Сравнение методов

	Систематический обзор литературы с помощью VOSviewer	Картографирование науки (Science Mapping)
Область	Наукометрия	Библиометрия
Семейство	Process / pipeline	Process / pipeline
Год появления	2010 (VOSviewer); practice established circa 2012–2015	2000s
Автор метода	van Eck & Waltman (VOSviewer tool); combined with Kitchenham SLR guidelines	Katy Börner, Chaomei Chen, and others
Тип	Mixed bibliometric-qualitative review method	Method
Основополагающий источник	van Eck, N.J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538.	Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179–255.
Другие названия	VOSviewer SLR, bibliometric-enhanced systematic review, VOSviewer-integrated review, visualization-assisted SLR	knowledge mapping, domain mapping, research landscape visualization
Связанные	6	5
Сводка	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.