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A Bibliometric Analysis of Citation Patterns in Conference Papers of Information Science

학술대회 논문의 참고자료 인용패턴 분석 - 정보과학 분야를 중심으로 -

  • 이다니엘 (상명대학교 공과대학 소프트웨어학과)
  • Received : 2017.10.16
  • Accepted : 2017.11.13
  • Published : 2017.11.30

Abstract

This paper aims to explore the citation patterns of conference papers in 'Information Science' discipline and to analze impacts of various cited works-related factors on future citations of conference papers. Existing bibliometric studies has investigated citation patterns and the statistical relations between a variety of bibliographic factors and the future citations of literature. However, the attentions have been focused largely on journal articles, and the bibliometric studies targeting conference papers are still in an infant stage. Therefore, this study, which is based on 1,904 conference papers in 'Information Science' field, examined several citation patterns and the contributions of the factors about cited works - the number of cited works, type of cited works, citation rates and ages of cited works at the time of being cited and the rate of self-citedness - to the future citation of the citing target articles. The data source of this study including the properties of target articles and cited works and citation rates of target articles was Scopus. As the results, 53% and 29% of the cited works were conference papers and journal articles, respectively. 14% of them are non-traditional types such as web pages, technical reports, patent, etc. More than 60% of the cited works were 5 years old or less. Among several factors considered in this paper, the number of conference papers and the number of non-traditional types of works are the most contributing factors on the citation rates of target articles. The recency of the cited works is also significant contributor on the citation rates of target articles. That is, the target articles citing more conference papers and non-traditonal types of works earned more citations. The target articles citing recent works also earned more citations.

Keywords

Citation Analysis;References;Bibliometric Analysis;Multiple Regressions;Conference Proceedings

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