Brazilian scientific journals indexed in Google Scholar Metrics

Authors

DOI:

https://doi.org/10.22478/ufpb.1809-4783.2020v30n4.57048

Abstract

This work aims to identify how many Brazilian scientific journals are indexed in Google Scholar Metrics and to
describe the characteristics of the publications. The variables analyzed are the subject and impact (h5-index and
h5-median), the Qualis Brazilian journal classification, the languages, the periodicity and the type of publisher.
Data from 1,906 Brazilian scientific journals indexed in UlrichsWeb were retrieved. A script for automated search
and data extraction in Google Scholar Metrics was used. The journals not found were searched manually. As a
result, 1,063 Brazilian journals were identified in Google Scholar Metrics (55% of the total). It was found that
33% of publications are in Human Sciences, 17% in Health Sciences and Medicine and 17% in Social Sciences;
the journals with the highest average of the h5-index are Health Sciences (11.34) and Agrarian and Biological
Sciences (9.11) and approximately 90% of the total publications have an h5-index below 10. It was also found
that approximately 50% of the journals is maintained by public federal or state universities, 54% publishes works
only in Portuguese and 65% is biannual or quarterly. These results suggested that Google Scholar Metrics is a
relevant source of impact analysis for Brazilian journals, mainly academic publications, in the areas Humanities
and Social Sciences and without any other impact indicator. However, the use of this system for official evaluation
purposes should be carried out with caution, owing to the system has inconsistencies and limitations.

Keywords: Google Scholar Metrics. Brazilian scientific journals. H5-index.

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Author Biographies

Adilson Luiz Pinto, UFSC

Doutor em Documentação pela Universidad Carlos III de Madrid. Coordenador do Programa de Pós-Graduação em Ciência da Informação. Universidade Federal de Santa Catarina, Brasil. Bolsista de Produtividade do CNPq.

Fabio Lorensi Do Canto, UFSC

Doutorando pelo Programa de Pós-Graduação em Ciência da Informação da Universidade Federal de Santa Catarina (PGCIN/UFSC).

Edson Mario Gavron, UFSC

Doutorando pelo Programa de Pós-Graduação em Ciência da Informação da Universidade Federal de Santa Catarina (PGCIN/UFSC).

Marcos Talau, UTFPR

Doutorando em Redes de Computadores pelo Programa de Pós-Graduação em Engenharia Elétrica e Industrial (PPGEI) da Universidade Tecnológica Federal do Paraná (UTFPR) e professor adjunto da Universidade Tecnológica Federal do Paraná (UTFPR).

Published

2020-12-29

How to Cite

Pinto, A. L., Do Canto, F. L. ., Gavron, E. M. ., & Talau, M. . (2020). Brazilian scientific journals indexed in Google Scholar Metrics. Informação &Amp; Sociedade, 30(4), 1–18. https://doi.org/10.22478/ufpb.1809-4783.2020v30n4.57048

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Relatos de Pesquisa