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Credit where credit’s due: accounting for co-authorship in citation counts

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  • Richard S. J. Tol

    (Economic and Social Research Institute
    Vrije Universiteit
    Vrije Universiteit
    Trinity College)

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).

Suggested Citation

  • Richard S. J. Tol, 2011. "Credit where credit’s due: accounting for co-authorship in citation counts," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 291-299, October.
  • Handle: RePEc:spr:scient:v:89:y:2011:i:1:d:10.1007_s11192-011-0451-5
    DOI: 10.1007/s11192-011-0451-5
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    19. Levitt, Jonathan M. & Thelwall, Mike, 2013. "Alphabetization and the skewing of first authorship towards last names early in the alphabet," Journal of Informetrics, Elsevier, vol. 7(3), pages 575-582.

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