Comparar métodos

	Análise Cienciométrica de Mapeamento de Campo	Science Mapping
Área	Cientometria	Bibliometria
Família	Process / pipeline	Process / pipeline
Ano de origem	2000s (mature form); roots in 1960s-1970s scientometrics	2000s
Autor original	Kevin Boyack, Richard Klavans, Katy Borner (field-level science mapping); broader tradition rooted in Derek de Solla Price and Henry Small	Katy Börner, Chaomei Chen, and others
Tipo	Quantitative bibliometric analysis	Method
Fonte seminal	Boyack, K. W., Klavans, R., & Borner, K. (2005). Mapping the backbone of science. Scientometrics, 64(3), 351-374.	Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179–255.
Outros nomes	science field mapping, research field delineation, scientometric field analysis, knowledge domain mapping	knowledge mapping, domain mapping, research landscape visualization
Relacionados	6	5
Resumo	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.	Science mapping is a bibliometric visualization method that creates visual representations of research domains, showing the structure, development, and relationships of scientific fields. Using bibliographic data (citations, keywords, authors, journals), science mapping algorithms generate network diagrams where nodes represent documents, concepts, or authors and edges represent relationships (citation, collaboration, semantic similarity). The resulting maps make invisible intellectual structures visible, enabling researchers to understand field topology, identify emerging areas, and navigate disciplinary landscapes. Pioneered by Börner, Chen, and Boyack in the 2000s, science mapping has become a standard tool in research evaluation and strategic planning.