Comparer des méthodes

	Analyse scientométrique de cartographie de domaine	Analyse par co-occurrence de mots
Domaine	Scientométrie	Scientométrie
Famille	Process / pipeline	Process / pipeline
Année d'origine	2000s (mature form); roots in 1960s-1970s scientometrics	1983
Auteur d'origine	Kevin Boyack, Richard Klavans, Katy Borner (field-level science mapping); broader tradition rooted in Derek de Solla Price and Henry Small	Michel Callon, Jean-Pierre Courtial, and colleagues
Type	Quantitative bibliometric analysis	Scientometric network analysis technique
Source fondatrice	Boyack, K. W., Klavans, R., & Borner, K. (2005). Mapping the backbone of science. Scientometrics, 64(3), 351-374.	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	science field mapping, research field delineation, scientometric field analysis, knowledge domain mapping	keyword co-occurrence analysis, co-word mapping, keyword co-word network, CWA
Apparentées	6	6
Résumé	Field-mapping scientometric analysis uses quantitative bibliometric techniques — co-citation, bibliographic coupling, co-authorship, and keyword co-occurrence — to delineate the intellectual structure and boundaries of a scientific field. By transforming large publication datasets into similarity networks and clustering them into research fronts and knowledge bases, it produces visual maps that reveal how subfields relate, where boundaries lie, and how the field evolves over time.	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.