IDEAS home Printed from https://ideas.repec.org/r/spr/scient/v54y2002i3d10.1023_a1016078331752.html
   My bibliography  Save this item

Measuring knowledge transfer between fields of science

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Iina Hellsten & Renaud Lambiotte & Andrea Scharnhorst & Marcel Ausloos, 2007. "Self-citations, co-authorships and keywords: A new approach to scientists’ field mobility?," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(3), pages 469-486, September.
  2. Wang, Jian & Veugelers, Reinhilde & Stephan, Paula, 2017. "Bias against novelty in science: A cautionary tale for users of bibliometric indicators," Research Policy, Elsevier, vol. 46(8), pages 1416-1436.
  3. 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.
  4. 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.
  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. Matthew A. Shapiro, 2012. "Receiving information at Korean and Taiwanese universities, industry, and GRIs," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 289-309, January.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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).
  14. 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.
  15. 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.
  16. Chakraborty, Tanmoy & Tammana, Vihar & Ganguly, Niloy & Mukherjee, Animesh, 2015. "Understanding and modeling diverse scientific careers of researchers," Journal of Informetrics, Elsevier, vol. 9(1), pages 69-78.
  17. 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.
  18. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
  19. Zhang, Chengzhi & Liu, Lifan & Wang, Yuzhuo, 2021. "Characterizing references from different disciplines: A perspective of citation content analysis," Journal of Informetrics, Elsevier, vol. 15(2).
  20. Mu-Hsuan Huang & Yu-Wei Chang, 2012. "A comparative study of interdisciplinary changes between information science and library science," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 789-803, June.
  21. Tanskanen, Kari & Ahola, Tuomas & Aminoff, Anna & Bragge, Johanna & Kaipia, Riikka & Kauppi, Katri, 2017. "Towards evidence-based management of external resources: Developing design propositions and future research avenues through research synthesis," Research Policy, Elsevier, vol. 46(6), pages 1087-1105.
  22. Landry, Réjean & Saïhi, Malek & Amara, Nabil & Ouimet, Mathieu, 2010. "Evidence on how academics manage their portfolio of knowledge transfer activities," Research Policy, Elsevier, vol. 39(10), pages 1387-1403, December.
  23. 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.
  24. Soler, José M., 2007. "A rational indicator of scientific creativity," Journal of Informetrics, Elsevier, vol. 1(2), pages 123-130.
  25. Huutoniemi, Katri & Klein, Julie Thompson & Bruun, Henrik & Hukkinen, Janne, 2010. "Analyzing interdisciplinarity: Typology and indicators," Research Policy, Elsevier, vol. 39(1), pages 79-88, February.
  26. Isamel Rafols & Martin Meyer, 2006. "Knowledge-sourcing strategies for cross-disciplinarity in bionanotechnology," SPRU Working Paper Series 152, SPRU - Science Policy Research Unit, University of Sussex Business School.
  27. Mao, Jin & Liang, Zhentao & Cao, Yujie & Li, Gang, 2020. "Quantifying cross-disciplinary knowledge flow from the perspective of content: Introducing an approach based on knowledge memes," Journal of Informetrics, Elsevier, vol. 14(4).
  28. 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.
  29. 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.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.