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Analiza bibliometryczna w przekrojach czasowych×Analiza sprzężeń bibliograficznych×
DziedzinaNaukometriaBibliometria
RodzinaProcess / pipelineProcess / pipeline
Rok powstania2000s–2010s (as an explicit methodological variant)1963
TwórcaDerived from classical bibliometrics (Price, Garfield); explicitly formalised in longitudinal studies by Zhao & Strotmann (2008) and othersMelvin M. Kessler
TypQuantitative scientometric analysisMethod
Źródło pierwotneZhao, 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 ↗
Inne nazwylongitudinal bibliometrics, temporal bibliometric analysis, diachronic bibliometrics, time-window bibliometric analysisdocument coupling, bibliographic similarity
Pokrewne65
PodsumowanieTime-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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ScholarGatePorównaj metody: Time-sliced Bibliometric Analysis · Bibliographic Coupling. Pobrano 2026-06-18 z https://scholargate.app/pl/compare