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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10419/50131
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Full metadata record
| DC Field | | Value | | Language |
| dc.contributor.author | | Tol, Richard S.J. | | en_US |
| dc.date.accessioned | | 2011-05-19 | | en_US |
| dc.date.accessioned | | 2011-09-30T10:00:32Z | | - |
| dc.date.available | | 2011-09-30T10:00:32Z | | - |
| dc.date.issued | | 2011 | | en_US |
| 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_US |
| dc.language.iso | | eng | | en_US |
| dc.publisher | | ESRI Dublin | | en_US |
| dc.relation.ispartofseries | | ESRI working paper 387 | | en_US |
| dc.subject.ddc | | 330 | | en_US |
| dc.subject.keyword | | citations | | en_US |
| dc.subject.keyword | | co-authors | | en_US |
| dc.subject.keyword | | Pareto distribution | | en_US |
| dc.title | | Credit where credit's due: Accounting for co-authorship in citation counts | | en_US |
| dc.type | | Working Paper | | en_US |
| dc.identifier.ppn | | 659364840 | | en_US |
| dc.rights | | http://www.econstor.eu/dspace/Nutzungsbedingungen | | en_US |
| Appears in Collections: | | ESRI Working Papers, The Economic and Social Research Institute (ESRI)
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