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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).

Suggested Citation

  • 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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    References listed on IDEAS

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    1. repec:spr:scient:v:85:y:2010:i:3:d:10.1007_s11192-010-0193-9 is not listed on IDEAS
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    Cited by:

    1. repec:spr:scient:v:105:y:2015:i:3:d:10.1007_s11192-015-1622-6 is not listed on IDEAS
    2. James C. Ryan, 2016. "A validation of the individual annual h-index (hIa): application of the hIa to a qualitatively and quantitatively different sample," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 577-590, October.
    3. repec:spr:scient:v:99:y:2014:i:3:d:10.1007_s11192-013-1208-0 is not listed on IDEAS
    4. repec:spr:scient:v:96:y:2013:i:1:d:10.1007_s11192-012-0905-4 is not listed on IDEAS
    5. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    6. Sangwal, Keshra, 2014. "Distributions of citations of papers of individual authors publishing in different scientific disciplines: Application of Langmuir-type function," Journal of Informetrics, Elsevier, vol. 8(4), pages 972-984.
    7. Karpov, Alexander, 2014. "Equal weights coauthorship sharing and the Shapley value are equivalent," Journal of Informetrics, Elsevier, vol. 8(1), pages 71-76.
    8. Persson, Rasmus A.X., 2017. "Bibliometric author evaluation through linear regression on the coauthor network," Journal of Informetrics, Elsevier, vol. 11(1), pages 299-306.
    9. repec:spr:scient:v:103:y:2015:i:1:d:10.1007_s11192-014-1519-9 is not listed on IDEAS
    10. Rahman, Mohammad Tariqur & Regenstein, Joe Mac & Kassim, Noor Lide Abu & Haque, Nazmul, 2017. "The need to quantify authors’ relative intellectual contributions in a multi-author paper," Journal of Informetrics, Elsevier, vol. 11(1), pages 275-281.
    11. 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.
    12. repec:spr:scient:v:98:y:2014:i:3:d:10.1007_s11192-013-1139-9 is not listed on IDEAS

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