Salīdzināt metodes

	Bibliometrix-asistēta citēšanas analīze	Bibliometriskā analīze
Nozare	Zinātnometrija	Zinātnometrija
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	2017 (bibliometrix package); citation analysis since 1955	1969 (term coined); practice dates to 1920s–1930s
Autors	Massimo Aria & Corrado Cuccurullo (bibliometrix R package); citation analysis concepts from Eugene Garfield (1955)	Alan Pritchard (coined term); earlier quantitative work by Paul Otlet (1934) and S. C. Bradford (1934)
Tips	Quantitative bibliometric pipeline	Quantitative literature analysis
Pirmavots	Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975.	Pritchard, A. (1969). Statistical bibliography or bibliometrics? Journal of Documentation, 25(4), 348–349.
Citi nosaukumi	bibliometrix citation analysis, R-based citation analysis, bibliometrix CA, citation analysis with bibliometrix	bibliometrics, bibliometric study, bibliometric mapping, publication analysis
Saistītās	6	6
Kopsavilkums	Bibliometrix-assisted citation analysis uses the bibliometrix R package to systematically retrieve, clean, and analyze citation data exported from major databases such as Web of Science and Scopus. By automating reference parsing, frequency counting, and network construction, it enables researchers to identify the most-cited works, map intellectual influence, and trace the evolution of scholarly fields at a scale that manual analysis cannot match.	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.