sciences: A bibliometric analysis," Journal of Informetrics, Elsevier, vol. 4(1), pages 55-63.
    37. Silva, F.N. & Rodrigues, F.A. & Oliveira, O.N. & da F. Costa, L., 2013. "Quantifying the interdisciplinarity of scientific journals and fields," Journal of Informetrics, Elsevier, vol. 7(2), pages 469-477.
    38. Andrea Bonaccorsi & Filippo Chiarello & Gualtiero Fantoni, 2021. "Impact for whom? Mapping the users of public research with lexicon-based text mining," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1745-1774, February.
    39. Ruimin Ma & Erjia Yan, 2016. "Uncovering inter-specialty knowledge communication using author citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 839-854, November.
    40. Lorenzo Cassi & Wilfriedo Mescheba & Elisabeth de Turckheim, 2014. "How to evaluate the degree of interdisciplinarity of an institution?," Post-Print hal-00987714, HAL.
    41. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
    42. Yu-Chun Chen & Hsiao-Yun Yeh & Jau-Ching Wu & Ingo Haschler & Tzeng-Ji Chen & Thomas Wetter, 2011. "Taiwan’s National Health Insurance Research Database: administrative health care database as study object in bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 365-380, February.
    43. Alexey Lyutov & Yilmaz Uygun & Marc-Thorsten Hütt, 2021. "Machine learning misclassification of academic publications reveals non-trivial interdependencies of scientific disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1173-1186, February.
    44. Loet Leydesdorff & Daniele Rotolo & Ismael Rafols, 2012. "Bibliometric perspectives on medical innovation using the medical subject Headings of PubMed," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2239-2253, November.
    45. Banal-Estañol, Albert & Macho-Stadler, Inés & Pérez-Castrillo, David, 2019. "Evaluation in research funding agencies: Are structurally diverse teams biased against?," Research Policy, Elsevier, vol. 48(7), pages 1823-1840.
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    47. Juan Miguel Campanario, 2018. "Are leaders really leading? Journals that are first in Web of Science subject categories in the context of their groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 111-130, April.
    48. Timothy D. Bowman & Andrew Tsou & Chaoqun Ni & Cassidy R. Sugimoto, 2014. "Post-interdisciplinary frames of reference: exploring permeability and perceptions of disciplinarity in the social sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1695-1714, December.
    49. Torres-Salinas, Daniel & Rodríguez-Sánchez, Rosa & Robinson-García, Nicolás & Fdez-Valdivia, J. & García, J.A., 2013. "Mapping citation patterns of book chapters in the Book Citation Index," Journal of Informetrics, Elsevier, vol. 7(2), pages 412-424.
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    98. Sebastian Grauwin & Pablo Jensen, 2011. "Mapping scientific institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 943-954, December.
    99. Saeed-Ul Hassan & Peter Haddawy, 2013. "Measuring international knowledge flows and scholarly impact of scientific research," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 163-179, January.
    100. Ying Huang & Donghua Zhu & Qi Lv & Alan L. Porter & Douglas K. R. Robinson & Xuefeng Wang, 2017. "Early insights on the Emerging Sources Citation Index (ESCI): an overlay map-based bibliometric study," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 2041-2057, June.
    101. Rosa Rodriguez-Sánchez & J. A. García & J. Fdez-Valdivia, 2014. "Evolutionary games between subject categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 869-888, October.
    102. Lin Zhang & Beibei Sun & Fei Shu & Ying Huang, 2022. "Comparing paper level classifications across different methods and systems: an investigation of Nature publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7633-7651, December.
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    104. M. Angeles Zulueta & Gisela Cantos-Mateos & Benjamín Vargas-Quesada & Carmen Sánchez, 2011. "Research involving women and health in the Medline database, 1965–2005: co-term analysis and visualization of main lines of research," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 679-706, September.
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    106. Quirin, Arnaud & Cordón, Oscar & Vargas-Quesada, Benjamín & de Moya-Anegón, Félix, 2010. "Graph-based data mining: A new tool for the analysis and comparison of scientific domains represented as scientograms," Journal of Informetrics, Elsevier, vol. 4(3), pages 291-312.
    107. Loet Leydesdorff & Lutz Bornmann & Caroline S. Wagner, 2017. "Generating clustered journal maps: an automated system for hierarchical classification," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1601-1614, March.
    108. Chaomei Chen & Min Song, 2019. "Visualizing a field of research: A methodology of systematic scientometric reviews," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-25, October.
    109. Wenceslao Arroyo-Machado & Daniel Torres-Salinas & Enrique Herrera-Viedma & Esteban Romero-Frías, 2020. "Science through Wikipedia: A novel representation of open knowledge through co-citation networks," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-20, February.
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  28. Alan L. Porter & Ismael Rafols, 2009. "Is science becoming more interdisciplinary? Measuring and mapping six research fields over time," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 719-745, December.

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    2. Stephen Carley & Alan L. Porter, 2012. "A forward diversity index," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 407-427, February.
    3. Abdulkader A. Murad & Dimitar T. Tomov, 2012. "Institutionalization and internationalization of research on the applications of the geographical information systems in health planning," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 143-158, April.
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    119. Rafael Santos Tavares & Lidia Angulo-Meza & Luís Alberto Duncan Rangel & Annibal Parracho Sant’Anna, 2022. "Interdisciplinary graduate programs: application of the MACBETH multicriteria method for assessing their performances," Annals of Operations Research, Springer, vol. 316(2), pages 1383-1399, September.
    120. Shengli Deng & Sudi Xia, 2020. "Mapping the interdisciplinarity in information behavior research: a quantitative study using diversity measure and co-occurrence analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 489-513, July.
    121. Chris Fields, 2015. "Close to the edge: co-authorship proximity of Nobel laureates in Physiology or Medicine, 1991–2010, to cross-disciplinary brokers," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 267-299, April.
    122. Jon Garner & Alan L. Porter & Nils C. Newman, 2014. "Distance and velocity measures: using citations to determine breadth and speed of research impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(3), pages 687-703, September.
    123. Hongyu Zhou & Raf Guns & Tim C. E. Engels, 2022. "Are social sciences becoming more interdisciplinary? Evidence from publications 1960–2014," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(9), pages 1201-1221, September.
    124. Zehra Taşkın & Arsev U. Aydinoglu, 2015. "Collaborative interdisciplinary astrobiology research: a bibliometric study of the NASA Astrobiology Institute," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 1003-1022, June.
    125. Lawson, Cornelia & Soós,Sándor, 2014. "A Thematic Mobility Measure for Econometric Analysis," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201402, University of Turin.
    126. Xuefeng Wang & Zhinan Wang & Ying Huang & Yun Chen & Yi Zhang & Huichao Ren & Rongrong Li & Jinhui Pang, 2017. "Measuring interdisciplinarity of a research system: detecting distinction between publication categories and citation categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 2023-2039, June.
    127. Chan-Yuan Wong & Hon-Ngen Fung, 2017. "Science-technology-industry correlative indicators for policy targeting on emerging technologies: exploring the core competencies and promising industries of aspirant economies," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 841-867, May.
    128. Lin Zhang & Beibei Sun & Fei Shu & Ying Huang, 2022. "Comparing paper level classifications across different methods and systems: an investigation of Nature publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7633-7651, December.
    129. Alan L. Porter & David J. Schoeneck & Jan Youtie & Gregg E. A. Solomon & Seokbeom Kwon & Stephen F. Carley, 2019. "Learning about learning: patterns of sharing of research knowledge among Education, Border, and Cognitive Science fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1093-1117, March.
    130. Chris Fields, 2015. "How small is the center of science? Short cross-disciplinary cycles in co-authorship graphs," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1287-1306, February.
    131. Chen, Shiji & Qiu, Junping & Arsenault, Clément & Larivière, Vincent, 2021. "Exploring the interdisciplinarity patterns of highly cited papers," Journal of Informetrics, Elsevier, vol. 15(1).
    132. Lauto, Giancarlo & Valentin, Finn, 2016. "The knowledge production model of the New Sciences: The case of Translational Medicine," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 12-21.
    133. Hugo Confraria & Fernando Vargas, 2019. "Scientific systems in Latin America: performance, networks, and collaborations with industry," The Journal of Technology Transfer, Springer, vol. 44(3), pages 874-915, June.
    134. Hanning Guo & Scott Weingart & Katy Börner, 2011. "Mixed-indicators model for identifying emerging research areas," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 421-435, October.
    135. Alexis-Michel Mugabushaka & Anthi Kyriakou & Theo Papazoglou, 2016. "Bibliometric indicators of interdisciplinarity: the potential of the Leinster–Cobbold diversity indices to study disciplinary diversity," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 593-607, May.
    136. Martin Guhn & Bruno Zumbo & Magdalena Janus & Clyde Hertzman, 2011. "Opening Remarks to the Special Issue on Validation Theory and Research for a Population-Level Measure of Children’s Development, Wellbeing, and School Readiness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 103(2), pages 179-181, September.
    137. Leydesdorff, Loet & Rafols, Ismael, 2011. "Indicators of the interdisciplinarity of journals: Diversity, centrality, and citations," Journal of Informetrics, Elsevier, vol. 5(1), pages 87-100.
    138. Hiroko Nakamura & Shinji Suzuki & Tomobe Hironori & Yuya Kajikawa & Ichiro Sakata, 2011. "Citation lag analysis in supply chain research," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(2), pages 221-232, May.
    139. Yulin Yu & Daniel M. Romero, 2024. "Does the Use of Unusual Combinations of Datasets Contribute to Greater Scientific Impact?," Papers 2402.05024, arXiv.org, revised Feb 2024.
    140. Roland Barthel & Roman Seidl, 2017. "Interdisciplinary Collaboration between Natural and Social Sciences – Status and Trends Exemplified in Groundwater Research," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-27, January.
    141. Qing Ke, 2023. "Interdisciplinary research and technological impact: evidence from biomedicine," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2035-2077, April.
    142. Werner Marx & Lutz Bornmann, 2016. "Change of perspective: bibliometrics from the point of view of cited references—a literature overview on approaches to the evaluation of cited references in bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1397-1415, November.
    143. Katalin Orosz & Illés J. Farkas & Péter Pollner, 2016. "Quantifying the changing role of past publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 829-853, August.
    144. Wenjing Zhu & Bohong Ma & Lele Kang, 2022. "Technology convergence among various technical fields: improvement of entropy estimation in patent analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7731-7750, December.
    145. Yu-Wei Chang, 2018. "Examining interdisciplinarity of library and information science (LIS) based on LIS articles contributed by non-LIS authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1589-1613, September.
    146. Sondra N. Barringer & Erin Leahey & Karina Salazar, 2020. "What Catalyzes Research Universities to Commit to Interdisciplinary Research?," Research in Higher Education, Springer;Association for Institutional Research, vol. 61(6), pages 679-705, September.
    147. Jielan Ding & Per Ahlgren & Liying Yang & Ting Yue, 2018. "Disciplinary structures in Nature, Science and PNAS: journal and country levels," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1817-1852, September.
    148. J. A. García & Rosa Rodriguez-Sánchez & J. Fdez-Valdivia & Daniel Torres-Salinas & Francisco Herrera, 2012. "Ranking of research output of universities on the basis of the multidimensional prestige of influential fields: Spanish universities as a case of study," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 1081-1099, December.
    149. Michael Gowanlock & Rich Gazan, 2013. "Assessing researcher interdisciplinarity: a case study of the University of Hawaii NASA Astrobiology Institute," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 133-161, January.
    150. Hoang-Son Pham & Bram Vancraeynest & Hanne Poelmans & Sadia Vancauwenbergh & Amr Ali-Eldin, 2023. "Identifying interdisciplinary research in research projects," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5521-5544, October.
    151. Hiran H. Lathabai & Thara Prabhakaran & Manoj Changat, 2017. "Contextual productivity assessment of authors and journals: a network scientometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 711-737, February.
    152. Giovanni Abramo & Ciriaco Andrea D’Angelo & Flavia Costa, 2017. "Specialization versus diversification in research activities: the extent, intensity and relatedness of field diversification by individual scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1403-1418, September.
    153. Nomaler, Önder & Frenken, Koen & Heimeriks, Gaston, 2013. "Do more distant collaborations have more citation impact?," Journal of Informetrics, Elsevier, vol. 7(4), pages 966-971.
    154. Jae Young Choi & Seongkyoon Jeong & Kyunam Kim, 2015. "A Study on Diffusion Pattern of Technology Convergence: Patent Analysis for Korea," Sustainability, MDPI, vol. 7(9), pages 1-24, August.
    155. Nuša Erman & Ljupčo Todorovski, 2015. "The effects of measurement error in case of scientific network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(2), pages 453-473, August.
    156. Koppman, Sharon & Leahey, Erin, 2019. "Who moves to the methodological edge? Factors that encourage scientists to use unconventional methods," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    157. Andrea Bonaccorsi & Nicola Melluso & Francesco Alessandro Massucci, 2022. "Exploring the antecedents of interdisciplinarity at the European Research Council: a topic modeling approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 6961-6991, December.
    158. Joshua Eykens & Raf Guns & Raf Vanderstraeten, 2022. "Subject specialties as interdisciplinary trading grounds: the case of the social sciences and humanities," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7193-7213, December.
    159. Yi Bu & Mengyang Li & Weiye Gu & Win‐bin Huang, 2021. "Topic diversity: A discipline scheme‐free diversity measurement for journals," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(5), pages 523-539, May.
    160. Lina Xu & Steven Dellaportas & Jin Wang, 2022. "A study of interdisciplinary accounting research: analysing the diversity of cited references," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(2), pages 2131-2162, June.
    161. Magda Fontana & Martina Iori & Fabio Montobbio & Roberta Sinatra, 2018. "A bridge over troubled water: Interdisciplinarity, Novelty, and Impact," DISCE - Quaderni del Dipartimento di Politica Economica dipe0002, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    162. Daniele Rotolo & Ismael Rafols & Michael Hopkins & Loet Leydesdorff, 2014. "Scientometric Mapping as a Strategic Intelligence Tool for the Governance of Emerging Technologies," SPRU Working Paper Series 2014-10, SPRU - Science Policy Research Unit, University of Sussex Business School.
    163. M. Meyer & K. Debackere & W. Glänzel, 2010. "Can applied science be ‘good science’? Exploring the relationship between patent citations and citation impact in nanoscience," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(2), pages 527-539, November.
    164. Haiyun Xu & Ting Guo & Zenghui Yue & Lijie Ru & Shu Fang, 2016. "Interdisciplinary topics of information science: a study based on the terms interdisciplinarity index series," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 583-601, February.
    165. Lili Wang & Ad Notten & Alexandru Surpatean, 2013. "Interdisciplinarity of nano research fields: a keyword mining approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 877-892, March.
    166. Shiji Chen & Yanhui Song & Fei Shu & Vincent Larivière, 2022. "Interdisciplinarity and impact: the effects of the citation time window," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2621-2642, May.
    167. Pim Vugteveen & Rob Lenders & Peter Van den Besselaar, 2014. "The dynamics of interdisciplinary research fields: the case of river research," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 73-96, July.
    168. Wooseok Jang & Heeyeul Kwon & Yongtae Park & Hakyeon Lee, 2018. "Predicting the degree of interdisciplinarity in academic fields: the case of nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 231-254, July.
    169. Andrea Zielinski, 2022. "Impact of model settings on the text-based Rao diversity index," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7751-7768, December.

  29. Ismael Rafols & Loet Leydesdorff, 2009. "Content‐based and algorithmic classifications of journals: Perspectives on the dynamics of scientific communication and indexer effects," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(9), pages 1823-1835, September.

    Cited by:

    1. Stephen Carley & Alan L. Porter, 2012. "A forward diversity index," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 407-427, February.
    2. Diego Chavarro & Puay Tang & Ismael Rafols, 2014. "Interdisciplinarity and research on local issues: evidence from a developing country," Research Evaluation, Oxford University Press, vol. 23(3), pages 195-209.
    3. Dorta-González, Pablo & Dorta-González, María Isabel & Santos-Peñate, Dolores Rosa & Suárez-Vega, Rafael, 2014. "Journal topic citation potential and between-field comparisons: The topic normalized impact factor," Journal of Informetrics, Elsevier, vol. 8(2), pages 406-418.
    4. Wallace, Matthew L. & Ràfols, Ismael, 2018. "Institutional shaping of research priorities: A case study on avian influenza," Research Policy, Elsevier, vol. 47(10), pages 1975-1989.
    5. Haunschild, Robin & Schier, Hermann & Marx, Werner & Bornmann, Lutz, 2018. "Algorithmically generated subject categories based on citation relations: An empirical micro study using papers on overall water splitting," Journal of Informetrics, Elsevier, vol. 12(2), pages 436-447.
    6. Ismael Rafols & Martin Meyer, 2008. "Diversity and network coherence as indicators of interdisciplinarity: Case studies in bionanoscience," SPRU Working Paper Series 167, SPRU - Science Policy Research Unit, University of Sussex Business School.
    7. Loet Leydesdorff, 2011. "“Structuration” by intellectual organization: the configuration of knowledge in relations among structural components in networks of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 499-520, August.
    8. Pablo Dorta-González & María Isabel Dorta-González & Rafael Suárez-Vega, 2015. "An approach to the author citation potential: measures of scientific performance which are invariant across scientific fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1467-1496, February.
    9. Roberto Camerani & Daniele Rotolo & Nicola Grassano, 2018. "Do Firms Publish? A Multi-Sectoral Analysis," SPRU Working Paper Series 2018-21, SPRU - Science Policy Research Unit, University of Sussex Business School.
    10. Loet Leydesdorff & Lutz Bornmann, 2012. "Mapping (USPTO) patent data using overlays to Google Maps," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(7), pages 1442-1458, July.
    11. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
    12. Sergey Shashnov & Maxim Kotsemir, 2018. "Research landscape of the BRICS countries: current trends in research output, thematic structures of publications, and the relative influence of partners," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1115-1155, November.
    13. Juan Miguel Campanario, 2018. "Are leaders really leading? Journals that are first in Web of Science subject categories in the context of their groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 111-130, April.
    14. Lutz Bornmann & Loet Leydesdorff, 2011. "Which cities produce more excellent papers than can be expected? A new mapping approach, using Google Maps, based on statistical significance testing," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(10), pages 1954-1962, October.
    15. María del Carmen Calatrava Moreno & Thomas Auzinger & Hannes Werthner, 2016. "On the uncertainty of interdisciplinarity measurements due to incomplete bibliographic data," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 213-232, April.
    16. Shu, Fei & Julien, Charles-Antoine & Zhang, Lin & Qiu, Junping & Zhang, Jing & Larivière, Vincent, 2019. "Comparing journal and paper level classifications of science," Journal of Informetrics, Elsevier, vol. 13(1), pages 202-225.
    17. Ismael Rafols & Alan Porter & Loet Leydesdorff, 2009. "Overlay Maps of Science: a New Tool for Research Policy," SPRU Working Paper Series 179, SPRU - Science Policy Research Unit, University of Sussex Business School.
    18. T. S. Evans & N. Hopkins & B. S. Kaube, 2012. "Universality of performance indicators based on citation and reference counts," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 473-495, November.
    19. Wei Du & Raymond Yiu Keung Lau & Jian Ma & Wei Xu, 2015. "A multi-faceted method for science classification schemes (SCSs) mapping in networking scientific resources," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2035-2056, December.
    20. Ashraf Uddin & Jaideep Bhoosreddy & Marisha Tiwari & Vivek Kumar Singh, 2016. "A Sciento-text framework to characterize research strength of institutions at fine-grained thematic area level," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1135-1150, March.
    21. Zhou, Ping & Leydesdorff, Loet, 2011. "Fractional counting of citations in research evaluation: A cross- and interdisciplinary assessment of the Tsinghua University in Beijing," Journal of Informetrics, Elsevier, vol. 5(3), pages 360-368.
    22. Yan, Erjia & Ding, Ying & Cronin, Blaise & Leydesdorff, Loet, 2013. "A bird's-eye view of scientific trading: Dependency relations among fields of science," Journal of Informetrics, Elsevier, vol. 7(2), pages 249-264.
    23. Yan, Erjia, 2014. "Research dynamics: Measuring the continuity and popularity of research topics," Journal of Informetrics, Elsevier, vol. 8(1), pages 98-110.
    24. Wang, Qi & Waltman, Ludo, 2016. "Large-scale analysis of the accuracy of the journal classification systems of Web of Science and Scopus," Journal of Informetrics, Elsevier, vol. 10(2), pages 347-364.
    25. Loet Leydesdorff & Caroline S. Wagner & Lutz Bornmann, 2018. "Betweenness and diversity in journal citation networks as measures of interdisciplinarity—A tribute to Eugene Garfield," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 567-592, February.
    26. Ludo Waltman & Nees Jan Eck, 2012. "A new methodology for constructing a publication-level classification system of science," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(12), pages 2378-2392, December.
    27. Loet Leydesdorff, 2012. "Alternatives to the journal impact factor: I3 and the top-10% (or top-25%?) of the most-highly cited papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 355-365, August.
    28. Wagner, Caroline S. & Roessner, J. David & Bobb, Kamau & Klein, Julie Thompson & Boyack, Kevin W. & Keyton, Joann & Rafols, Ismael & Börner, Katy, 2011. "Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature," Journal of Informetrics, Elsevier, vol. 5(1), pages 14-26.
    29. Loet Leydesdorff, 2013. "An evaluation of impacts in “Nanoscience & nanotechnology”: steps towards standards for citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 35-55, January.
    30. Loet Leydesdorff & Stephen Carley & Ismael Rafols, 2013. "Global maps of science based on the new Web-of-Science categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 589-593, February.
    31. Leydesdorff, Loet & Rafols, Ismael, 2012. "Interactive overlays: A new method for generating global journal maps from Web-of-Science data," Journal of Informetrics, Elsevier, vol. 6(2), pages 318-332.
    32. Loet Leydesdorff & Ping Zhou & Lutz Bornmann, 2013. "How can journal impact factors be normalized across fields of science? An assessment in terms of percentile ranks and fractional counts," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(1), pages 96-107, January.
    33. P. Dorta-González & M. I. Dorta-González, 2013. "Comparing journals from different fields of science and social science through a JCR subject categories normalized impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 645-672, May.
    34. Cecere, Grazia & Martinelli, Arianna, 2017. "Drivers of knowledge accumulation in electronic waste management: An analysis of publication data," Research Policy, Elsevier, vol. 46(5), pages 925-938.
    35. Loet Leydesdorff & Paul Wouters & Lutz Bornmann, 2016. "Professional and citizen bibliometrics: complementarities and ambivalences in the development and use of indicators—a state-of-the-art report," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2129-2150, December.
    36. Cassidy R. Sugimoto, 2011. "Looking across communicative genres: a call for inclusive indicators of interdisciplinarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 449-461, February.
    37. Opthof, Tobias & Leydesdorff, Loet, 2010. "Caveats for the journal and field normalizations in the CWTS (“Leiden”) evaluations of research performance," Journal of Informetrics, Elsevier, vol. 4(3), pages 423-430.
    38. Xie, Yundong & Wu, Qiang & Zhang, Peng & Li, Xingchen, 2020. "Information Science and Library Science (IS-LS) journal subject categorisation and comparison based on editorship information," Journal of Informetrics, Elsevier, vol. 14(4).
    39. Eungi Kim & Da-Yeong Jeong, 2023. "Dominant Characteristics of Subject Categories in a Multiple-Category Hierarchical Scheme: A Case Study of Scopus," Publications, MDPI, vol. 11(4), pages 1-13, December.
    40. Jon Garner & Alan L. Porter & Nils C. Newman, 2014. "Distance and velocity measures: using citations to determine breadth and speed of research impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(3), pages 687-703, September.
    41. Caroline S. Wagner & Lin Zhang & Loet Leydesdorff, 2022. "A discussion of measuring the top-1% most-highly cited publications: quality and impact of Chinese papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1825-1839, April.
    42. Lin Zhang & Beibei Sun & Fei Shu & Ying Huang, 2022. "Comparing paper level classifications across different methods and systems: an investigation of Nature publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7633-7651, December.
    43. Thelwall, Mike & Sud, Pardeep, 2016. "National, disciplinary and temporal variations in the extent to which articles with more authors have more impact: Evidence from a geometric field normalised citation indicator," Journal of Informetrics, Elsevier, vol. 10(1), pages 48-61.
    44. Leydesdorff, Loet & Bornmann, Lutz & Zhou, Ping, 2016. "Construction of a pragmatic base line for journal classifications and maps based on aggregated journal-journal citation relations," Journal of Informetrics, Elsevier, vol. 10(4), pages 902-918.
    45. Loet Leydesdorff & Lutz Bornmann & Caroline S. Wagner, 2017. "Generating clustered journal maps: an automated system for hierarchical classification," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1601-1614, March.
    46. Leydesdorff, Loet & Rafols, Ismael, 2011. "Indicators of the interdisciplinarity of journals: Diversity, centrality, and citations," Journal of Informetrics, Elsevier, vol. 5(1), pages 87-100.
    47. Erjia Yan, 2014. "Topic-based Pagerank: toward a topic-level scientific evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 407-437, August.
    48. Dorta-González, P. & Dorta-González, M.I., 2013. "Impact maturity times and citation time windows: The 2-year maximum journal impact factor," Journal of Informetrics, Elsevier, vol. 7(3), pages 593-602.
    49. Loet Leydesdorff & Tobias Opthof, 2012. "A rejoinder on energy versus impact indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 745-748, February.
    50. Goldman, Alyssa W., 2014. "Conceptualizing the interdisciplinary diffusion and evolution of emerging fields: The case of systems biology," Journal of Informetrics, Elsevier, vol. 8(1), pages 43-58.
    51. Peter A. Schulz & Edmilson J. T. Manganote, 2012. "Revisiting country research profiles: learning about the scientific cultures," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 517-531, November.
    52. Elías Sanz-Casado & Daniela Filippo & Rafael Aleixandre Benavent & Vidar Røeggen & Janne Pölönen, 2021. "Impact and visibility of Norwegian, Finnish and Spanish journals in the fields of humanities," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 9031-9049, November.
    53. Kiss, Istvan Z. & Broom, Mark & Craze, Paul G. & Rafols, Ismael, 2010. "Can epidemic models describe the diffusion of topics across disciplines?," Journal of Informetrics, Elsevier, vol. 4(1), pages 74-82.
    54. Gómez-Núñez, Antonio J. & Batagelj, Vladimir & Vargas-Quesada, Benjamín & Moya-Anegón, Félix & Chinchilla-Rodríguez, Zaida, 2014. "Optimizing SCImago Journal & Country Rank classification by community detection," Journal of Informetrics, Elsevier, vol. 8(2), pages 369-383.
    55. Wolfram, Dietmar & Zhao, Yuehua, 2014. "A comparison of journal similarity across six disciplines using citing discipline analysis," Journal of Informetrics, Elsevier, vol. 8(4), pages 840-853.
    56. Fan, Yangliu & Lehmann, Sune & Blok, Anders, 2022. "Extracting the interdisciplinary specialty structures in social media data-based research: A clustering-based network approach," Journal of Informetrics, Elsevier, vol. 16(3).

  30. Ismael Rafols & Martin Meyer, 2007. "How cross-disciplinary is bionanotechnology? Explorations in the specialty of molecular motors," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(3), pages 633-650, March.

    Cited by:

    1. Ellen Siu, 2018. "Interorganisational collaboration in Academic Health Science Centre: A case study on King’s Health Partnership," Working Papers 40, Birkbeck Centre for Innovation Management Research, revised Feb 2021.
    2. Can Huang & Ad Notten & Nico Rasters, 2011. "Nanoscience and technology publications and patents: a review of social science studies and search strategies," The Journal of Technology Transfer, Springer, vol. 36(2), pages 145-172, April.
    3. Shiji Chen & Clément Arsenault & Yves Gingras & Vincent Larivière, 2015. "Exploring the interdisciplinary evolution of a discipline: the case of Biochemistry and Molecular Biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1307-1323, February.
    4. Wang, Lili & Notten, Ad, 2011. "Mapping the interdisciplinary nature and co-evolutionary patterns in five nano-industrial sectors," MERIT Working Papers 2011-029, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
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  31. Matsushita, M. & Wakita, J. & Itoh, H. & Ràfols, I. & Matsuyama, T. & Sakaguchi, H. & Mimura, M., 1998. "Interface growth and pattern formation in bacterial colonies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 249(1), pages 517-524.

    Cited by:

    1. Golding, Ido & Kozlovsky, Yonathan & Cohen, Inon & Ben-Jacob, Eshel, 1998. "Studies of bacterial branching growth using reaction–diffusion models for colonial development," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 260(3), pages 510-554.
    2. Ben-Jacob, Eshel & Cohen, Inon & Golding, Ido & Gutnick, David L. & Tcherpakov, Marianna & Helbing, Dirk & Ron, Ilan G., 2000. "Bacterial cooperative organization under antibiotic stress," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 282(1), pages 247-282.
    3. Mansour, M.B.A., 2007. "Traveling wave solutions of a reaction–diffusion model for bacterial growth," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 383(2), pages 466-472.
    4. Badoual, M. & Derbez, P. & Aubert, M. & Grammaticos, B., 2009. "Simulating the migration and growth patterns of Bacillus subtilis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(4), pages 549-559.
    5. Muzzio, Nicolás E. & Horowitz, Claudio M. & Azzaroni, Omar & Moya, Sergio E. & Pasquale, Miguel A., 2021. "Tilted mammalian cell colony propagation dynamics on patterned substrates," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).

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