Uma análise cienciométrica das subáreas da ciência da computação

Detalhes bibliográficos
Ano de defesa: 2013
Autor(a) principal: Braga, Adriano Honorato lattes
Orientador(a): Rosa, Thierson Couto lattes
Banca de defesa: Rosa, Thierson Couto, Meneses, Cláudio Nogueira de, Longo, Humberto José
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Goiás
Programa de Pós-Graduação: Programa de Pós-graduação em Ciência da Computação (INF)
Departamento: Instituto de Informática - INF (RG)
País: Brasil
Palavras-chave em Português:
ACM
Palavras-chave em Inglês:
ACM
Área do conhecimento CNPq:
Link de acesso: http://repositorio.bc.ufg.br/tede/handle/tede/3772
Resumo: Scientific studies about bibliographic productions in specific areas of science are becoming common, mainly in the last decade. Such investigations usually make use of bibliometric indices to evaluate relevance of the actors that take part in scientific production process, such as: authors, institutions, venues, and subfields of the scientific area being considered. Many studies have investigated the scientific production in computer science under different views. In this work, its presented an analysis about the production of scientific article in computer science and an analysis of citations among subfields, derived from article citation network. The work present novelty not only because it considers many common sense fields in computer science, but also because it presents citation related measures chronologically. The following bibliometric measures were used: number of publications in each subfield, number of citations received by a subfield, Impact Factor, PageRank, and a measure of diversity of subfields that cite a given subfield. Most of those metrics were proposed to study articles, web pages or scientific journals and they had to be adapted to be applied to the subfield analysis. This work has derived many interesting information to computer science community. It presents an historical evolution of the computer science subfields, showing how interest in publishing in subfields and how citations among subfields have evolved during the years. Some trends are revealed, some patterns are recognized to be stable along the time and some subfields are becoming less attractive than others.