Vertaile menetelmiä

	Aikaviipaleinen tieteellinen analyysi – tieteen seuranta aikajaksojen yli	Bibliometrian analyysi
Tieteenala	Scientometriikka	Scientometriikka
Menetelmäperhe	Process / pipeline	Process / pipeline
Syntyvuosi	1980s–1990s	1969 (term coined); practice dates to 1920s–1930s
Kehittäjä	Derived from scientometrics tradition; temporal slicing formalized in longitudinal bibliometric studies from the 1980s onward	Alan Pritchard (coined term); earlier quantitative work by Paul Otlet (1934) and S. C. Bradford (1934)
Tyyppi	Quantitative longitudinal analysis	Quantitative literature analysis
Alkuperäislähde	Small, H. (1999). Visualizing science by citation mapping. Journal of the American Society for Information Science, 50(9), 799-813.	Pritchard, A. (1969). Statistical bibliography or bibliometrics? Journal of Documentation, 25(4), 348–349.
Rinnakkaisnimet	temporal scientometrics, period-based scientometric analysis, time-window scientometrics, longitudinal scientometric analysis	bibliometrics, bibliometric study, bibliometric mapping, publication analysis
Liittyvät	6	6
Tiivistelmä	Time-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.