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Predictors of citations: an analysis of highly-cited-papers in hospitality and tourism research using a machine learning approach

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dc.contributor.authorPolat, Eray
dc.contributor.authorÇelik, Fatih
dc.contributor.authorArici, Hasan Evrim
dc.contributor.authorKöseoglu, Mehmet Ali
dc.date.accessioned2026-01-04T21:15:39Z
dc.date.issued2024-12-28
dc.description.urihttps://doi.org/10.1080/13683500.2024.2446410
dc.identifier.doi10.1080/13683500.2024.2446410
dc.identifier.eissn1747-7603
dc.identifier.endpage22
dc.identifier.issn1368-3500
dc.identifier.openairedoi_________::a769dfe3d0010a42b2e2a73b4d94145a
dc.identifier.orcid0000-0003-1470-4298
dc.identifier.orcid0000-0002-3765-5284
dc.identifier.orcid0000-0003-3429-4513
dc.identifier.orcid0000-0001-9369-1995
dc.identifier.scopus2-s2.0-85213472781
dc.identifier.startpage1
dc.identifier.urihttps://hdl.handle.net/20.500.12597/42350
dc.language.isoeng
dc.publisherInforma UK Limited
dc.relation.ispartofCurrent Issues in Tourism
dc.titlePredictors of citations: an analysis of highly-cited-papers in hospitality and tourism research using a machine learning approach
dc.typeArticle
dspace.entity.typePublication
local.import.sourceOpenAire
local.indexed.atScopus

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