Comparar métodos

	Análisis de Co-palabras	Análisis Cienciométrico
Campo	Cienciometría	Cienciometría
Familia	Process / pipeline	Process / pipeline
Año de origen	1983	1969 (term); 1963 (Price's foundational work)
Autor original	Michel Callon, Jean-Pierre Courtial, and colleagues	V. V. Nalimov and Z. M. Mulchenko (term coined); Derek J. de Solla Price (foundational methods)
Tipo	Scientometric network analysis technique	Quantitative literature analysis
Fuente seminal	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.	Nalimov, V. V., & Mulchenko, Z. M. (1969). Naukometriya: Izucheniye razvitiya nauki kak informatsionnogo protsessa [Scientometrics: The Study of the Development of Science as an Information Process]. Nauka.
Alias	keyword co-occurrence analysis, co-word mapping, keyword co-word network, CWA	scientometrics, science of science, quantitative science studies, research evaluation analysis
Relacionados	6	6
Resumen	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.	Scientometric analysis applies statistical and computational methods to publication and citation data to measure the growth, structure, and impact of scientific fields. Drawing on databases such as Web of Science, Scopus, or OpenAlex, it quantifies output trends, identifies leading authors and institutions, maps intellectual networks, and evaluates research impact — transforming large bibliographic corpora into evidence-based portraits of how knowledge develops and spreads.