Compară metode

	Analiză Științometrică Asistată de bibliometrix	Analiza Co-cuvinte
Domeniu	Scientometrie	Scientometrie
Familie	Process / pipeline	Process / pipeline
Anul apariției	2017 (bibliometrix package); scientometrics as a field: 1969	1983
Autorul original	Massimo Aria & Corrado Cuccurullo (bibliometrix package); scientometrics founded by Derek J. de Solla Price	Michel Callon, Jean-Pierre Courtial, and colleagues
Tip	Quantitative literature analysis workflow	Scientometric network analysis technique
Sursa seminală	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.
Denumiri alternative	bibliometrix scientometrics, R-based scientometric analysis, bibliometrix workflow, science-of-science analysis with bibliometrix	keyword co-occurrence analysis, co-word mapping, keyword co-word network, CWA
Înrudite	5	6
Rezumat	bibliometrix-assisted scientometric analysis is a reproducible, R-based workflow that applies the bibliometrix package to analyse the structure and dynamics of scientific fields using publication metadata. It integrates descriptive statistics, citation metrics, and network analysis — co-citation, bibliographic coupling, co-authorship, and co-word — into a single scriptable environment, enabling systematic, transparent mapping of research landscapes at scale.	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.