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Zeitlich segmentierte bibliographische Kopplung×Thematische Evolutionsanalyse×
FachgebietSzientometrieSzientometrie
FamilieProcess / pipelineProcess / pipeline
Entstehungsjahr1963 (base method); time-sliced variant widely adopted 1990s–2000s2011
UrheberMorton M. Kessler (bibliographic coupling); time-sliced extension by various scientometriciansManuel J. Cobo and colleagues (University of Granada)
TypLongitudinal bibliometric network analysisQuantitative bibliometric technique
Wegweisende QuelleKessler, M. M. (1963). Bibliographic coupling between scientific papers. American Documentation, 14(1), 10–25. DOI ↗Cobo, M. J., Lopez-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382–1402. DOI ↗
Aliasnamenlongitudinal bibliographic coupling, temporal bibliographic coupling, diachronic bibliographic coupling, time-window bibliographic couplingTEA, thematic development analysis, temporal thematic mapping, longitudinal theme analysis
Verwandt66
ZusammenfassungTime-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.Thematic evolution analysis is a bibliometric technique that divides a body of literature into consecutive time periods and tracks how research themes emerge, consolidate, split, merge, or disappear across those periods. By combining co-word analysis, clustering, and strategic diagrams for each time slice, it produces a dynamic picture of a field's intellectual development rather than a static snapshot.
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ScholarGateMethoden vergleichen: Time-sliced Bibliographic coupling · Thematic Evolution Analysis. Abgerufen am 2026-06-18 von https://scholargate.app/de/compare