Research Assessment Based on the Number of top Researchers

IF 0.6 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
A. Rodríguez-Navarro, Ricardo Brito
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引用次数: 1

Abstract

Bibliometrics provides accurate, cheap, and simple descriptions of research systems. The number of highly cited researchers reported by Clarivate Analytics (HCR) has been used for that purpose, assuming that a research system that employs many HCR will be more successful than others with fewer of them. Here, we study the use of the number of top researchers (TR) reported by Ioannidis, Boyack and Baas, J. in 2020 for research assessment at country level. Firstly, we validated the number of TR by correlation with the P top 5% indicator of the Leiden Ranking. After identifying the number of TR for the Leiden Ranking universities, we found a high correlation between the numbers of TR and top 5% papers when the data were aggregated at country level. Once the number of TR was validated, we constructed country rankings with the raw data and after normalization by the number of inhabitants or gross domestic product. The correlation between the numbers of TR and HCR is high, but with important divergences in countries with small numbers of HCR, which precludes the use of the number of HCR in many countries. The number of TR and HCR are approximately equivalent to the numbers of the top 5% and 0.05% of most cited papers, respectively. We conclude that the number of TR is a simple and reliable indicator of research success that can be used in much more countries than the number of HCR. It can also be used for institutions if affiliations are correctly identified.
基于顶尖研究人员数量的研究评估
文献计量学为研究系统提供了准确、廉价和简单的描述。Clarivate Analytics (HCR)报告的高被引研究人员的数量被用于此目的,假设使用许多HCR的研究系统将比使用较少HCR的研究系统更成功。在这里,我们研究了Ioannidis, Boyack和Baas, J.在2020年报告的顶级研究人员数量(TR)用于国家层面的研究评估。首先,我们通过与莱顿排名的P前5%指标的相关性来验证TR的数量。在确定了莱顿排名大学的论文发表率之后,我们发现,当数据在国家层面上汇总时,论文发表率与排名前5%的论文之间存在高度相关性。一旦TR的数量得到验证,我们就用原始数据和标准化后的居民数量或国内生产总值构建国家排名。TR数量与HCR之间的相关性很高,但在HCR数量较少的国家存在重要差异,这使得许多国家无法使用HCR数量。TR和HCR的数量分别约等于被引最多的前5%和0.05%的论文数量。我们的结论是,TR的数量是研究成功的一个简单而可靠的指标,可以在更多的国家使用,而不是HCR的数量。如果正确地确定了从属关系,它也可以用于机构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Scientometric Research
Journal of Scientometric Research INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
1.30
自引率
12.50%
发文量
52
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