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Diversity and network coherence as indicators of interdisciplinarity: Case studies in bionanoscience

Author

Listed:
  • Ismael Rafols

    () (SPRU, University of Sussex)

  • Martin Meyer

    () (SPRU, University of Sussex)

Abstract

No abstract is available for this item.

Suggested Citation

  • Ismael Rafols & Martin Meyer, 2008. "Diversity and network coherence as indicators of interdisciplinarity: Case studies in bionanoscience," SPRU Working Paper Series 167, SPRU - Science and Technology Policy Research, University of Sussex.
  • Handle: RePEc:sru:ssewps:167
    as

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    File URL: http://www.sussex.ac.uk/spru/documents/sewp167.pdf
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    References listed on IDEAS

    as
    1. 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.
    2. Tijssen, Robert J. W., 1992. "A quantitative assessment of interdisciplinary structures in science and technology: Co-classification analysis of energy research," Research Policy, Elsevier, vol. 21(1), pages 27-44, February.
    3. Andy Stirling, 2007. "A General Framework for Analysing Diversity in Science, Technology and Society," SPRU Working Paper Series 156, SPRU - Science and Technology Policy Research, University of Sussex.
    4. van Raan, A. F. J. & van Leeuwen, Th. N., 2002. "Assessment of the scientific basis of interdisciplinary, applied research: Application of bibliometric methods in Nutrition and Food Research," Research Policy, Elsevier, vol. 31(4), pages 611-632, May.
    5. Luis Sanz-Menéndez & María Bordons & M Angeles Zulueta, 2001. "Interdisciplinarity as a multidimensional concept: its measure in three different research areas," Research Evaluation, Oxford University Press, vol. 10(1), pages 47-58, April.
    6. repec:spr:scient:v:61:y:2004:i:1:d:10.1023_b:scie.0000037368.31217.34 is not listed on IDEAS
    7. Lionel Nesta & Pier Paolo Saviotti, 2005. "COHERENCE OF THE KNOWLEDGE BASE AND THE FIRM'S INNOVATIVE PERFORMANCE: EVIDENCE FROM THE U.S. PHARMACEUTICAL INDUSTRY -super-," Journal of Industrial Economics, Wiley Blackwell, vol. 53(1), pages 123-142, March.
    8. Thed van Leeuwen & Robert Tijssen, 2000. "Interdisciplinary dynamics of modern science: analysis of cross-disciplinary citation flows," Research Evaluation, Oxford University Press, vol. 9(3), pages 183-187, December.
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    Citations

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    Cited by:

    1. Mario Coccia & Ugo Finardi, 2012. "Groundbreaking technological applications of nanotechnology in biomedicine: detecting emerging pathways from scientific and technological outputs," CERIS Working Paper 201207, Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY -NOW- Research Institute on Sustainable Economic Growth - Moncalieri (TO) ITALY.
    2. van Rijnsoever, Frank J. & van den Berg, Jesse & Koch, Joost & Hekkert, Marko P., 2015. "Smart innovation policy: How network position and project composition affect the diversity of an emerging technology," Research Policy, Elsevier, vol. 44(5), pages 1094-1107.
    3. Diego Chavarro & Puay Tang & Ismael Rafols, 2014. "Interdisciplinarity and research on local issues: evidence from a developing country," Research Evaluation, Oxford University Press, vol. 23(3), pages 195-209.
    4. 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.
    5. repec:spr:scient:v:112:y:2017:i:1:d:10.1007_s11192-017-2383-1 is not listed on IDEAS
    6. repec:spr:scient:v:100:y:2014:i:3:d:10.1007_s11192-014-1319-2 is not listed on IDEAS
    7. Lawson, Cornelia & Soós,Sándor, 2014. "A Thematic Mobility Measure for Econometric Analysis," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201408, University of Turin.
    8. Berna Beyhan & M. Teoman Pamukçu, 2011. "Nanotechnology research in Turkey: A university-driven achievement," STPS Working Papers 1107, STPS - Science and Technology Policy Studies Center, Middle East Technical University, revised Jul 2011.
    9. 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.
    10. Olmos-Peñuela, Julia & Castro-Martínez, Elena & D’Este, Pablo, 2014. "Knowledge transfer activities in social sciences and humanities: Explaining the interactions of research groups with non-academic agents," Research Policy, Elsevier, vol. 43(4), pages 696-706.
    11. 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.
    12. Bonaccorsi, Andrea & Vargas, Juan, 2010. "Proliferation dynamics in new sciences," Research Policy, Elsevier, vol. 39(8), pages 1034-1050, October.
    13. D’Este,Pablo & Llopis,Oscar & Yegros,Alfredo, 2013. "Conducting pro-social research: cognitive diversity, research excellence and awareness about the social impact of research," INGENIO (CSIC-UPV) Working Paper Series 201303, INGENIO (CSIC-UPV).
    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 and Technology Policy Research, University of Sussex.
    15. Rousseau, Ronald & Hu, Xiaojun, 2013. "Two time series, their meaning and some applications," Journal of Informetrics, Elsevier, vol. 7(3), pages 603-610.
    16. Lee, You-Na & Walsh, John P. & Wang, Jian, 2015. "Creativity in scientific teams: Unpacking novelty and impact," Research Policy, Elsevier, vol. 44(3), pages 684-697.

    More about this item

    Keywords

    Interdisciplinary research; nanotechnology; nanoscience; diversity; indicators; network analysis;

    JEL classification:

    • C0 - Mathematical and Quantitative Methods - - General
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

    NEP fields

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