Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Анализ временных срезов тематической эволюции× | Сцинтиометрический анализ× | |
|---|---|---|
| Область | Наукометрия | Наукометрия |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 2011–2012 | 1969 (term); 1963 (Price's foundational work) |
| Автор метода≠ | Cobo, López-Herrera, Herrera-Viedma & Herrera | V. V. Nalimov and Z. M. Mulchenko (term coined); Derek J. de Solla Price (foundational methods) |
| Тип≠ | Longitudinal bibliometric analysis | Quantitative literature analysis |
| Основополагающий источник≠ | Cobo, M. J., López-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 ↗ | Nalimov, V. V., & Mulchenko, Z. M. (1969). Naukometriya: Izucheniye razvitiya nauki kak informatsionnogo protsessa [Scientometrics: The Study of the Development of Science as an Information Process]. Nauka. link ↗ |
| Другие названия | longitudinal thematic mapping, temporal thematic evolution, time-period thematic analysis, diachronic science mapping | scientometrics, science of science, quantitative science studies, research evaluation analysis |
| Связанные | 6 | 6 |
| Сводка≠ | Time-sliced thematic evolution analysis is a bibliometric method that divides a corpus of publications into consecutive time windows and tracks how research themes emerge, consolidate, split, merge, or disappear across those periods. By applying co-word analysis and strategic-diagram mapping within each slice and then linking themes across slices, it reveals the intellectual trajectory of a research field over time. | Scientometric analysis applies statistical and computational methods to publication and citation data to measure the growth, structure, and impact of scientific fields. Drawing on databases such as Web of Science, Scopus, or OpenAlex, it quantifies output trends, identifies leading authors and institutions, maps intellectual networks, and evaluates research impact — transforming large bibliographic corpora into evidence-based portraits of how knowledge develops and spreads. |
| ScholarGateНабор данных ↗ |
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