Salīdzināt metodes

	Bibliometriskā zinātnes kartēšana ar bibliometrix	Zinātnes kartēšana
Nozare	Zinātnometrija	Bibliometrija
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	2017	2000s
Autors	Massimo Aria & Corrado Cuccurullo (bibliometrix R package)	Katy Börner, Chaomei Chen, and others
Tips	Computational bibliometric pipeline	Method
Pirmavots	Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975.	Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179–255.
Citi nosaukumi	bibliometrix science mapping, R-based science mapping, bibliometrix bibliometric mapping, bibliometrix-driven knowledge mapping	knowledge mapping, domain mapping, research landscape visualization
Saistītās	6	5
Kopsavilkums	bibliometrix-assisted science mapping is a computational approach that uses the bibliometrix R package to retrieve, clean, and analyze large bibliographic datasets, producing structured visual maps of how knowledge in a field is organized, interconnected, and evolving over time. It combines descriptive bibliometrics with network analysis and strategic clustering techniques to reveal intellectual structure, thematic frontiers, and influential actors in a research domain.	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.