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Analisi Scientometrica a Fette Temporali×Analisi dell'evoluzione tematica×
CampoScientometriaScientometria
FamigliaProcess / pipelineProcess / pipeline
Anno di origine1980s–1990s2011
IdeatoreDerived from scientometrics tradition; temporal slicing formalized in longitudinal bibliometric studies from the 1980s onwardManuel J. Cobo and colleagues (University of Granada)
TipoQuantitative longitudinal analysisQuantitative bibliometric technique
Fonte seminaleSmall, H. (1999). Visualizing science by citation mapping. Journal of the American Society for Information Science, 50(9), 799-813. link ↗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 ↗
Aliastemporal scientometrics, period-based scientometric analysis, time-window scientometrics, longitudinal scientometric analysisTEA, thematic development analysis, temporal thematic mapping, longitudinal theme analysis
Correlati66
SintesiTime-sliced scientometric analysis divides a bibliographic corpus into discrete temporal windows — commonly five- or ten-year periods — and applies standard scientometric indicators (publication counts, citation rates, h-index, collaboration networks, keyword co-occurrence) within each slice. By comparing results across slices, researchers can reconstruct how a scientific field has grown, shifted focus, formed new collaborations, or declined in influence over time. The approach combines the rigor of quantitative scientometrics with an explicit longitudinal dimension.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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ScholarGateConfronta i metodi: Time-sliced Scientometric Analysis · Thematic Evolution Analysis. Consultato il 2026-06-17 da https://scholargate.app/it/compare