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Fairer citation based metrics

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dc.contributor.authorArandelovic, Ognjen
dc.date.accessioned2016-06-15T15:30:07Z
dc.date.available2016-06-15T15:30:07Z
dc.date.issued2016-09
dc.identifier.citationArandelovic , O 2016 , ' Fairer citation based metrics ' , Publishing Research Quarterly , vol. 32 , no. 3 , pp. 163-169 . https://doi.org/10.1007/s12109-016-9461-8en
dc.identifier.issn1053-8801
dc.identifier.otherPURE: 243024872
dc.identifier.otherPURE UUID: 4525c6f1-4568-4eed-80e4-d7d872797cf1
dc.identifier.otherScopus: 84980417502
dc.identifier.otherWOS: 000448358700001
dc.identifier.urihttps://hdl.handle.net/10023/8993
dc.description.abstractI describe a simple modification which can be applied to any citation count based index (e.g. Hirsch’s h-index) quantifying a researcher’s publication output. The key idea behind the proposed approach is that the merit for the citations of a paper should be distributed amongst its authors according to their relative contributions. In addition to producing inherently fairer metrics I show that the proposed modification has the potential to normalize partially for the unfair effects of honorary authorship and thus discourage this practice.
dc.format.extent7
dc.language.isoeng
dc.relation.ispartofPublishing Research Quarterlyen
dc.rights© The Author(s) 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.en
dc.subjectPublicationen
dc.subjectIndexen
dc.subjectQuantificationen
dc.subjectResearchen
dc.subjectOutputen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectZ665 Library Science. Information Scienceen
dc.subjectNDASen
dc.subject.lccQA75en
dc.subject.lccZ665en
dc.titleFairer citation based metricsen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen
dc.identifier.doihttps://doi.org/10.1007/s12109-016-9461-8
dc.description.statusPeer revieweden


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