Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Временно-сегментированный наукометрический анализ× | Библиометрический анализ× | |
|---|---|---|
| Область | Наукометрия | Наукометрия |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1980s–1990s | 1969 (term coined); practice dates to 1920s–1930s |
| Автор метода≠ | 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) |
| Тип≠ | Quantitative longitudinal analysis | Quantitative literature analysis |
| Основополагающий источник≠ | Small, 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 ↗ |
| Другие названия | temporal scientometrics, period-based scientometric analysis, time-window scientometrics, longitudinal scientometric analysis | bibliometrics, bibliometric study, bibliometric mapping, publication analysis |
| Связанные | 6 | 6 |
| Сводка≠ | 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. |
| ScholarGateНабор данных ↗ |
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