Ciência &Amp; Saúde Coletiva: Scientific Production Analysis And Collaborative Research Networks

Keywords

Computer technologies; Knowledge development; Partnerships; Public health

Abstract

The purpose of this metric and descriptive study was to identify the most productive authors and their collaborative research networks from articles published in Ciência & Saúde Coletiva between, 2005, and 2014. Authors meeting the cutoff criteria of at least 10 articles were considered the most productive authors. VOSviewer and Network Workbench technologies were applied for visual representations of collaborative research networks involving the most productive authors in the period. Initial analysis recovered 2511 distinct articles, with 8920 total authors with an average of 3.55 authors per article. Author analysis revealed 6288 distinct authors, 24 of these authors were identified as the most productive. These 24 authors generated 287 articles with an average of 4.31 authors per article, and represented 8 separate collaborative partnerships, the largest of which had 14 authors, indicating a significant degree of collaboration among these authors. This analysis provides a visual representation of networks of knowledge development in public health and demonstrates the usefulness of VOSviewer and Network Workbench technologies in future research.

Publication Date

1-1-2017

Publication Title

Ciencia e Saude Coletiva

Volume

22

Issue

3

Number of Pages

987-996

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1590/1413-81232017223.18992016

Socpus ID

85015321595 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85015321595

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