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Vremenski podijeljena bibliometrijska analiza×Analiza bibliografijskog sprezanja×
PodručjeScientometrijaBibliometrija
ObiteljProcess / pipelineProcess / pipeline
Godina nastanka2000s–2010s (as an explicit methodological variant)1963
TvoracDerived from classical bibliometrics (Price, Garfield); explicitly formalised in longitudinal studies by Zhao & Strotmann (2008) and othersMelvin M. Kessler
VrstaQuantitative scientometric analysisMethod
Temeljni izvorZhao, D., & Strotmann, A. (2008). Evolution of research activities and intellectual influences in information science 1996–2005: Introducing author bibliographic-coupling analysis. Journal of the American Society for Information Science and Technology, 59(13), 2070–2086. DOI ↗Kessler, M. M. (1963). Bibliographic coupling between scientific papers. American Documentation, 14(3), 123–131. DOI ↗
Drugi nazivilongitudinal bibliometrics, temporal bibliometric analysis, diachronic bibliometrics, time-window bibliometric analysisdocument coupling, bibliographic similarity
Srodne65
SažetakTime-sliced bibliometric analysis partitions a literature corpus into consecutive time windows and applies standard bibliometric indicators (publication counts, citation patterns, co-authorship networks, keyword frequencies) within each window. By comparing results across slices, researchers can document how a field's productivity, intellectual structure, and thematic focus have shifted over time — providing a diachronic rather than static view of scholarly output.Bibliographic coupling is a method that identifies intellectual relationships between documents by measuring their shared references. Two papers are considered 'coupled' when they cite the same sources, indicating they address related research questions or draw from the same conceptual foundations. Introduced by Kessler in 1963, this approach enables researchers to map knowledge domains and discover thematically similar publications without relying on subject cataloging or keywords.
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ScholarGateUsporedite metode: Time-sliced Bibliometric Analysis · Bibliographic Coupling. Preuzeto 2026-06-18 s https://scholargate.app/hr/compare