Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Библиометрический анализ× | Картографирование науки (Science Mapping)× | |
|---|---|---|
| Область≠ | Наукометрия | Библиометрия |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1969 (term coined); practice dates to 1920s–1930s | 2000s |
| Автор метода≠ | Alan Pritchard (coined term); earlier quantitative work by Paul Otlet (1934) and S. C. Bradford (1934) | Katy Börner, Chaomei Chen, and others |
| Тип≠ | Quantitative literature analysis | Method |
| Основополагающий источник≠ | Pritchard, A. (1969). Statistical bibliography or bibliometrics? Journal of Documentation, 25(4), 348–349. link ↗ | Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179–255. DOI ↗ |
| Другие названия≠ | bibliometrics, bibliometric study, bibliometric mapping, publication analysis | knowledge mapping, domain mapping, research landscape visualization |
| Связанные≠ | 6 | 5 |
| Сводка≠ | 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. | Science mapping is a bibliometric visualization method that creates visual representations of research domains, showing the structure, development, and relationships of scientific fields. Using bibliographic data (citations, keywords, authors, journals), science mapping algorithms generate network diagrams where nodes represent documents, concepts, or authors and edges represent relationships (citation, collaboration, semantic similarity). The resulting maps make invisible intellectual structures visible, enabling researchers to understand field topology, identify emerging areas, and navigate disciplinary landscapes. Pioneered by Börner, Chen, and Boyack in the 2000s, science mapping has become a standard tool in research evaluation and strategic planning. |
| ScholarGateНабор данных ↗ |
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