Bandingkan kaedah

	Analisis Bibliometrik	Pemetaan Sains
Bidang	Saintometrik	Bibliometrik
Keluarga	Process / pipeline	Process / pipeline
Tahun asal	1969 (term coined); practice dates to 1920s–1930s	2000s
Pengasas	Alan Pritchard (coined term); earlier quantitative work by Paul Otlet (1934) and S. C. Bradford (1934)	Katy Börner, Chaomei Chen, and others
Jenis	Quantitative literature analysis	Method
Sumber perintis	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.
Alias	bibliometrics, bibliometric study, bibliometric mapping, publication analysis	knowledge mapping, domain mapping, research landscape visualization
Berkaitan	6	5
Ringkasan	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.