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| Analiza scientometryczna w podziale na okresy czasowe× | Analiza ewolucji tematycznej× | |
|---|---|---|
| Dziedzina | Naukometria | Naukometria |
| Rodzina | Process / pipeline | Process / pipeline |
| Rok powstania≠ | 1980s–1990s | 2011 |
| Twórca≠ | Derived from scientometrics tradition; temporal slicing formalized in longitudinal bibliometric studies from the 1980s onward | Manuel J. Cobo and colleagues (University of Granada) |
| Typ≠ | Quantitative longitudinal analysis | Quantitative bibliometric technique |
| Źródło pierwotne≠ | Small, 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 ↗ |
| Inne nazwy | temporal scientometrics, period-based scientometric analysis, time-window scientometrics, longitudinal scientometric analysis | TEA, thematic development analysis, temporal thematic mapping, longitudinal theme analysis |
| Pokrewne | 6 | 6 |
| Podsumowanie≠ | 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. | 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. |
| ScholarGateZbiór danych ↗ |
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