ANALYSIS OF THE COMMUNITIES OF BRAZILIAN RESEARCHERS IN THE AREA OF PHILOSOPHY: a study based on the juxtaposition between the data of the Lattes Platform and Web of Science (2007-2016)
Articles
Electronic International Standard Serial Number (EISSN)
1809-4783
abstract
Considers whether there are different groups of Brazilian researchers of Philosophy in the the intersection between the records of the Lattes Database (LD) and Web of Science (WoS) about the habits of publication. The universe included research curricula 6,060 active in Philosophy, which drew 43,345 papers published between 2007 to 2016, of these, 1.657 are indexed in the WoS. The LD data were extracted with the ScriptLattes. Packages used in R programming language to identify the languages of the papers and themes ("Topic Modeling"). To generate graphs of co-authoring it took the Gephi. This study identified two distinct populations: one that works and produces mainly on Philosophy or themes related to the humanities and social sciences (Most of the curricula of researchers) and another whose activities and scientific production are focused in Life Sciences (curricula of intersection), however with interdisciplinary focused bioethical and epistemological studies. The results indicate an average productivity increased in the second half of the decade to both bases. The Portuguese language prevails in LD with 89%, while the English language dominates in WoS with 75.72%. The journal core of the LD focuses on the area of Philosophy while in WoS predominate Life sciences. The same occurs in thematic maps. There is compatibility between thematic topic maps and coauthor graphs, suggesting good representation of the analyzed communities. It is concluded that the intersection of data becomes visible underlying patterns of publication habits, imperceptible in the traditional methodological strategies.
Classification
keywords
bibliometric indicators; brazilian researchers of philosophy; humanities; publication habits; arts-and-humanities; social-sciences; research performance; patterns; growth