Linganisha mbinu

	Mapitio ya Kina ya Kifasihi kwa Usaidizi wa VOSviewer	Uchambuzi wa Kunukuliwa Pamoja
Nyanja	Saintometriki	Bibliometriki
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	2010 (VOSviewer); practice established circa 2012–2015	1973
Mwanzilishi	van Eck & Waltman (VOSviewer tool); combined with Kitchenham SLR guidelines	Henry Small
Aina	Mixed bibliometric-qualitative review method	Method
Chanzo asilia	van Eck, N.J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538.	Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science, 24(4), 265–269.
Majina mbadala	VOSviewer SLR, bibliometric-enhanced systematic review, VOSviewer-integrated review, visualization-assisted SLR	co-citation mapping, historiograph, direct citation, citation pair analysis
Zinazohusiana	6	5
Muhtasari	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.	Co-citation analysis is a method that identifies the intellectual structure of a research domain by examining how frequently pairs of documents are cited together in other publications. When two papers are frequently cited together in the literature, they are considered co-cited, indicating they are conceptually related or influential within the same research community. Developed by Henry Small in 1973, co-citation analysis maps the 'invisible colleges' of science—networks of researchers working on related problems—and reveals how knowledge domains evolve over time.