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dc.creatorHalkos, G. E.en
dc.creatorTzeremes, N. G.en
dc.date.accessioned2015-11-23T10:29:46Z
dc.date.available2015-11-23T10:29:46Z
dc.date.issued2011
dc.identifier10.1007/s11192-011-0421-y
dc.identifier.issn0138-9130
dc.identifier.urihttp://hdl.handle.net/11615/28389
dc.description.abstractThis paper by using data envelopment analysis (DEA) and statistical inference evaluates the citation performance of 229 economic journals. The paper categorizes the journals into four main categories (A-D) based on their efficiency levels. The results are then compared to the 27 "core economic journals'' as introduced by Diamond (Curr Contents 21(1):4-11, 1989). The results reveal that after more than 20 years Diamonds' list of "core economic journals'' is still valid. Finally, for the first time the paper uses data from four well-known databases (SSCI, Scopus, RePEc, Econlit) and two quality ranking reports (Kiel Institute internals ranking and ABS quality ranking report) in a DEA setting and in order to derive the ranking of 229 economic journals. The ten economic journals with the highest citation performance are Journal of Political Economy, Econometrica, Quarterly Journal of Economics, Journal of Financial Economics, Journal of Economic Literature, American Economic Review, Review of Economic Studies, Journal of Econometrics, Journal of Finance, Brookings Papers on Economic Activity.en
dc.sourceScientometricsen
dc.source.uri<Go to ISI>://WOS:000294839700017
dc.subjectRanking journalsen
dc.subjectEconomic journalsen
dc.subjectData envelopment analysisen
dc.subjectIndexingen
dc.subjecttechniquesen
dc.subjectNONPARAMETRIC FRONTIER MODELSen
dc.subjectWEB-OF-SCIENCEen
dc.subjectGOOGLE SCHOLARen
dc.subjectRELATIVEen
dc.subjectIMPACTSen
dc.subjectRANKINGen
dc.subjectINDICATORSen
dc.subjectSCOPUSen
dc.subjectBOOTSTRAPen
dc.subjectCOVERAGEen
dc.subjectINDEXESen
dc.subjectComputer Science, Interdisciplinary Applicationsen
dc.subjectInformation Science &en
dc.subjectLibrary Scienceen
dc.titleMeasuring economic journals' citation efficiency: a data envelopment analysis approachen
dc.typejournalArticleen


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