Sammenlign metoder

	VOSviewer-Assisteret Co-citation Analyse	Science Mapping
Fagområde	Scientometri	Bibliometri
Familie	Process / pipeline	Process / pipeline
Oprindelsesår	1973 (co-citation); VOSviewer workflow from ~2010	2000s
Ophavsperson	Henry Small (co-citation, 1973); Nees Jan van Eck & Ludo Waltman (VOSviewer, 2010)	Katy Börner, Chaomei Chen, and others
Type	Bibliometric network analysis	Method
Oprindelig kilde	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.	Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179–255.
Aliasser	VOSviewer co-citation mapping, bibliometric co-citation visualization, co-citation network analysis with VOSviewer, CCA-VOSviewer	knowledge mapping, domain mapping, research landscape visualization
Relaterede	6	5
Resumé	VOSviewer-assisted co-citation analysis combines Henry Small's co-citation measure — counting how often two documents are jointly cited by later work — with VOSviewer's automated network construction and visual mapping capabilities. The result is a spatial map of the intellectual base of a research field, where documents that share many citing contexts cluster together, revealing foundational schools of thought and their relationships.	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.