Võrdle meetodeid

	Bibliomeetriline analüüs	Teaduskaartide loomine
Valdkond	Stsientomeetria	Bibliomeetria
Perekond	Process / pipeline	Process / pipeline
Tekkeaasta	1969 (term coined); practice dates to 1920s–1930s	2000s
Looja	Alan Pritchard (coined term); earlier quantitative work by Paul Otlet (1934) and S. C. Bradford (1934)	Katy Börner, Chaomei Chen, and others
Tüüp	Quantitative literature analysis	Method
Algallikas	Pritchard, A. (1969). Statistical bibliography or bibliometrics? Journal of Documentation, 25(4), 348–349.	Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179–255.
Rööpnimetused	bibliometrics, bibliometric study, bibliometric mapping, publication analysis	knowledge mapping, domain mapping, research landscape visualization
Seotud	6	5
Kokkuvõte	Bibliometric analysis applies statistical and mathematical methods to bibliographic records — publications, citations, authors, journals, and keywords — to measure and map the structure, output, and intellectual evolution of a research field. It is widely used to identify influential works, prolific authors, productive journals, collaboration networks, and emerging research themes across any academic discipline.	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.