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Daniele Rotolo

Personal Details

First Name:Daniele
Middle Name:
Last Name:Rotolo
Suffix:
RePEc Short-ID:pro464
http://www.sussex.ac.uk/spru/people/peoplelists/person/284947

Affiliation

Science and Technology Policy Research (SPRU)
School of Business, Management and Economics
University of Sussex

Brighton, United Kingdom
http://www.sussex.ac.uk/spru/

: +44 (0)1273 686758
+44 (0)1273 685865
Jubilee Building G08, Falmer, Brighton, BN1 9SL
RePEc:edi:spessuk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Editorship

Working papers

  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 and Technology Policy Research, University of Sussex.
  2. Nicola Grassano & Daniele Rotolo & Joshua Hutton & Frederique Lang & Michael M. Hopkins, 2016. "Funding Data from Publication Acknowledgements: Coverage, Uses and Limitations," SPRU Working Paper Series 2016-08, SPRU - Science and Technology Policy Research, University of Sussex.
  3. Daniele Rotolo & Diana Hicks & Ben Martin, 2015. "What is an emerging technology?," SPRU Working Paper Series 2015-06, SPRU - Science and Technology Policy Research, University of Sussex.
  4. 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 and Technology Policy Research, University of Sussex.
  5. 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 and Technology Policy Research, University of Sussex.
  6. Antonio Messeni Petruzzelli & Daniele Rotolo & Vito Albino, 2014. "Determinants of Patent Citations in Biotechnology: An Analysis of Patent Influence Across the Industrial and Organizational Boundaries," SPRU Working Paper Series 2014-05, SPRU - Science and Technology Policy Research, University of Sussex.
  7. 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 and Technology Policy Research, University of Sussex.
  8. Rotolo, Daniele & Messeni Petruzzelli, Antonio, 2013. "When does centrality matter? Scientific productivity and the moderating role of research specialization and cross-community ties," MPRA Paper 53406, University Library of Munich, Germany.

Articles

  1. 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.
  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. Loet Leydesdorff & Gaston Heimeriks & Daniele Rotolo, 2016. "Journal portfolio analysis for countries, cities, and organizations: Maps and comparisons," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(3), pages 741-748, March.
  4. Petersen, Alexander M. & Rotolo, Daniele & Leydesdorff, Loet, 2016. "A triple helix model of medical innovation: Supply, demand, and technological capabilities in terms of Medical Subject Headings," Research Policy, Elsevier, vol. 45(3), pages 666-681.
  5. Daniele Rotolo & Loet Leydesdorff, 2015. "Matching Medline/PubMed data with Web of Science: A routine in R language," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(10), pages 2155-2159, October.
  6. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
  7. 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.
  8. Vito Albino & Antonio Messeni Petruzzelli & Daniele Rotolo, 2010. "Exploring and exploiting through external sources: the effect of learning and technological proximity," International Journal of Innovation and Learning, Inderscience Enterprises Ltd, vol. 8(1), pages 11-27.

Editorship

  1. SPRU Working Paper Series, SPRU - Science and Technology Policy Research, University of Sussex.

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.

Working papers

  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 and Technology Policy Research, University of Sussex.

    Cited by:

    1. Ben R. Martin, 2016. "What's Happening to Our Universities?," Working Papers wp477, Centre for Business Research, University of Cambridge.
    2. 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 and Technology Policy Research, University of Sussex.
    3. 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.
    4. Inga Ivanova & Oivind Strand & Duncan Kushnir & Loet Leydesdorff, 2016. "Economic and Technological Complexity: A Model Study of Indicators of Knowledge-based Innovation Systems," Papers 1602.02348, arXiv.org, revised Dec 2016.
    5. Jordan A. Comins & Loet Leydesdorff, 2017. "Citation algorithms for identifying research milestones driving biomedical innovation," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1495-1504, March.
    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 and Technology Policy Research, University of Sussex.
    7. Kevin W. Boyack, 2017. "Thesaurus-based methods for mapping contents of publication sets," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1141-1155, May.
    8. 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.
    9. Francois Lafond & Daniel Kim, 2017. "Long-run dynamics of the U.S. patent classification system," Papers 1703.02104, arXiv.org.

  2. Nicola Grassano & Daniele Rotolo & Joshua Hutton & Frederique Lang & Michael M. Hopkins, 2016. "Funding Data from Publication Acknowledgements: Coverage, Uses and Limitations," SPRU Working Paper Series 2016-08, SPRU - Science and Technology Policy Research, University of Sussex.

    Cited by:

    1. Oriana Rainho Brás & Jean-Philippe Cointet & Alberto Cambrosio & Leonor David & João Arriscado Nunes & Fátima Cardoso & Carmen Jerónimo, 2017. "Oncology research in late twentieth century and turn of the century Portugal: a scientometric approach to its institutional and semantic dimensions," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 867-888, November.
    2. Mari Martiskainen, 2016. "The role of community leadership in the development of grassroots innovations," SPRU Working Paper Series 2016-10, SPRU - Science and Technology Policy Research, University of Sussex.
    3. Laur Kanger & Johan Schot, 2016. "User-made Immobilities: A Transitions Perspective," SPRU Working Paper Series 2016-13, SPRU - Science and Technology Policy Research, University of Sussex.
    4. Johan Schot & Laur Kanger, 2016. "Deep Transitions: Emergence, Acceleration, Stabilization and Directionality," SPRU Working Paper Series 2016-15, SPRU - Science and Technology Policy Research, University of Sussex.
    5. Belén Álvarez-Bornstein & Fernanda Morillo & María Bordons, 2017. "Funding acknowledgments in the Web of Science: completeness and accuracy of collected data," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1793-1812, September.
    6. Jon Schmid & Sergey A Kolesnikov & Jan Youtie, 2018. "Plans versus experiences in transitioning transnational education into research and economic development: a case study," Science and Public Policy, Oxford University Press, vol. 45(1), pages 103-116.

  3. Daniele Rotolo & Diana Hicks & Ben Martin, 2015. "What is an emerging technology?," SPRU Working Paper Series 2015-06, SPRU - Science and Technology Policy Research, University of Sussex.

    Cited by:

    1. Cassetta, Ernesto & Marra, Alessandro & Pozzi, Cesare & Antonelli, Paola, 2017. "Emerging technological trajectories and new mobility solutions. A large-scale investigation on transport-related innovative start-ups and implications for policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 1-11.
    2. 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.
    3. Konstantin Fursov & Alina Kadyrova, 2017. "How the analysis of transitionary references in knowledge networks and their centrality characteristics helps in understanding the genesis of growing technology areas," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1947-1963, June.
    4. Munan Li & Alan L. Porter, 2018. "Facilitating the discovery of relevant studies on risk analysis for three-dimensional printing based on an integrated framework," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 277-300, January.
    5. Stephen F. Carley & Nils C. Newman & Alan L. Porter & Jon G. Garner, 2017. "A measure of staying power: Is the persistence of emergent concepts more significantly influenced by technical domain or scale?," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 2077-2087, June.
    6. Lee, Changyong & Kwon, Ohjin & Kim, Myeongjung & Kwon, Daeil, 2018. "Early identification of emerging technologies: A machine learning approach using multiple patent indicators," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 291-303.
    7. 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 and Technology Policy Research, University of Sussex.
    8. 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 and Technology Policy Research, University of Sussex.
    9. Lee Stapleton & Steve Sorrell & Tim Schwanen, 2015. "Estimating Direct Rebound Effects for Personal Automotive Travel in Great Britain," SPRU Working Paper Series 2015-08, SPRU - Science and Technology Policy Research, University of Sussex.
    10. Mafini Dosso & Antonio Vezzani, 2015. "Top R&D investors and international knowledge seeking: the role of emerging technologies and technological proximity," JRC Working Papers on Corporate R&D and Innovation 2015-09, Joint Research Centre (Seville site).
    11. 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.
    12. Philip Shapira & Seokbeom Kwon & Jan Youtie, 2017. "Tracking the emergence of synthetic biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1439-1469, September.
    13. Chao Yang & Donghua Zhu & Xuefeng Wang & Yi Zhang & Guangquan Zhang & Jie Lu, 2017. "Requirement-oriented core technological components’ identification based on SAO analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1229-1248, September.
    14. 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.
    15. Johan Schot & Laur Kanger, 2016. "Deep Transitions: Emergence, Acceleration, Stabilization and Directionality," SPRU Working Paper Series 2016-15, SPRU - Science and Technology Policy Research, University of Sussex.
    16. 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 and Technology Policy Research, University of Sussex.
    17. Massimo FLORIO & Andrea BASTIANIN & Paolo CASTELNOVO, 2017. "The Socio–Economic Impact of a Breakthrough in the Particle Accelerators’ Technology: A Research Agenda," Departmental Working Papers 2017-18, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    18. Song, Kisik & Kim, Kyuwoong & Lee, Sungjoo, 2018. "Identifying promising technologies using patents: A retrospective feature analysis and a prospective needs analysis on outlier patents," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 118-132.
    19. 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 and Technology Policy Research, University of Sussex.
    20. Rinaldo Evangelista & Valentina Meliciani & Antonio Vezzani, 2015. "The Specialisation of EU Regions in Fast Growing and Key Enabling Technologies," JRC Working Papers JRC98111, Joint Research Centre (Seville site).
    21. Kyebambe, Moses Ntanda & Cheng, Ge & Huang, Yunqing & He, Chunhui & Zhang, Zhenyu, 2017. "Forecasting emerging technologies: A supervised learning approach through patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 236-244.
    22. Petros Gkotsis & Antonio Vezzani, 2016. "Technological diffusion as a recombinant process," JRC Working Papers on Corporate R&D and Innovation 2016-07, Joint Research Centre (Seville site).
    23. Joung, Junegak & Kim, Kwangsoo, 2017. "Monitoring emerging technologies for technology planning using technical keyword based analysis from patent data," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 281-292.
    24. Woodson, Thomas S., 2016. "Public private partnerships and emerging technologies: A look at nanomedicine for diseases of poverty," Research Policy, Elsevier, vol. 45(7), pages 1410-1418.
    25. Archibugi, Daniele, 2017. "Blade Runner economics: Will innovation lead the economic recovery?," Research Policy, Elsevier, vol. 46(3), pages 535-543.

  4. 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 and Technology Policy Research, University of Sussex.

    Cited by:

    1. 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.
    2. Javier Lopez Gonzalez & Valentina Meliciani & Maria Savona, 2015. "When Linder Meets Hirschman: Inter-Industry Linkages and Global Value Chains in Business Services," SPRU Working Paper Series 2015-20, SPRU - Science and Technology Policy Research, University of Sussex.
    3. 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 and Technology Policy Research, University of Sussex.
    4. 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.
    5. 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 and Technology Policy Research, University of Sussex.
    6. 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 and Technology Policy Research, University of Sussex.
    7. 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.
    8. 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.
    9. 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, Open Access Journal, vol. 8(10), pages 1-17, October.

  5. Antonio Messeni Petruzzelli & Daniele Rotolo & Vito Albino, 2014. "Determinants of Patent Citations in Biotechnology: An Analysis of Patent Influence Across the Industrial and Organizational Boundaries," SPRU Working Paper Series 2014-05, SPRU - Science and Technology Policy Research, University of Sussex.

    Cited by:

    1. Zafer Sonmez, 2017. "Inventor mobility and the geography of knowledge flows: evidence from the US biopharmaceutical industry," Science and Public Policy, Oxford University Press, vol. 44(5), pages 670-682.
    2. Kathryn Rudie Harrigan & Maria Chiara Guardo & Bo Cowgill, 2017. "Multiplicative-innovation synergies: tests in technological acquisitions," The Journal of Technology Transfer, Springer, vol. 42(5), pages 1212-1233, October.
    3. Kathryn Rudie Harrigan & Maria Chiara DiGuardo, 2017. "Sustainability of patent-based competitive advantage in the U.S. communications services industry," The Journal of Technology Transfer, Springer, vol. 42(6), pages 1334-1361, December.
    4. Laurie Ciaramella & Catalina Martínez & Yann Ménière, 2017. "Tracking patent transfers in different European countries: methods and a first application to medical technologies," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(2), pages 817-850, August.
    5. Hidemichi Fujii & Kentaro Yoshida & Ken Sugimura, 2016. "Research and Development Strategy in Biological Technologies: A Patent Data Analysis of Japanese Manufacturing Firms," Sustainability, MDPI, Open Access Journal, vol. 8(4), pages 1-15, April.
    6. Albino, Vito & Ardito, Lorenzo & Dangelico, Rosa Maria & Messeni Petruzzelli, Antonio, 2014. "Understanding the development trends of low-carbon energy technologies: A patent analysis," Applied Energy, Elsevier, vol. 135(C), pages 836-854.
    7. Jungpyo Lee & So Young Sohn, 2017. "What makes the first forward citation of a patent occur earlier?," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 279-298, October.

  6. 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 and Technology Policy Research, University of Sussex.

    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 and Technology Policy Research, University of Sussex.
    2. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
    3. 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.

  7. Rotolo, Daniele & Messeni Petruzzelli, Antonio, 2013. "When does centrality matter? Scientific productivity and the moderating role of research specialization and cross-community ties," MPRA Paper 53406, University Library of Munich, Germany.

    Cited by:

    1. Ben Zhang & Xiaohong Wang, 2017. "Empirical study on influence of university-industry collaboration on research performance and moderating effect of social capital: evidence from engineering academics in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 257-277, October.
    2. Esther Hormiga & Petra Saá-Pérez & Nieves L. Díaz-Díaz & José Luis Ballesteros-Rodríguez & Inmaculada Aguiar-Diaz, 2017. "The influence of entrepreneurial orientation on the performance of academic research groups: the mediating role of knowledge sharing," The Journal of Technology Transfer, Springer, vol. 42(1), pages 10-32, February.
    3. Claudia N. Gonzalez-Brambila, 2014. "Social capital in academia," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1609-1625, December.
    4. Llopis,Oscar & D’Este,Pablo, 2014. "Connections Matter: How Personal Network Structure Influences Biomedical Scientists’ Engagement in Medical Innovation," INGENIO (CSIC-UPV) Working Paper Series 201402, INGENIO (CSIC-UPV), revised 07 Mar 2014.
    5. Jiancheng Guan & He Wei, 2015. "A bilateral comparison of research performance at an institutional level," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 147-173, July.
    6. Kamal Badar & Julie M. Hite & Naeem Ashraf, 2015. "Knowledge network centrality, formal rank and research performance: evidence for curvilinear and interaction effects," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1553-1576, December.

Articles

  1. 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.
    See citations under working paper version above.
  2. Loet Leydesdorff & Gaston Heimeriks & Daniele Rotolo, 2016. "Journal portfolio analysis for countries, cities, and organizations: Maps and comparisons," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(3), pages 741-748, March.
    See citations under working paper version above.
  3. Petersen, Alexander M. & Rotolo, Daniele & Leydesdorff, Loet, 2016. "A triple helix model of medical innovation: Supply, demand, and technological capabilities in terms of Medical Subject Headings," Research Policy, Elsevier, vol. 45(3), pages 666-681.
    See citations under working paper version above.
  4. Daniele Rotolo & Loet Leydesdorff, 2015. "Matching Medline/PubMed data with Web of Science: A routine in R language," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(10), pages 2155-2159, October.

    Cited by:

    1. 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.
    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. 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 and Technology Policy Research, University of Sussex.
    4. 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.

  5. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
    See citations under working paper version above.
  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.

    Cited by:

    1. 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.
    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 and Technology Policy Research, University of Sussex.
    3. 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.
    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 and Technology Policy Research, University of Sussex.
    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. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
    7. Kevin W. Boyack, 2017. "Thesaurus-based methods for mapping contents of publication sets," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1141-1155, May.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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 and Technology Policy Research, University of Sussex.

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 5 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-CSE: Economics of Strategic Management (2) 2015-02-22 2016-02-04. Author is listed
  2. NEP-INO: Innovation (2) 2014-04-18 2016-02-04. Author is listed
  3. NEP-HEA: Health Economics (1) 2016-02-04
  4. NEP-HME: Heterodox Microeconomics (1) 2015-02-22
  5. NEP-SOG: Sociology of Economics (1) 2015-04-02
  6. NEP-TID: Technology & Industrial Dynamics (1) 2016-02-04

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