Salīdzināt metodes

	Zinātnes kartēšana	Bibliographic Coupling Analysis
Nozare	Bibliometrija	Bibliometrija
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	2000s	1963
Autors	Katy Börner, Chaomei Chen, and others	Melvin M. Kessler
Tips	Method	Method
Pirmavots	Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179–255.	Kessler, M. M. (1963). Bibliographic coupling between scientific papers. American Documentation, 14(3), 123–131.
Citi nosaukumi	knowledge mapping, domain mapping, research landscape visualization	document coupling, bibliographic similarity
Saistītās	5	5
Kopsavilkums	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.	Bibliographic coupling is a method that identifies intellectual relationships between documents by measuring their shared references. Two papers are considered 'coupled' when they cite the same sources, indicating they address related research questions or draw from the same conceptual foundations. Introduced by Kessler in 1963, this approach enables researchers to map knowledge domains and discover thematically similar publications without relying on subject cataloging or keywords.