Compara mètodes

	Anàlisi cienciomètrica de mapeig de camps	Anàlisi Cientomètrica
Camp	Cienciometria	Cienciometria
Família	Process / pipeline	Process / pipeline
Any d'origen	2000s (mature form); roots in 1960s-1970s scientometrics	1969 (term); 1963 (Price's foundational work)
Autor original	Kevin Boyack, Richard Klavans, Katy Borner (field-level science mapping); broader tradition rooted in Derek de Solla Price and Henry Small	V. V. Nalimov and Z. M. Mulchenko (term coined); Derek J. de Solla Price (foundational methods)
Tipus	Quantitative bibliometric analysis	Quantitative literature analysis
Font seminal	Boyack, K. W., Klavans, R., & Borner, K. (2005). Mapping the backbone of science. Scientometrics, 64(3), 351-374.	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.
Àlies	science field mapping, research field delineation, scientometric field analysis, knowledge domain mapping	scientometrics, science of science, quantitative science studies, research evaluation analysis
Relacionats	6	6
Resum	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.	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.