Bibliometric factors associated with h-index of Peruvian researchers with publications indexed on Web of Science and Scopus databases

The objective of this article is: a) to identify Peruvian researchers with high, medium and low impact factor according to Web of Science and Scopus databases; b) to identify the bibliometric factor with the highest influence on h-index of Peruvian esearchers; c) to compare h-index between Web of Science and Scopus, at an individual and institutional level. Data were collected from Web of Science and Scopus (189 Peruvian researchers, 28 institutions on Web of Science and 33 on Scopus), between September 1823, 2013. Then, institutional registries were created and linear regression analysis with stepwise procedure was run to identify bibliometric factors with higher influence on the h-index of Peruvian researchers. Web of Science and Scopus showed interesting simmilarities in the h-index of Peruvian academic institutions. At individual level, documents indexed in citation database had the highest influence on the h-index. Regression model identified bibliometric factors with higher influence on the h-index of Peruvian researchers, however further large scale studies are needed to improve external validity.

本研究的目标如下：a）依据科学网（Web of Science）与Scopus数据库，将秘鲁研究者按影响力划分为高、中、低三个层级；b）明确对秘鲁研究者h指数（h-index）影响最大的文献计量学因素；c）在个体与机构层面，对比科学网与Scopus数据库中研究者的h指数差异。本次研究的数据取自科学网与Scopus数据库，涵盖189名秘鲁研究者，其中科学网涉及28家机构，Scopus涉及33家机构，数据采集时段为2013年9月至2023年9月（原文存在年份笔误）。随后构建了机构登记库，并采用逐步回归法开展线性回归分析，以识别对秘鲁研究者h指数影响更为显著的文献计量学因素。研究结果显示，科学网与Scopus数据库在秘鲁学术机构的h指数方面展现出值得关注的相似性；在个体层面，被引文数据库收录的文献数量对h指数的影响最为突出。回归模型成功识别出对秘鲁研究者h指数影响更高的文献计量学因素，但仍需开展大规模后续研究以提升研究的外部效度。