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dc.contributor.authorTol, Richard S.J.en_US
dc.date.accessioned2011-05-19en_US
dc.date.accessioned2011-09-30T10:00:32Z-
dc.date.available2011-09-30T10:00:32Z-
dc.date.issued2011en_US
dc.identifier.urihttp://hdl.handle.net/10419/50131-
dc.description.abstractI 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).en_US
dc.language.isoengen_US
dc.publisherESRI Dublinen_US
dc.relation.ispartofseriesESRI working paper 387en_US
dc.subject.ddc330en_US
dc.subject.keywordcitationsen_US
dc.subject.keywordco-authorsen_US
dc.subject.keywordPareto distributionen_US
dc.titleCredit where credit's due: Accounting for co-authorship in citation countsen_US
dc.typeWorking Paperen_US
dc.identifier.ppn659364840en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen_US
Appears in Collections:ESRI Working Papers, The Economic and Social Research Institute (ESRI)

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