Análise de cocitação de trabalhos sobre linguagem de indexação na base de dados da BRAPCI

Abstract

In Bibliometric, cocitation analysis makes it possible to obtain a detailed view of the frequency with which an author is linked to another through publications, with the aim of highlighting the influence and impact they have within the scientific community, and contributing to the development of a long-term area of knowledge. In order to verify the scientific development of the theme "indexing language", a bibliometric analysis of scientific production was carried out, in the period of 2008-2019, contained in the Database in Information Science (BRAPCI). For this, a Bibliometric method was used based on the search and retrieval of information with the compound term “indexing language” to list the most productive authors and their quotation relationships. A sample of 64 articles with 885 authors was obtained, highlighting the first 12 that had more than 10 citations related to another author. The results showed that the most cited authors were Lancaster (31), Fujita (29) and Campos (14). The authors who presented the most cocitations were LancasterFujita with 22 citations links; Fujita-Rubi with 13 and Fujita-Boccato and Lancaster-Rubi with 12 connections each. It is concluded that more and more authors are conducting relevant research on the subject and that there is a great and important scientific collaboration between these authors.