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https://hdl.handle.net/10419/50131
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DC Field | Value | Language |
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dc.contributor.author | Tol, Richard S.J. | en |
dc.date.accessioned | 2011-05-19 | - |
dc.date.accessioned | 2011-09-30T10:00:32Z | - |
dc.date.available | 2011-09-30T10:00:32Z | - |
dc.date.issued | 2011 | - |
dc.identifier.uri | http://hdl.handle.net/10419/50131 | - |
dc.description.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). | en |
dc.language.iso | eng | en |
dc.publisher | |aThe Economic and Social Research Institute (ESRI) |cDublin | en |
dc.relation.ispartofseries | |aESRI Working Paper |x387 | en |
dc.subject.ddc | 330 | en |
dc.subject.keyword | citations | en |
dc.subject.keyword | co-authors | en |
dc.subject.keyword | Pareto distribution | en |
dc.title | Credit where credit's due: Accounting for co-authorship in citation counts | - |
dc.type | Working Paper | en |
dc.identifier.ppn | 659364840 | en |
dc.rights | http://www.econstor.eu/dspace/Nutzungsbedingungen | en |
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