Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Žurnālu kopcitēšanas analīze× | Kopcitēšanas analīze× | |
|---|---|---|
| Nozare | Bibliometrija | Bibliometrija |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1981 | 1973 |
| Autors≠ | Henry Small, Henry White, and others | Henry Small |
| Tips | Method | Method |
| Pirmavots≠ | White, H. D., & Griffith, B. C. (1981). Author co-citation: A literature measure of intellectual structure. Journal of the American Society for Information Science, 32(3), 163–171. 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 ↗ |
| Citi nosaukumi≠ | journal citation mapping, journal network analysis, cited source co-citation | co-citation mapping, historiograph, direct citation, citation pair analysis |
| Saistītās≠ | 4 | 5 |
| Kopsavilkums≠ | Journal co-citation analysis is a bibliometric method that maps the intellectual structure of a research field by analyzing how frequently pairs of journals are cited together in the same papers. Two journals are co-cited when papers cite both journals, indicating that the journals are perceived as intellectually related by the citing authors. This extension of paper-level co-citation analysis to the journal level reveals the topological structure of journal relationships, disciplinary boundaries, and the role of different journals within research communities. | 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. |
| ScholarGateDatu kopa ↗ |
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