Comparar métodos

	Análisis Cienciométrico por Segmentos Temporales	Análisis de Co-palabras
Campo	Cienciometría	Cienciometría
Familia	Process / pipeline	Process / pipeline
Año de origen	1980s–1990s	1983
Autor original	Derived from scientometrics tradition; temporal slicing formalized in longitudinal bibliometric studies from the 1980s onward	Michel Callon, Jean-Pierre Courtial, and colleagues
Tipo	Quantitative longitudinal analysis	Scientometric network analysis technique
Fuente seminal	Small, H. (1999). Visualizing science by citation mapping. Journal of the American Society for Information Science, 50(9), 799-813.	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.
Alias	temporal scientometrics, period-based scientometric analysis, time-window scientometrics, longitudinal scientometric analysis	keyword co-occurrence analysis, co-word mapping, keyword co-word network, CWA
Relacionados	6	6
Resumen	Time-sliced scientometric analysis divides a bibliographic corpus into discrete temporal windows — commonly five- or ten-year periods — and applies standard scientometric indicators (publication counts, citation rates, h-index, collaboration networks, keyword co-occurrence) within each slice. By comparing results across slices, researchers can reconstruct how a scientific field has grown, shifted focus, formed new collaborations, or declined in influence over time. The approach combines the rigor of quantitative scientometrics with an explicit longitudinal dimension.	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.