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An approach to interdisciplinarity through bibliometric indicators

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  1. Costas, Rodrigo & van Leeuwen, Thed N. & van Raan, Anthony F.J., 2013. "Effects of the durability of scientific literature at the group level: Case study of chemistry research groups in the Netherlands," Research Policy, Elsevier, vol. 42(4), pages 886-894.
  2. Xu, Haiyun & Yue, Zenghui & Pang, Hongshen & Elahi, Ehsan & Li, Jing & Wang, Lu, 2022. "Integrative model for discovering linked topics in science and technology," Journal of Informetrics, Elsevier, vol. 16(2).
  3. Keisuke Okamura, 2019. "Interdisciplinarity revisited: evidence for research impact and dynamism," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-9, December.
  4. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Zhang, Lin, 2018. "A comparison of two approaches for measuring interdisciplinary research output: The disciplinary diversity of authors vs the disciplinary diversity of the reference list," Journal of Informetrics, Elsevier, vol. 12(4), pages 1182-1193.
  5. Tanmoy Chakraborty, 2018. "Role of interdisciplinarity in computer sciences: quantification, impact and life trajectory," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 1011-1029, March.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. Fei Shu & Jesse David Dinneen & Shiji Chen, 2022. "Measuring the disparity among scientific disciplines using Library of Congress Subject Headings," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3613-3628, June.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. Mund, Carolin & Neuhäusler, Peter, 2015. "Towards an early-stage identification of emerging topics in science—The usability of bibliometric characteristics," Journal of Informetrics, Elsevier, vol. 9(4), pages 1018-1033.
  17. Alan L. Porter & Alex S. Cohen & J. David Roessner & Marty Perreault, 2007. "Measuring researcher interdisciplinarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(1), pages 117-147, July.
  18. Robert Tomaszewski, 2017. "Citations to chemical resources in scholarly articles: CRC Handbook of Chemistry and Physics and The Merck Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1865-1879, September.
  19. 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.
  20. Yeon Hak Kim & Aaron D. Levine & Eric J. Nehl & John P. Walsh, 2020. "A bibliometric measure of translational science," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2349-2382, December.
  21. Chen, Shiji & Qiu, Junping & Arsenault, Clément & Larivière, Vincent, 2021. "Exploring the interdisciplinarity patterns of highly cited papers," Journal of Informetrics, Elsevier, vol. 15(1).
  22. 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.
  23. 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.
  24. 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.
  25. Elise Bassecoulard & Alain Lelu & Michel Zitt, 2007. "Mapping nanosciences by citation flows: A preliminary analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(3), pages 859-880, March.
  26. 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.
  27. 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.
  28. Julia Melkers & Fang Xiao, 2012. "Boundary-spanning in emerging technology research: determinants of funding success for academic scientists," The Journal of Technology Transfer, Springer, vol. 37(3), pages 251-270, June.
  29. Shannon M. Donovan & Michael O’Rourke & Chris Looney, 2015. "Your Hypothesis or Mine? Terminological and Conceptual Variation Across Disciplines," SAGE Open, , vol. 5(2), pages 21582440155, May.
  30. 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.
  31. Cristina Gomes Souza & Marta Lúcia Azevedo Ferreira, 2013. "Researchers profile, co-authorship pattern and knowledge organization in information science in Brazil," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 673-687, May.
  32. Sick, Nathalie & Bröring, Stefanie, 2022. "Exploring the research landscape of convergence from a TIM perspective: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  33. 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.
  34. Sander Zwanenburg & Maryam Nakhoda & Peter Whigham, 2022. "Toward greater consistency and validity in measuring interdisciplinarity: a systematic and conceptual evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7769-7788, December.
  35. Ed J. Rinia & Thed N. van Leeuwen & Eppo E. W. Bruins & Hendrik G. van Vuren & Anthony F. J. van Raan, 2002. "Measuring knowledge transfer between fields of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(3), pages 347-362, July.
  36. 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.
  37. 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.
  38. 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.
  39. 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.
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