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Credit Where Credit's Due: Accounting for Co-Authorship in Citation Counts

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  • Tol, Richard S. J.

Abstract

I propose a new method (Pareto weights) to objectively attribute citations to co-authors. Previous methods either profess ignorance about the seniority of co-authors (egalitarian weights) or are based in an ad hoc way on the order of authors (rank weights). Pareto weights are based on the respective citation records of the co-authors. Pareto weights are proportional to the probability of observing the number of citations obtained. Assuming a Pareto distribution, such weights can be computed with a simple, closed-form equation but require a few iterations and data on a scholar, her co-authors, and her co-authors' co-authors. The use of Pareto weights is illustrated with a group of prominent economists. In this case, Pareto weights are very different from rank weights. Pareto weights are more similar to egalitarian weights but can deviate up to a quarter in either direction (for reasons that are intuitive).

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  • Tol, Richard S. J., 2011. "Credit Where Credit's Due: Accounting for Co-Authorship in Citation Counts," Papers WP387, Economic and Social Research Institute (ESRI).
  • Handle: RePEc:esr:wpaper:wp387
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    1. Philippe Aghion & Yann Algan & Pierre Cahuc & Andrei Shleifer, 2010. "Regulation and Distrust," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(3), pages 1015-1049.
    2. J. E. Hirsch, 2010. "An index to quantify an individual’s scientific research output that takes into account the effect of multiple coauthorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 741-754, December.
    3. Ash Mohammad Abbas, 2011. "Weighted indices for evaluating the quality of research with multiple authorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 107-131, July.
    4. Philip Hans Franses, 2003. "The diffusion of scientific publications: The case of Econometrica, 1987," Scientometrics, Springer;Akadémiai Kiadó, vol. 56(1), pages 29-42, January.
    5. Glenn Ellison, 2013. "How Does the Market Use Citation Data? The Hirsch Index in Economics," American Economic Journal: Applied Economics, American Economic Association, vol. 5(3), pages 63-90, July.
    6. Jonathan M. Levitt & Mike Thelwall, 2010. "Does the higher citation of collaborative research differ from region to region? A case study of Economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 171-183, October.
    7. Fok, Dennis & Franses, Philip Hans, 2007. "Modeling the diffusion of scientific publications," Journal of Econometrics, Elsevier, vol. 139(2), pages 376-390, August.
    8. Pablo D. Batista & Mônica G. Campiteli & Osame Kinouchi, 2006. "Is it possible to compare researchers with different scientific interests?," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(1), pages 179-189, July.
    9. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
    10. Leo Egghe, 2005. "A characterization of the law of Lotka in terms of sampling," Scientometrics, Springer;Akadémiai Kiadó, vol. 62(3), pages 321-328, March.
    11. repec:hal:spmain:info:hdl:2441/4km7l02j139aj8hl7kcccmqk9s is not listed on IDEAS
    12. Schreiber, Michael, 2008. "A modification of the h-index: The hm-index accounts for multi-authored manuscripts," Journal of Informetrics, Elsevier, vol. 2(3), pages 211-216.
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