信息资源管理学报 ›› 2019, Vol. 9 ›› Issue (4): 24-30.doi: 10.13365/j.jirm.2019.04.024

• 专题-学术评价研究的新视角 • 上一篇    下一篇

个人相对引文率(ARCR):作者影响力评价新指标

臧思思 李秀霞   

  1. 曲阜师范大学传媒学院,日照,276826
  • 收稿日期:2018-12-18 出版日期:2019-11-21 发布日期:2019-11-22
  • 作者简介:臧思思,女,硕士研究生,研究方向为信息计量;李秀霞,女,教授,硕士生导师,研究方向为数据挖掘与信息处理。
  • 基金资助:
    本文系国家社会科学基金项目“文献内容分析与引文分析融合的知识挖掘与发现研究”(16BTQ074)的研究成果之一。

Author Relative Citation Rate (ARCR): A New Improved for the Influence Evaluation

Zang Sisi Li Xiuxia   

  1. School of Communication,Qufu Normal University,Rizhao, 276826
  • Received:2018-12-18 Online:2019-11-21 Published:2019-11-22

摘要: 根据不同的研究方向对作者影响力进行评价,提出一种基于研究方向的作者影响力评价方法。选取图书情报领域中的20位作者作为评估对象,先根据作者共被引网络划分作者的研究方向;再以作者论文的篇均被引次数作为作者的条件被引频次,并通过SPSS统计工具对共被引网络中作者论文的篇均被引次数与T指数进行回归拟合,以获取作者论文的期望被引频次;最后将同一研究方向内作者的条件被引频次除以期望被引频次,计算特定研究方向的个人相对引文率(ARCR)。与CPP、h、g、P、hg指数相比,ARCR能更好地反映作者发表论文的内容特征,缩小作者的比较范围,评价角度更加合理。

关键词: 个人相对引文率, 作者共被引, 作者影响力, 学术评价, 文献计量

Abstract: This paper presents an author influence evaluation method based on research direction. Twenty authors in the field of Library and Information Science are selected as evaluation objects. Firstly, the author's research direction is divided on the basis of the author's co-citation network; secondly, the author's citation per paper is queried as the actual citation frequency, and the author's impact factor and T index are fitted by SPSS to obtain the expected citation frequency of author's literature; finally, the conditional citation frequency of the author's literature in the same research orientation is divided by the expected citation frequency to compute the author relative citation rate (ARCR) under the specific research orientation. Compared with CPP, h, g, P and hg indices, ARCR can better reflect the content characteristics of the published literature, narrow the comparison scope of authors, and make the evaluation more reasonable.

Key words: Author related citation rate(ARCR), Author Co-citation analysis, Author influence, Academic evaluation, Bibliometrics

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