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dc.contributor.authorSaier, Tarek-
dc.contributor.authorFärber, Michael-
dc.contributor.authorTsereteli, Tornike-
dc.date.accessioned2023-04-14T13:04:48Z-
dc.date.available2023-04-14T13:04:48Z-
dc.date.issued2021de
dc.identifier.issn1432-5012-
dc.identifier.issn1432-1300-
dc.identifier.other1843484552-
dc.identifier.urihttp://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-129653de
dc.identifier.urihttp://elib.uni-stuttgart.de/handle/11682/12965-
dc.identifier.urihttp://dx.doi.org/10.18419/opus-12946-
dc.description.abstractCitation information in scholarly data is an important source of insight into the reception of publications and the scholarly discourse. Outcomes of citation analyses and the applicability of citation-based machine learning approaches heavily depend on the completeness of such data. One particular shortcoming of scholarly data nowadays is that non-English publications are often not included in data sets, or that language metadata is not available. Because of this, citations between publications of differing languages (cross-lingual citations) have only been studied to a very limited degree. In this paper, we present an analysis of cross-lingual citations based on over one million English papers, spanning three scientific disciplines and a time span of three decades. Our investigation covers differences between cited languages and disciplines, trends over time, and the usage characteristics as well as impact of cross-lingual citations. Among our findings are an increasing rate of citations to publications written in Chinese, citations being primarily to local non-English languages, and consistency in citation intent between cross- and monolingual citations. To facilitate further research, we make our collected data and source code publicly available.en
dc.description.sponsorshipProjekt DEALde
dc.language.isoende
dc.relation.uridoi:10.1007/s00799-021-00312-zde
dc.rightsinfo:eu-repo/semantics/openAccessde
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/de
dc.subject.ddc004de
dc.subject.ddc400de
dc.titleCross-lingual citations in English papers : a large-scale analysis of prevalence, usage, and impacten
dc.typearticlede
dc.date.updated2023-03-24T19:05:27Z-
ubs.fakultaetInformatik, Elektrotechnik und Informationstechnikde
ubs.fakultaetFakultätsübergreifend / Sonstige Einrichtungde
ubs.institutInstitut für Maschinelle Sprachverarbeitungde
ubs.institutFakultätsübergreifend / Sonstige Einrichtungde
ubs.publikation.seiten179-195de
ubs.publikation.sourceInternational journal on digital libraries 23 (2022), S. 179-195de
ubs.publikation.typZeitschriftenartikelde
Enthalten in den Sammlungen:05 Fakultät Informatik, Elektrotechnik und Informationstechnik

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