Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| VOSviewer-ondersteunde systematische literatuurreview× | Science Mapping× | |
|---|---|---|
| Vakgebied≠ | Scientometrie | Bibliometrie |
| Familie | Process / pipeline | Process / pipeline |
| Jaar van ontstaan≠ | 2010 (VOSviewer); practice established circa 2012–2015 | 2000s |
| Grondlegger≠ | van Eck & Waltman (VOSviewer tool); combined with Kitchenham SLR guidelines | Katy Börner, Chaomei Chen, and others |
| Type≠ | Mixed bibliometric-qualitative review method | Method |
| Oorspronkelijke bron≠ | van Eck, N.J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. DOI ↗ | Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179–255. DOI ↗ |
| Aliassen≠ | VOSviewer SLR, bibliometric-enhanced systematic review, VOSviewer-integrated review, visualization-assisted SLR | knowledge mapping, domain mapping, research landscape visualization |
| Verwant≠ | 6 | 5 |
| Samenvatting≠ | A VOSviewer-assisted systematic literature review combines the rigorous search-and-appraisal pipeline of a standard systematic review with bibliometric network visualization produced by the VOSviewer software. The approach allows researchers to systematically retrieve and screen the literature while simultaneously mapping co-citation clusters, keyword co-occurrence networks, and institutional collaboration patterns, yielding both a narrative synthesis and a visual, quantitative overview of the field's intellectual structure. | Science mapping is a bibliometric visualization method that creates visual representations of research domains, showing the structure, development, and relationships of scientific fields. Using bibliographic data (citations, keywords, authors, journals), science mapping algorithms generate network diagrams where nodes represent documents, concepts, or authors and edges represent relationships (citation, collaboration, semantic similarity). The resulting maps make invisible intellectual structures visible, enabling researchers to understand field topology, identify emerging areas, and navigate disciplinary landscapes. Pioneered by Börner, Chen, and Boyack in the 2000s, science mapping has become a standard tool in research evaluation and strategic planning. |
| ScholarGateGegevensset ↗ |
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