Arbeitspapier
Credit where credit's due: Accounting for co-authorship in citation counts
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).
- Sprache
-
Englisch
- Erschienen in
-
Series: ESRI Working Paper ; No. 387
- Klassifikation
-
Wirtschaft
- Thema
-
citations
co-authors
Pareto distribution
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Tol, Richard S.J.
- Ereignis
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Veröffentlichung
- (wer)
-
The Economic and Social Research Institute (ESRI)
- (wo)
-
Dublin
- (wann)
-
2011
- Handle
- Letzte Aktualisierung
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10.03.2025, 11:43 MEZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Tol, Richard S.J.
- The Economic and Social Research Institute (ESRI)
Entstanden
- 2011
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