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Validating indicators of interdisciplinarity: linking bibliometric measures to studies of engineering research labs

Author

Listed:
  • David Roessner

    (Georgia Institute of Technology)

  • Alan L. Porter

    (Georgia Institute of Technology)

  • Nancy J. Nersessian

    (Georgia Institute of Technology)

  • Stephen Carley

    (Georgia Institute of Technology)

Abstract

This article examines the extent to which specific features of interdisciplinary research are accurately reflected in selected bibliometric measures of scholarly publications over time. To test the validity of these measures, we compare knowledge of research processes and impact based on ethnographic studies of a well-established researcher’s laboratory, together with personal interview data, against bibliometric indicators of cognitive integration, diffusion, and impact represented in the entire portfolio of papers produced by this researcher over time.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:scient:v:94:y:2013:i:2:d:10.1007_s11192-012-0872-9
    DOI: 10.1007/s11192-012-0872-9
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    References listed on IDEAS

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    1. Stephen Carley & Alan L. Porter, 2012. "A forward diversity index," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 407-427, February.
    2. Andy Stirling, 2007. "A General Framework for Analysing Diversity in Science, Technology and Society," SPRU Working Paper Series 156, SPRU - Science Policy Research Unit, University of Sussex Business School.
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    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Alan L Porter & David J Roessner & Anne E Heberger, 2008. "How interdisciplinary is a given body of research?," Research Evaluation, Oxford University Press, vol. 17(4), pages 273-282, December.
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    Cited by:

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    2. Alexandre Truc, 2022. "The Disciplinary Mobility of Core Behavioral Economists," GREDEG Working Papers 2022-27, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    3. Munan Li, 2015. "A novel three-dimension perspective to explore technology evolution," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1679-1697, December.
    4. 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.
    5. Bethany K Laursen & Nicole Motzer & Kelly J Anderson, 2022. "Pathways for assessing interdisciplinarity: A systematic review," Research Evaluation, Oxford University Press, vol. 31(3), pages 326-343.
    6. 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.
    7. Alexis-Michel Mugabushaka & Anthi Kyriakou & Theo Papazoglou, 2016. "Bibliometric indicators of interdisciplinarity: the potential of the Leinster–Cobbold diversity indices to study disciplinary diversity," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 593-607, May.
    8. Koppman, Sharon & Leahey, Erin, 2019. "Who moves to the methodological edge? Factors that encourage scientists to use unconventional methods," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    9. Jaideep Ghosh & Avinash Kshitij & Sandeep Kadyan, 2015. "Functional information characteristics of large-scale research collaboration: network measures and implications," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1207-1239, February.
    10. Stephen F. Carley & Seokbeom Kwon & Alan L. Porter & Jan L. Youtie, 2019. "The relationship between forward and backward diversity in CORE datasets," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 961-974, September.

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