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Interdisciplinarity and Impact: Distinct Effects of Variety, Balance, and Disparity

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  • Jian Wang
  • Bart Thijs
  • Wolfgang Glänzel

Abstract

Interdisciplinary research is increasingly recognized as the solution to today’s challenging scientific and societal problems, but the relationship between interdisciplinary research and scientific impact is still unclear. This paper studies the association between the degree of interdisciplinarity and the number of citations at the paper level. Different from previous studies compositing various aspects of interdisciplinarity into a single indicator, we use factor analysis to uncover distinct dimensions of interdisciplinarity corresponding to variety, balance, and disparity. We estimate Poisson models with journal fixed effects and robust standard errors to analyze the divergent relationships between these three factors and citations. We find that long-term (13-year) citations (1) increase at an increasing rate with variety, (2) decrease with balance, and (3) increase at a decreasing rate with disparity. Furthermore, interdisciplinarity also affects the process of citation accumulation: (1) although variety and disparity have positive effects on long-term citations, they have negative effects on short-term (3-year) citations, and (2) although balance has a negative effect on long-term citations, its negative effect is insignificant in the short run. These findings have important implications for interdisciplinary research and science policy.

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  • 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.
    • Handle: RePEc:plo:pone00:0127298
    DOI: 10.1371/journal.pone.0127298
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    as
    1. Cameron,A. Colin & Trivedi,Pravin K., 2013. "Regression Analysis of Count Data," Cambridge Books, Cambridge University Press, number 9781107667273, January.
    2. Vincent Larivière & Yves Gingras, 2010. "On the relationship between interdisciplinarity and scientific impact," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(1), pages 126-131, January.
    3. Bornmann, Lutz & Leydesdorff, Loet & Wang, Jian, 2014. "How to improve the prediction based on citation impact percentiles for years shortly after the publication date?," Journal of Informetrics, Elsevier, vol. 8(1), pages 175-180.
    4. Rodrigo Costas & Thed N. van Leeuwen & Anthony F.J. van Raan, 2010. "Is scientific literature subject to a ‘Sell‐By‐Date’? A general methodology to analyze the ‘durability’ of scientific documents," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(2), pages 329-339, February.
    5. Rodrigo Costas & Thed N. van Leeuwen & Anthony F.J. van Raan, 2010. "Is scientific literature subject to a ‘Sell-By-Date’? A general methodology to analyze the ‘durability’ of scientific documents," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(2), pages 329-339, February.
    6. John Horn, 1965. "A rationale and test for the number of factors in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 30(2), pages 179-185, June.
    7. Vincent Larivière & Yves Gingras, 2010. "On the relationship between interdisciplinarity and scientific impact," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(1), pages 126-131, January.
    8. Leydesdorff, Loet & Rafols, Ismael, 2011. "Indicators of the interdisciplinarity of journals: Diversity, centrality, and citations," Journal of Informetrics, Elsevier, vol. 5(1), pages 87-100.
    9. 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.
    10. Ed J. Rinia & Thed. N. Van Leeuwen & Eppo E.W. Bruins & Hendrik G. Van Vuren & Anthony F.J. Van Raan, 2001. "Citation delay in interdisciplinary knowledge exchange," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(1), pages 293-309, April.
    11. Millar, Morgan M., 2013. "Interdisciplinary research and the early career: The effect of interdisciplinary dissertation research on career placement and publication productivity of doctoral graduates in the sciences," Research Policy, Elsevier, vol. 42(5), pages 1152-1164.
    12. Tibor Braun & Wolfgang Glänzel & András Schubert, 2010. "On Sleeping Beauties, Princes and other tales of citation distributions …," Research Evaluation, Oxford University Press, vol. 19(3), pages 195-202, September.
    13. Thomas W. Steele & Jeffrey C. Stier, 2000. "The impact of interdisciplinary research in the environmental sciences: a forestry case study," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 51(5), pages 476-484.
    14. Martin, Ben R. & Irvine, John, 1993. "Assessing basic research : Some partial indicators of scientific progress in radio astronomy," Research Policy, Elsevier, vol. 22(2), pages 106-106, April.
    15. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    16. Gourieroux, Christian & Monfort, Alain & Trognon, Alain, 1984. "Pseudo Maximum Likelihood Methods: Theory," Econometrica, Econometric Society, vol. 52(3), pages 681-700, May.
    17. 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.
    18. Anthony F. J. van Raan, 2004. "Sleeping Beauties in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(3), pages 467-472, March.
    19. Vieira, E.S. & Gomes, J.A.N.F., 2010. "Citations to scientific articles: Its distribution and dependence on the article features," Journal of Informetrics, Elsevier, vol. 4(1), pages 1-13.
    20. Wooldridge, Jeffrey M., 1999. "Distribution-free estimation of some nonlinear panel data models," Journal of Econometrics, Elsevier, vol. 90(1), pages 77-97, May.
    21. Rinia, E. J. & van Leeuwen, Th. N. & van Vuren, H. G. & van Raan, A. F. J., 2001. "Influence of interdisciplinarity on peer-review and bibliometric evaluations in physics research," Research Policy, Elsevier, vol. 30(3), pages 357-361, March.
    22. Jian Wang, 2013. "Citation time window choice for research impact evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 851-872, March.
    23. 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.
    24. Jonathan M. Levitt & Mike Thelwall, 2008. "Is multidisciplinary research more highly cited? A macrolevel study," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(12), pages 1973-1984, October.
    25. Wang, Jian & Hicks, Diana, 2015. "Scientific teams: Self-assembly, fluidness, and interdependence," Journal of Informetrics, Elsevier, vol. 9(1), pages 197-207.
    26. 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.
    27. Hanna Hottenrott & Cindy Lopes-Bento, 2015. "Quantity or quality? Knowledge alliances and their effects on patenting," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 24(5), pages 981-1011.
    28. Wang, Jian, 2014. "Unpacking the Matthew effect in citations," Journal of Informetrics, Elsevier, vol. 8(2), pages 329-339.
    29. 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.
    30. Wolfgang Glänzel & András Schubert, 2003. "A new classification scheme of science fields and subfields designed for scientometric evaluation purposes," Scientometrics, Springer;Akadémiai Kiadó, vol. 56(3), pages 357-367, March.
    31. Gourieroux, Christian & Monfort, Alain & Trognon, Alain, 1984. "Pseudo Maximum Likelihood Methods: Applications to Poisson Models," Econometrica, Econometric Society, vol. 52(3), pages 701-720, May.
    32. Wolfgang Glänzel & Balázs Schlemmer & Bart Thijs, 2003. "Better late than never? On the chance to become highly cited only beyond the standard bibliometric time horizon," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(3), pages 571-586, November.
    33. Deepak Somaya & Ian O. Williamson & Xiaomeng Zhang, 2007. "Combining Patent Law Expertise with R&D for Patenting Performance," Organization Science, INFORMS, vol. 18(6), pages 922-937, December.
    34. Scott E. Page, 2007. "Prologue to The Difference: How the Power of Diversity Creates Better Groups, Firms, Schools, and Societies," Introductory Chapters, in: The Difference: How the Power of Diversity Creates Better Groups, Firms, Schools, and Societies, Princeton University Press.
    35. 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.
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