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A global map of science based on the ISI subject categories

Citations

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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. 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.
  3. 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.
  4. Balland, Pierre-Alexandre & Boschma, Ron, 2022. "Do scientific capabilities in specific domains matter for technological diversification in European regions?," Research Policy, Elsevier, vol. 51(10).
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. Keisuke Okamura, 2019. "Interdisciplinarity revisited: evidence for research impact and dynamism," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-9, December.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. Sándor Soós & George Kampis, 2012. "Beyond the basemap of science: mapping multiple structures in research portfolios: evidence from Hungary," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 869-891, December.
  16. 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.
  17. 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.
  18. Shino Iwami, 2017. "Study on the destination of research via knowledge flows," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 273-288, July.
  19. Nicolás Robinson-García & Daniel Torres-Salinas & Emilio Delgado López-Cózar & Francisco Herrera, 2014. "An insight into the importance of national university rankings in an international context: the case of the I-UGR rankings of Spanish universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1309-1324, November.
  20. Mora, Luca & Deakin, Mark & Reid, Alasdair, 2019. "Combining co-citation clustering and text-based analysis to reveal the main development paths of smart cities," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 56-69.
  21. 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.
  22. Juste Raimbault, 2019. "Exploration of an interdisciplinary scientific landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 617-641, May.
  23. 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.
  24. 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.
  25. 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).
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. Yu-Wei Chang, 2019. "Are articles in library and information science (LIS) journals primarily contributed to by LIS authors?," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 81-104, October.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. 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).
  38. 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.
  39. Franceschet, Massimo, 2010. "Journal influence factors," Journal of Informetrics, Elsevier, vol. 4(3), pages 239-248.
  40. 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).
  41. Sicilia, Miguel-Angel & Sánchez-Alonso, Salvador & García-Barriocanal, Elena, 2011. "Comparing impact factors from two different citation databases: The case of Computer Science," Journal of Informetrics, Elsevier, vol. 5(4), pages 698-704.
  42. 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.
  43. Bornmann, Lutz & Leydesdorff, Loet & Walch-Solimena, Christiane & Ettl, Christoph, 2011. "Mapping excellence in the geography of science: An approach based on Scopus data," Journal of Informetrics, Elsevier, vol. 5(4), pages 537-546.
  44. 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.
  45. 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.
  46. 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.
  47. 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.
  48. 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.
  49. 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.
  50. Finn Valentin & Maria Theresa Norn & Lars Alkaersig, 2016. "Orientations and outcome of interdisciplinary research: the case of research behaviour in translational medical science," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 67-90, January.
  51. Sebastian Grauwin & Pablo Jensen, 2011. "Mapping scientific institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 943-954, December.
  52. 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.
  53. 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.
  54. 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.
  55. Lorenzo Cassi & Wilfriedo Mescheba & Élisabeth Turckheim, 2014. "How to evaluate the degree of interdisciplinarity of an institution?," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1871-1895, December.
  56. 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.
  57. Loet Leydesdorff & Lutz Bornmann, 2012. "Mapping (USPTO) patent data using overlays to Google Maps," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(7), pages 1442-1458, July.
  58. 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.
  59. 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.
  60. 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.
  61. 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.
  62. 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.
  63. 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.
  64. 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.
  65. 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).
  66. 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.
  67. Juan Miguel Campanario, 2018. "Journals that Rise from the Fourth Quartile to the First Quartile in Six Years or Less: Mechanisms of Change and the Role of Journal Self-Citations," Publications, MDPI, vol. 6(4), pages 1-15, November.
  68. 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.
  69. 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.
  70. 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.
  71. 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.
  72. Ina Ganguli, 2015. "Immigration and Ideas: What Did Russian Scientists "Bring" to the United States?," Journal of Labor Economics, University of Chicago Press, vol. 33(S1), pages 257-288.
  73. 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.
  74. 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.
  75. 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.
  76. 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.
  77. 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.
  78. 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.
  79. 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.
  80. 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.
  81. 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.
  82. Philip Shapira & Jan Youtie & Alan L. Porter, 2010. "The emergence of social science research on nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(2), pages 595-611, November.
  83. Czarnitzki, Dirk & Doherr, Thorsten & Hussinger, Katrin & Schliessler, Paula & Toole, Andrew A., 2015. "Individual versus institutional ownership of university-discovered inventions," ZEW Discussion Papers 15-007, ZEW - Leibniz Centre for European Economic Research.
  84. 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.
  85. 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.
  86. 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.
  87. Fusillo, Fabrizio, 2020. "Are Green Inventions really more complex? Evidence from European Patents," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202015, University of Turin.
  88. 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.
  89. 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 Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(10), pages 1954-1962, October.
  90. 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.
  91. 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.
  92. R. Basurto-Flores & L. Guzmán-Vargas & S. Velasco & A. Medina & A. Calvo Hernandez, 2018. "On entropy research analysis: cross-disciplinary knowledge transfer," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 123-139, October.
  93. Bonaccorsi, Andrea & Vargas, Juan, 2010. "Proliferation dynamics in new sciences," Research Policy, Elsevier, vol. 39(8), pages 1034-1050, October.
  94. Xinhai Liu & Wolfgang Glänzel & Bart Moor, 2012. "Optimal and hierarchical clustering of large-scale hybrid networks for scientific mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 473-493, May.
  95. 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.
  96. Chiara Carusi & Giuseppe Bianchi, 2020. "A look at interdisciplinarity using bipartite scholar/journal networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 867-894, February.
  97. 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.
  98. Dorothea Jansen & Regina Görtz & Richard Heidler, 2010. "Knowledge production and the structure of collaboration networks in two scientific fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 219-241, April.
  99. Colavizza, Giovanni & Franssen, Thomas & van Leeuwen, Thed, 2019. "An empirical investigation of the tribes and their territories: Are research specialisms rural and urban?," Journal of Informetrics, Elsevier, vol. 13(1), pages 105-117.
  100. 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.
  101. 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.
  102. 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.
  103. 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.
  104. Giovanni Abramo & Ciriaco Andrea D’Angelo & Marco Solazzi, 2012. "A bibliometric tool to assess the regional dimension of university–industry research collaborations," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 955-975, June.
  105. 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.
  106. Chen, Lixin, 2017. "Do patent citations indicate knowledge linkage? The evidence from text similarities between patents and their citations," Journal of Informetrics, Elsevier, vol. 11(1), pages 63-79.
  107. Ina Ganguli, 2017. "Saving Soviet Science: The Impact of Grants When Government R&D Funding Disappears," American Economic Journal: Applied Economics, American Economic Association, vol. 9(2), pages 165-201, April.
  108. 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.
  109. Zhang, Lin & Liu, Xinhai & Janssens, Frizo & Liang, Liming & Glänzel, Wolfgang, 2010. "Subject clustering analysis based on ISI category classification," Journal of Informetrics, Elsevier, vol. 4(2), pages 185-193.
  110. 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.
  111. Cobo, M.J. & López-Herrera, A.G. & Herrera-Viedma, E. & Herrera, F., 2011. "An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field," Journal of Informetrics, Elsevier, vol. 5(1), pages 146-166.
  112. 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.
  113. Karmen Stopar & Damjana Drobne & Klemen Eler & Tomaz Bartol, 2016. "Citation analysis and mapping of nanoscience and nanotechnology: identifying the scope and interdisciplinarity of research," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 563-581, February.
  114. 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.
  115. Douglas K. R. Robinson & Lu Huang & Yan Guo & Alan L. Porter, 2013. "Forecasting Innovation Pathways (FIP) for new and emerging science and technologies," Post-Print hal-01070417, HAL.
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