Сравнение на методи
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| Наукометричен анализ на картографиране на области× | Библиометричен анализ× | |
|---|---|---|
| Област | Наукометрия | Наукометрия |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 2000s (mature form); roots in 1960s-1970s scientometrics | 1969 (term coined); practice dates to 1920s–1930s |
| Създател≠ | Kevin Boyack, Richard Klavans, Katy Borner (field-level science mapping); broader tradition rooted in Derek de Solla Price and Henry Small | Alan Pritchard (coined term); earlier quantitative work by Paul Otlet (1934) and S. C. Bradford (1934) |
| Тип≠ | Quantitative bibliometric analysis | Quantitative literature analysis |
| Основополагащ източник≠ | Boyack, K. W., Klavans, R., & Borner, K. (2005). Mapping the backbone of science. Scientometrics, 64(3), 351-374. DOI ↗ | Pritchard, A. (1969). Statistical bibliography or bibliometrics? Journal of Documentation, 25(4), 348–349. link ↗ |
| Други названия | science field mapping, research field delineation, scientometric field analysis, knowledge domain mapping | bibliometrics, bibliometric study, bibliometric mapping, publication analysis |
| Свързани | 6 | 6 |
| Резюме≠ | 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. | 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. |
| ScholarGateНабор от данни ↗ |
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