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Going Beyond Counting First Authors in Author Co-citation Analysis

机译:在作者同被引分析中超越第一作者

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摘要

The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citationcounts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappingsare based, and we compare ACA results based on two different types of co-citation counting - the traditional type thatonly counts the first one among a cited work's authors on the one hand and a non-traditional type that takes intoaccount the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed.
机译:本研究探讨了作者同被引分析(ACA)的基本方面之一-定义同被引计数的方式。共引计数提供了所有后续统计分析和映射所基于的数据,并且我们基于两种不同类型的共引计数对ACA结果进行比较-传统类型仅对被引作品的作者进行第一个计数另一方面,非传统类型则要考虑被引用作品的前5位作者。结果表明,通过这种非传统的作者同被引计数产生的图片包含更多连贯的作者群体,因此更加清晰。但是,与选择和分析相同数量的排名第一的作者时相比,这种图片代表的研究领域的专业数量要少于通过传统的第一作者共同引用计数产生的专业数量。讨论了产生这些影响的原因。

著录项

  • 作者

    Zhao Dangzhi;

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  • 年度 2005
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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