图书情报工作 ›› 2016, Vol. 60 ›› Issue (10): 108-114.DOI: 10.13266/j.issn.0252-3116.2016.10.015

• 情报研究 • 上一篇    下一篇

一种评价领域作者影响力的改进G指数GN-C的评价与实证研究

田甜   

  1. 河南农业大学 郑州 450002
  • 收稿日期:2016-04-11 修回日期:2016-05-04 出版日期:2016-05-20 发布日期:2016-05-20
  • 作者简介:田甜(ORCID:0000-0002-8669-2540),馆员,硕士研究生,E-mail:daqinwuanjun@aliyun.com

An Evaluation and Empirical Study of GN-C-index: A New Modification Indicator for Author Evaluation of Field Based on G-index

Tian Tian   

  1. Henan Agricultural University, Zhengzhou 450002
  • Received:2016-04-11 Revised:2016-05-04 Online:2016-05-20 Published:2016-05-20

摘要: [目的/意义] 评价领域作者影响力的计量指标逐年增多。针对很多指数不是归一化的问题,介绍由L. Bertoli-Barsotti提出的GN指数,该指标结合G指数、总被引频次等因素全面评价作者影响力。但由于GN指数在界定核心文献时没有考虑作者合作,夸大了署名靠后作者的贡献,本文提出GN-C指数改进其计算方法以更好地评价作者影响力。[方法/过程] 在阐述GN核心思想基础上,从作者合作出发筛选核心文献,并比较其与G指数的异同。以图书情报领域作者为研究对象,从稳定性、相关性以及区分性讨论GN-C指数评价效果。[结果/结论] 结果表明,GN-C指数对G指数相同作者的区分度达到93.55%,区分效果显著;对作者署名、总被引频次、论文总数等变量敏感且存在着不同的相关性,在一定程度上克服了G指数的不足。

关键词: G指数, GN-C指数, 合作度, 作者评价, 区分度

Abstract: [Purpose/significance] The indexes of evaluating authors influence in the fields are gradually increasing, but a lot of indexes are not normalized. Aimed to solve this problem, this article introduces a new index, GN-index, for more exact evaluating authors influence by Bertoli-Barsotti Lucio based on G-index and total citations et al. This study makes some modifications based on the problem that GN-index does not take cooperation into consideration when evaluating author's influence and named GN-C-index.[Method/process] Firstly, the paper introduces the core ideas of GN-C-index, and the similarities/differences compared with G-index. Then it selects the literature records from the subject of "Library and Information Science and Digital Library" from CNKI (2005-2014) to analyze its stability, correlation, and differentiation.[Result/conclusion] The empirical research shows that GN-C-index has superior discriminative capability, different sensibilities and correlations with total citations, number of authors and author's signature order et al.

Key words: G-index, GN-C-index, co-authorship, author evaluation, discrimination

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