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Measuring researcher interdisciplinarity

Author

Listed:
  • Alan L. Porter

    (National Academies Keck Futures Initiative (NAKFI)
    Georgia Tech)

  • Alex S. Cohen

    (National Academies Keck Futures Initiative (NAKFI))

  • J. David Roessner

    (National Academies Keck Futures Initiative (NAKFI))

  • Marty Perreault

    (National Academies Keck Futures Initiative (NAKFI))

Abstract

We offer two metrics that together help gauge how interdisciplinary a body of research is. Both draw upon Web of Knowledge Subject Categories (SCs) as key units of analysis. We have assembled two substantial Web of Knowledge samples from which to determine how closely individual SCs relate to each other. “Integration” measures the extent to which a research article cites diverse SCs. “Specialization” considers the spread of SCs in which the body of research (e.g., the work of a given author in a specified time period) is published. Pilot results for a sample of researchers show a surprising degree of interdisciplinarity.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:scient:v:72:y:2007:i:1:d:10.1007_s11192-007-1700-5
    DOI: 10.1007/s11192-007-1700-5
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    References listed on IDEAS

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    1. Ronald N. Kostoff & J. Antonio del Río & James A. Humenik & Esther Ofilia García & Ana María Ramírez, 2001. "Citation mining: Integrating text mining and bibliometrics for research user profiling," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 52(13), pages 1148-1156.
    2. Fernanda Morillo & María Bordons & Isabel Gómez, 2003. "Interdisciplinarity in science: A tentative typology of disciplines and research areas," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(13), pages 1237-1249, November.
    3. Alan L Porter & J David Roessner & Alex S Cohen & Marty Perreault, 2006. "Interdisciplinary research: meaning, metrics and nurture," Research Evaluation, Oxford University Press, vol. 15(3), pages 187-195, December.
    4. Kevin W. Boyack & Richard Klavans & Katy Börner, 2005. "Mapping the backbone of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 64(3), pages 351-374, August.
    5. H. P. F. Peters & R. R. Braam & A. F. J. van Raan, 1995. "Cognitive resemblance and citation relations in chemical engineering publications," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 46(1), pages 9-21, January.
    6. Félix Moya-Anegón & Benjamín Vargas-Quesada & Victor Herrero-Solana & Zaida Chinchilla-Rodríguez & Elena Corera-Álvarez & Francisco J. Munoz-Fernández, 2004. "A new technique for building maps of large scientific domains based on the cocitation of classes and categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(1), pages 129-145, September.
    7. Alan L. Porter & Alisa Kongthon & Jye-Chyi (JC) Lu, 2002. "Research profiling: Improving the literature review," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(3), pages 351-370, March.
    8. Fernanda Morillo & María Bordons & Isabel Gómez, 2001. "An approach to interdisciplinarity through bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(1), pages 203-222, April.
    9. Hajime Eto, 2003. "Interdisciplinary information input and output of a nano-technology project," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(1), pages 5-33, September.
    10. James S. Dietz & Ivan Chompalov & Barry Bozeman & Eliesh O'Neil Lane & Jongwon Park, 2000. "Using the Curriculum Vita to Study the Career Paths of Scientists and Engineers: An Exploratory Assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 49(3), pages 419-442, November.
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