Comparer des méthodes

	Revue systématique de la littérature assistée par VOSviewer	Revue systématique de la littérature
Domaine	Scientométrie	Scientométrie
Famille	Process / pipeline	Process / pipeline
Année d'origine	2010 (VOSviewer); practice established circa 2012–2015	1993 (Cochrane Collaboration); 2004 (Kitchenham SLR guidelines)
Auteur d'origine	van Eck & Waltman (VOSviewer tool); combined with Kitchenham SLR guidelines	Archie Cochrane (conceptual foundation); formalized by the Cochrane Collaboration (1993) and Barbara Kitchenham in software engineering (2004)
Type	Mixed bibliometric-qualitative review method	Evidence synthesis methodology
Source fondatrice	van Eck, N.J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538.	Kitchenham, B. (2004). Procedures for Performing Systematic Reviews. Keele University Technical Report TR/SE-0401.
Alias	VOSviewer SLR, bibliometric-enhanced systematic review, VOSviewer-integrated review, visualization-assisted SLR	SLR, systematic review, evidence synthesis review, structured literature review
Apparentées	6	5
Résumé	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.	A systematic literature review (SLR) is a structured, reproducible method for identifying, appraising, and synthesizing all relevant studies on a research question. Unlike a narrative review, it follows an explicit, pre-specified protocol — from database search strings through inclusion criteria to data extraction — so that the process is transparent, auditable, and replicable by other researchers. It is widely used in medicine, education, software engineering, and the social sciences to produce the most comprehensive possible evidence base on a topic.