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VOSviewer-gestützte Analyse der thematischen Evolution×Bibliometrische Analyse×
FachgebietSzientometrieSzientometrie
FamilieProcess / pipelineProcess / pipeline
Entstehungsjahr2010–20111969 (term coined); practice dates to 1920s–1930s
UrheberNees Jan van Eck & Ludo Waltman (VOSviewer); thematic evolution methodology associated with Cobo et al.Alan Pritchard (coined term); earlier quantitative work by Paul Otlet (1934) and S. C. Bradford (1934)
TypScientometric workflow / bibliometric visualization pipelineQuantitative literature analysis
Wegweisende Quellevan Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. DOI ↗Pritchard, A. (1969). Statistical bibliography or bibliometrics? Journal of Documentation, 25(4), 348–349. link ↗
AliasnamenVOSviewer thematic mapping, keyword co-occurrence thematic evolution, science mapping thematic evolution, VOSviewer longitudinal thematic analysisbibliometrics, bibliometric study, bibliometric mapping, publication analysis
Verwandt66
ZusammenfassungVOSviewer-assisted thematic evolution analysis is a scientometric pipeline that uses the VOSviewer software to build keyword co-occurrence networks across chronological time slices of a bibliographic dataset, revealing how research themes emerge, converge, fragment, or disappear over time within a scientific field. By coupling VOSviewer's density-based clustering with period-by-period comparison, researchers obtain a visual and quantitative account of a field's intellectual trajectory.Bibliometric analysis applies statistical and mathematical methods to bibliographic records — publications, citations, authors, journals, and keywords — to measure and map the structure, output, and intellectual evolution of a research field. It is widely used to identify influential works, prolific authors, productive journals, collaboration networks, and emerging research themes across any academic discipline.
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ScholarGateMethoden vergleichen: VOSviewer-assisted thematic evolution analysis · Bibliometric Analysis. Abgerufen am 2026-06-18 von https://scholargate.app/de/compare