विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| Journal Co-Citation Analysis× | सह-उद्धरण विश्लेषण× | |
|---|---|---|
| क्षेत्र | ग्रंथमिति | ग्रंथमिति |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 1981 | 1973 |
| प्रवर्तक≠ | Henry Small, Henry White, and others | Henry Small |
| प्रकार | Method | Method |
| मौलिक स्रोत≠ | 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 ↗ |
| उपनाम≠ | journal citation mapping, journal network analysis, cited source co-citation | co-citation mapping, historiograph, direct citation, citation pair analysis |
| संबंधित≠ | 4 | 5 |
| सारांश≠ | 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. |
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