Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Библиометрический анализ цитирования с помощью Bibliometrix× | Сцинтиометрический анализ× | |
|---|---|---|
| Область | Наукометрия | Наукометрия |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 2017 (bibliometrix package); citation analysis since 1955 | 1969 (term); 1963 (Price's foundational work) |
| Автор метода≠ | Massimo Aria & Corrado Cuccurullo (bibliometrix R package); citation analysis concepts from Eugene Garfield (1955) | V. V. Nalimov and Z. M. Mulchenko (term coined); Derek J. de Solla Price (foundational methods) |
| Тип≠ | Quantitative bibliometric pipeline | Quantitative literature analysis |
| Основополагающий источник≠ | Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. 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 | bibliometrix citation analysis, R-based citation analysis, bibliometrix CA, citation analysis with bibliometrix | scientometrics, science of science, quantitative science studies, research evaluation analysis |
| Связанные | 6 | 6 |
| Сводка≠ | Bibliometrix-assisted citation analysis uses the bibliometrix R package to systematically retrieve, clean, and analyze citation data exported from major databases such as Web of Science and Scopus. By automating reference parsing, frequency counting, and network construction, it enables researchers to identify the most-cited works, map intellectual influence, and trace the evolution of scholarly fields at a scale that manual analysis cannot match. | 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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