Compară metode

	Analiză bibliometrică asistată de bibliometrix	Analiza Co-cuvinte
Domeniu	Scientometrie	Scientometrie
Familie	Process / pipeline	Process / pipeline
Anul apariției	2017	1983
Autorul original	Massimo Aria and Corrado Cuccurullo (bibliometrix R package)	Michel Callon, Jean-Pierre Courtial, and colleagues
Tip	Quantitative review method with software toolkit	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 bibliometric analysis, R-based bibliometric analysis, bibliometrix workflow, bibliometrix package analysis	keyword co-occurrence analysis, co-word mapping, keyword co-word network, CWA
Înrudite	6	6
Rezumat	bibliometrix-assisted bibliometric analysis is a structured quantitative approach to mapping a scientific field using the bibliometrix R package. Developed by Aria and Cuccurullo (2017), it provides an integrated environment for importing bibliographic records from Scopus or Web of Science, computing performance indicators, building co-authorship and citation networks, and generating thematic maps — all within a reproducible R or Shiny workflow.	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.