Linganisha mbinu

	Uchoraji wa Ramani ya Sayansi kwa Msaada wa bibliometrix	Uchambuzi wa maneno-pamoja
Nyanja	Saintometriki	Saintometriki
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	2017	1983
Mwanzilishi	Massimo Aria & Corrado Cuccurullo (bibliometrix R package)	Michel Callon, Jean-Pierre Courtial, and colleagues
Aina	Computational bibliometric pipeline	Scientometric network analysis technique
Chanzo asilia	Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975.	Callon, M., Courtial, J. P., Turner, W. A., & Bauin, S. (1983). From translations to problematic networks: An introduction to co-word analysis. Social Science Information, 22(2), 191–235.
Majina mbadala	bibliometrix science mapping, R-based science mapping, bibliometrix bibliometric mapping, bibliometrix-driven knowledge mapping	keyword co-occurrence analysis, co-word mapping, keyword co-word network, CWA
Zinazohusiana	6	6
Muhtasari	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.	Co-word analysis is a scientometric technique that quantifies how often pairs of keywords, subject terms, or title words appear together across a corpus of publications. By treating simultaneous occurrence as a proxy for conceptual relatedness, it constructs networks and clusters that reveal the intellectual structure, dominant themes, and emerging sub-fields of a research domain.