Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Bibliometrix-Assisted Narrative Review× | Bibliometrische Analyse× | |
|---|---|---|
| Vakgebied | Scientometrie | Scientometrie |
| Familie | Process / pipeline | Process / pipeline |
| Jaar van ontstaan≠ | 2017 (bibliometrix package); narrative review methodology is older | 1969 (term coined); practice dates to 1920s–1930s |
| Grondlegger≠ | Aria & Cuccurullo (bibliometrix R package); narrative review as a traditional form predates this tool | Alan Pritchard (coined term); earlier quantitative work by Paul Otlet (1934) and S. C. Bradford (1934) |
| Type≠ | Mixed quantitative-qualitative review methodology | 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 narrative review, R-bibliometrix narrative synthesis, quantitative-assisted narrative review | bibliometrics, bibliometric study, bibliometric mapping, publication analysis |
| Verwant | 6 | 6 |
| Samenvatting≠ | A bibliometrix-assisted narrative review combines the quantitative field-mapping capabilities of the bibliometrix R package with the interpretive flexibility of a traditional narrative review. Bibliometric indicators — publication trends, author and country productivity, co-citation networks, keyword co-occurrence — are computed and visualised first to orient the reviewer, then a discursive, thematic narrative synthesises the intellectual content of key sources. The result is a structured yet flexible overview of a field that is more transparent and reproducible than a purely informal narrative. | 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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