Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Mapitio ya mfumo wa fasihi kwa msaada wa bibliometrix× | Mapitio ya Kina ya Kifasihi kwa Usaidizi wa VOSviewer× | |
|---|---|---|
| Nyanja | Saintometriki | Saintometriki |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 2017 | 2010 (VOSviewer); practice established circa 2012–2015 |
| Mwanzilishi≠ | Massimo Aria & Corrado Cuccurullo (bibliometrix R package) | van Eck & Waltman (VOSviewer tool); combined with Kitchenham SLR guidelines |
| Aina≠ | Software-assisted systematic review | Mixed bibliometric-qualitative review method |
| Chanzo asilia≠ | Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. DOI ↗ | van Eck, N.J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. DOI ↗ |
| Majina mbadala | bibliometrix SLR, R-bibliometrix systematic review, bibliometrix-based literature review, bibliometrix-enhanced SLR | VOSviewer SLR, bibliometric-enhanced systematic review, VOSviewer-integrated review, visualization-assisted SLR |
| Zinazohusiana | 6 | 6 |
| Muhtasari≠ | A bibliometrix-assisted systematic literature review integrates the R package bibliometrix — developed by Aria and Cuccurullo (2017) — into the standard systematic review pipeline to automate and visualize bibliometric performance and science-mapping analyses. It combines the transparency and reproducibility of a protocol-driven systematic search with quantitative tools for tracking publication trends, author collaboration networks, keyword co-occurrence, and thematic evolution across a field. | 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. |
| ScholarGateSeti ya data ↗ |
|
|