Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Bibliometrix-Ondersteunde Thematische Evolutie-Analyse× | Bibliometrische Analyse× | |
|---|---|---|
| Vakgebied | Scientometrie | Scientometrie |
| Familie | Process / pipeline | Process / pipeline |
| Jaar van ontstaan≠ | 2017 (bibliometrix package); thematic evolution approach ~2011 | 1969 (term coined); practice dates to 1920s–1930s |
| Grondlegger≠ | Massimo Aria & Corrado Cuccurullo (bibliometrix package); thematic evolution method from Cobo et al. | Alan Pritchard (coined term); earlier quantitative work by Paul Otlet (1934) and S. C. Bradford (1934) |
| Type≠ | Computational scientometric workflow | Quantitative literature analysis |
| Oorspronkelijke bron≠ | Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975. DOI ↗ | Pritchard, A. (1969). Statistical bibliography or bibliometrics? Journal of Documentation, 25(4), 348–349. link ↗ |
| Aliassen | bibliometrix thematic map analysis, R-based thematic evolution analysis, bibliometrix strategic diagram analysis, thematic evolution analysis with bibliometrix | bibliometrics, bibliometric study, bibliometric mapping, publication analysis |
| Verwant | 6 | 6 |
| Samenvatting≠ | Bibliometrix-assisted thematic evolution analysis uses the bibliometrix R package to trace how research themes emerge, mature, decline, or transform across successive time periods within a scientific field. By combining co-word analysis with strategic diagram visualisation, the workflow maps the intellectual structure of a field and reveals longitudinal shifts in topic centrality and development, producing reproducible, publication-ready outputs within a single R environment. | 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. |
| ScholarGateGegevensset ↗ |
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