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Sprzężenie bibliograficzne w przekrojach czasowych×Analiza współcytowań×
DziedzinaNaukometriaBibliometria
RodzinaProcess / pipelineProcess / pipeline
Rok powstania1963 (base method); time-sliced variant widely adopted 1990s–2000s1973
TwórcaMorton M. Kessler (bibliographic coupling); time-sliced extension by various scientometriciansHenry Small
TypLongitudinal bibliometric network analysisMethod
Źródło pierwotneKessler, M. M. (1963). Bibliographic coupling between scientific papers. American Documentation, 14(1), 10–25. DOI ↗Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science, 24(4), 265–269. DOI ↗
Inne nazwylongitudinal bibliographic coupling, temporal bibliographic coupling, diachronic bibliographic coupling, time-window bibliographic couplingco-citation mapping, historiograph, direct citation, citation pair analysis
Pokrewne65
PodsumowanieTime-sliced bibliographic coupling divides a publication corpus into successive time windows and applies bibliographic coupling analysis within each window to track how research fronts emerge, shift, merge, or disappear across time. It transforms a static snapshot technique into a longitudinal tool for mapping the intellectual evolution of a scientific field, revealing when and how new thematic clusters appear in the literature.Co-citation analysis is a method that identifies the intellectual structure of a research domain by examining how frequently pairs of documents are cited together in other publications. When two papers are frequently cited together in the literature, they are considered co-cited, indicating they are conceptually related or influential within the same research community. Developed by Henry Small in 1973, co-citation analysis maps the 'invisible colleges' of science—networks of researchers working on related problems—and reveals how knowledge domains evolve over time.
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ScholarGatePorównaj metody: Time-sliced Bibliographic coupling · Co-Citation Analysis. Pobrano 2026-06-18 z https://scholargate.app/pl/compare