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High - and low-impact citation measures: empirical applications

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dc.affiliation.dptoUC3M. Departamento de Economíaes
dc.contributor.authorAlbarrán, Pedro
dc.contributor.authorOrtuño, Ignacio
dc.contributor.authorRuiz-Castillo, Javier
dc.contributor.editorUniversidad Carlos III de Madrid. Departamento de Economía
dc.date.accessioned2010-05-10T15:26:50Z
dc.date.available2010-05-10T15:26:50Z
dc.date.issued2010-05
dc.description.abstractThis paper contains the first empirical applications of a novel methodology for comparing the citation distributions of research units working in the same homogeneous field. The paper considers a situation in which the world citation distribution in 22 scientific fields is partitioned into three geographical areas: the U.S., the European Union (EU), and the rest of the world (RW). Given a critical citation level (CCL), we suggest using two real valued indicators to describe the shape of each area’s distribution: a high- and a low-impact measure defined over the set of articles with citations below or above the CCL. It is found that, when the CCL is fixed at the 80th percentile of the world citation distribution, the U.S. performs dramatically better than the EU and the RW according to both indicators in all scientific fields. This superiority generally increases as we move from the incidence to the intensity and the citation inequality aspects of the phenomena in question. Surprisingly, changes observed when the CCL is increased from the 80th to the 95th percentile are of a relatively small order of magnitude. Finally, it is found that international co-authorship increases the high-impact and reduces the low-impact level in the three geographical areas. This is especially the case for the EU and the RW when they cooperate with the U.S.
dc.description.sponsorshipEuropean Community's Seventh Framework Program
dc.description.sponsorshipAlbarrán and Ruiz-Castillo acknowledge financial help from the Spanish MEC, the first through grants SEJ2007-63098 and SEJ2006-05710, and the second through grant SEJ2007-67436. Finally, this paper is part of the SCIFI-GLOW Collaborative Project supported by the European Commission's Seventh Research Framework Programme, Contract number SSH7-CT-2008-217436.en
dc.format.mimetypeapplication/pdf
dc.identifier.issn2340-5031
dc.identifier.repecwe10_09
dc.identifier.urihttps://hdl.handle.net/10016/8246
dc.language.isoeng
dc.relation.hasversionhttp://hdl.handle.net/10016/10184
dc.relation.ispartofseriesUC3M Working papers. Economics
dc.relation.ispartofseries10-09
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/217436
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.ecienciaEconomía
dc.titleHigh - and low-impact citation measures: empirical applications
dc.typeworking paper*
dc.type.hasVersionSMUR*
dspace.entity.typePublication
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