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תחוםסיינטומטריהסיינטומטריה
משפחהProcess / pipelineProcess / pipeline
שנת המקור1980s–1990s1969 (term coined); practice dates to 1920s–1930s
הוגה השיטהDerived from scientometrics tradition; temporal slicing formalized in longitudinal bibliometric studies from the 1980s onwardAlan Pritchard (coined term); earlier quantitative work by Paul Otlet (1934) and S. C. Bradford (1934)
סוגQuantitative longitudinal analysisQuantitative literature analysis
מקור מכונןSmall, H. (1999). Visualizing science by citation mapping. Journal of the American Society for Information Science, 50(9), 799-813. link ↗Pritchard, A. (1969). Statistical bibliography or bibliometrics? Journal of Documentation, 25(4), 348–349. link ↗
כינוייםtemporal scientometrics, period-based scientometric analysis, time-window scientometrics, longitudinal scientometric analysisbibliometrics, bibliometric study, bibliometric mapping, publication analysis
קשורות66
תקצירTime-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.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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ScholarGateהשוואת שיטות: Time-sliced Scientometric Analysis · Bibliometric Analysis. אוחזר בתאריך 2026-06-18 מתוך https://scholargate.app/he/compare