Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Анализ цитирования с разбивкой по времени× | Сцинтиометрический анализ× | |
|---|---|---|
| Область | Наукометрия | Наукометрия |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1955–1965 (foundational); temporal slicing formalized in scientometrics from the 1980s onward | 1969 (term); 1963 (Price's foundational work) |
| Автор метода≠ | Eugene Garfield (citation analysis foundation); Derek J. de Solla Price (temporal/longitudinal framing) | V. V. Nalimov and Z. M. Mulchenko (term coined); Derek J. de Solla Price (foundational methods) |
| Тип≠ | Quantitative scientometric technique | Quantitative literature analysis |
| Основополагающий источник≠ | Garfield, E. (1955). Citation indexes for science: A new dimension in documentation through association of ideas. Science, 122(3159), 108–111. 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 | temporal citation analysis, longitudinal citation analysis, time-window citation analysis, diachronic citation analysis | scientometrics, science of science, quantitative science studies, research evaluation analysis |
| Связанные | 6 | 6 |
| Сводка≠ | Time-sliced citation analysis partitions a body of literature into sequential temporal windows — for example, five-year intervals — and performs citation analysis within and across each window. This reveals how citation patterns, influential papers, and knowledge flows shift over time, providing a dynamic picture of a field's intellectual evolution rather than a static aggregate snapshot. | 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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