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Credit where credit's due: Accounting for co-authorship in citation counts

journal contribution
posted on 2023-06-08, 11:04 authored by Richard TolRichard Tol
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).

History

Publication status

  • Published

Journal

Scientometrics

ISSN

0138-9130

Publisher

Springer Verlag

Issue

1

Volume

89

Page range

291-299

Department affiliated with

  • Economics Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2012-04-23

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