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Is Hirsch's H the Best Predictor of the Number of a Researcher's Extremely Highly Cited Articles?

机译:Hirsch的H是否是研究人员被极高引用的论文数量的最佳预测者?

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摘要

Ruscio et al. (Ruscio, Seaman, D'Oriano, Stremlo, & Mahalchik, this issue) have provided an impressively comprehensive conceptual and empirical psychometric analysis of 22 modern-day citation measures. Their analyses show that although numerous measures have been developed to ameliorate perceived limitations of Hirsch's (2005) h index (which is perhaps the most prevalent measure used to evaluate academic productivity and is defined as the largest number h such that at least h articles are cited at least h times), they are not superior to h (and are redundant with h because they are highly correlated with it). Because these other measures often suffer from being conceptually opaque and difficult to compute, and because h is determined by both the quantity and impact of a faculty member's publications, Ruscio et al. endorse using h to evaluate the scholarly impact of a person (or a variation on h to evaluate a department's or university's scholarly impact).
机译:Ruscio等。 (Ruscio,Seaman,D'Oriano,Stremlo和Mahalchik,本期杂志)提供了令人印象深刻的综合概念和实证心理学计量分析,涉及22种现代引文度量。他们的分析表明,尽管已开发出许多措施来缓解Hirsch(2005)h指数的局限性(这可能是用于评估学术生产率的最流行的指标,并且定义为最大的h数,以便至少引用了h篇文章)至少h倍),它们并不优于h(并且与h冗余,因为它们与h高度相关)。由于这些其他度量通常在概念上不透明且难以计算,并且因为h是由教师出版物的数量和影响力决定的,Ruscio等。赞同使用h来评估一个人的学术影响力(或对h的一种变体来评估一个部门或大学的学术影响力)。

著录项

  • 来源
    《Measurement》 |2012年第4期|157-160|共4页
  • 作者

    Kit W. Cho; James H. Neely;

  • 作者单位

    Department of Psychology, University at Albany-State University of New York;

    University at Albany-State University of New York, Department of Psychology, Social Sciences 397, 1400 Washington Avenue, Albany, NY 12222;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 13:29:38

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