Сравнение на методи
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| Анализ на цитирания с VOSviewer× | Анализ на съвместно цитиране× | |
|---|---|---|
| Област≠ | Наукометрия | Библиометрия |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 1955 (citation analysis); 2010 (VOSviewer software) | 1973 |
| Създател≠ | Eugene Garfield (citation analysis); Nees Jan van Eck & Ludo Waltman (VOSviewer) | Henry Small |
| Тип≠ | Bibliometric workflow | Method |
| Основополагащ източник≠ | van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. DOI ↗ | Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science, 24(4), 265–269. DOI ↗ |
| Други названия | citation analysis with VOSviewer, VOSviewer citation mapping, visual citation analysis, VOSviewer-based citation network analysis | co-citation mapping, historiograph, direct citation, citation pair analysis |
| Свързани≠ | 6 | 5 |
| Резюме≠ | VOSviewer-assisted citation analysis combines established citation analysis methodology with the visual mapping capabilities of VOSviewer, a free bibliometric software developed at Leiden University. Researchers export bibliographic records from databases such as Web of Science or Scopus, import them into VOSviewer, and generate citation networks that reveal which documents, authors, or journals are most influential and how intellectual influence flows across a field. | Co-citation analysis is a method that identifies the intellectual structure of a research domain by examining how frequently pairs of documents are cited together in other publications. When two papers are frequently cited together in the literature, they are considered co-cited, indicating they are conceptually related or influential within the same research community. Developed by Henry Small in 1973, co-citation analysis maps the 'invisible colleges' of science—networks of researchers working on related problems—and reveals how knowledge domains evolve over time. |
| ScholarGateНабор от данни ↗ |
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