Domain Analysis in Information Science: an analysis of the international scientific production

Authors

  • José Augusto Chaves Guimarães Departamento de Ciência da Informação, Universidade Estadual Paulista
  • Daniel Martínez-Ávila Departamento de Ciência da Informação, Universidade Estadual Paulista
  • Amanda Martins de Oliveira Departamento de Ciência da Informação, Universidade Estadual Paulista
  • Pedro Henrique Carvalho Gomes Departamento de Ciência da Informação, Universidade Estadual Paulista

DOI:

https://doi.org/10.54886/scire.v1i2.4445

Keywords:

Domain analysis, Epistemic communities, Knowledge organization

Abstract

The presence of domain analysis in the international literature on Information Science in the databases Scopus, LISA and Web of Science is analysed for the period 1995-2016. In order to achieve this, we conduct a domain analysis, and more specifically its bibliometric approach (Hjørland, 2002), of aspects related to authors, scientific venues, most productive periods, as well as the most cited authors, in order to identify how the epistemic communities of this domain are conformed (Meyer & Molyneux-Hodgson, 2010). The results show that this has been a prolific topic in the area, with a considerable growth of publications in the last decade, and published in the most important scientific journals in the area, namely Knowledge Organization, Scientometrics, JASIST, Journal of Documentation, and Information Processing & Management. The analysis of the theoretical references revealed an elite of 64 authors, in which research topics related to knowledge organization and metric studies in information stand out, revealing the articulation of two important approaches to domain analysis by Hjørland. This author is also revealed as the most cited author by far, and a central actor in this subject, as he was also its founder in Information Science two decades ago.

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Author Biography

Daniel Martínez-Ávila, Departamento de Ciência da Informação, Universidade Estadual Paulista

Av. Higyno Muzzi Filho, 737, Marília (17525-900) – São Paulo – Brazil

Published

2017-09-15

How to Cite

Guimarães, J. A. C., Martínez-Ávila, D., Oliveira, A. M. de, & Gomes, P. H. C. (2017). Domain Analysis in Information Science: an analysis of the international scientific production. Scire: Knowledge Representation and Organization (ISSNe 2340-7042; ISSN 1135-3716), 1(2), 37–43. https://doi.org/10.54886/scire.v1i2.4445

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