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| Tieteenalojen kartoittava tieteellinen analyysi× | Yhteisviittausanalyysi× | |
|---|---|---|
| Tieteenala≠ | Scientometriikka | Bibliometriikka |
| Menetelmäperhe | Process / pipeline | Process / pipeline |
| Syntyvuosi≠ | 2000s (mature form); roots in 1960s-1970s scientometrics | 1973 |
| Kehittäjä≠ | Kevin Boyack, Richard Klavans, Katy Borner (field-level science mapping); broader tradition rooted in Derek de Solla Price and Henry Small | Henry Small |
| Tyyppi≠ | Quantitative bibliometric analysis | Method |
| Alkuperäislähde≠ | Boyack, K. W., Klavans, R., & Borner, K. (2005). Mapping the backbone of science. Scientometrics, 64(3), 351-374. 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 ↗ |
| Rinnakkaisnimet | science field mapping, research field delineation, scientometric field analysis, knowledge domain mapping | co-citation mapping, historiograph, direct citation, citation pair analysis |
| Liittyvät≠ | 6 | 5 |
| Tiivistelmä≠ | Field-mapping scientometric analysis uses quantitative bibliometric techniques — co-citation, bibliographic coupling, co-authorship, and keyword co-occurrence — to delineate the intellectual structure and boundaries of a scientific field. By transforming large publication datasets into similarity networks and clustering them into research fronts and knowledge bases, it produces visual maps that reveal how subfields relate, where boundaries lie, and how the field evolves over time. | 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. |
| ScholarGateAineisto ↗ |
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