Conner Norma, Provedel Attilio, Maciel Ethel Leonor Noia
College of Nursing, University of Central Florida. 12201 Research Parkway Suite 300, Orange. 32826 Orlando FL USA.
Departamento de Arquivologia, Centro de Ciências Jurídicas e Econômicas, Universidade Federal do Espírito Santo (UFES). Vitória ES Brasil.
Cien Saude Colet. 2017 Mar;22(3):987-996. doi: 10.1590/1413-81232017223.18992016.
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.
这项计量与描述性研究的目的是，从2005年至2014年期间发表于《Ciência & Saúde Coletiva》杂志的文章中，找出最具生产力的作者及其合作研究网络。满足至少发表10篇文章这一筛选标准的作者被视为最具生产力的作者。VOSviewer和Network Workbench技术被用于直观展示该时期内涉及最具生产力作者的合作研究网络。初步分析检索到2511篇不同的文章，共有8920位作者，平均每篇文章有3.55位作者。作者分析发现了6288位不同的作者，其中24位被确定为最具生产力的作者。这24位作者发表了287篇文章，平均每篇文章有4.31位作者，代表了8个不同的合作关系，其中最大的合作关系有14位作者，表明这些作者之间存在显著程度的合作。该分析提供了公共卫生领域知识发展网络的直观展示，并证明了VOSviewer和Network Workbench技术在未来研究中的实用性。
