Mapping, evolution, and application trends in co-citation analysis: a scientometric approach

Revista de Investigacion Desarrollo e Innovacion Pub Date : 2023-02-15 DOI:10.19053/20278306.v13.n1.2023.16070

Sebastian Robledo-Giraldo, Jose Gregorio Figueroa-Camargo, Martha Viviana Zuluaga-Rojas, Sol Beatriz Vélez-Escobar, Pedro Luis Duque- Hurtado

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Abstract

This study aims to explore the mapping, evolution, and application trends of co-citation analysis. To accomplish this goal, a comprehensive search was conducted using Scopus and Web of Science, resulting in 1298 relevant studies. Further analysis was conducted on scientific production, country, author, journal, and network data. The Tree of Science algorithm was applied to demonstrate the development of co-citation analysis. The results make three significant contributions to scientometric research: Firstly, a scientific mapping is presented highlighting the scientific output, main journals, and key researchers; secondly, the advancements of co-citation analysis are presented through the Tree of Science metaphor; lastly, the study identifies the three main subtopics within co-citation analysis through citation analysis. These findings will assist researchers and librarians in recognizing the crucial contributions and applications of co-citation analysis.

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共引分析的制图、演变和应用趋势:科学计量学方法

本研究旨在探讨共被引分析的定位、演变及其应用趋势。为了实现这一目标，我们使用Scopus和Web of Science进行了全面的检索，得到1298篇相关研究。进一步分析了科研产出、国家、作者、期刊和网络数据。本文运用科学树算法来展示共被引分析的发展。研究结果对科学计量学研究有三个重要贡献:第一，构建了科学产出、主要期刊和重点研究人员的科学图谱;其次，通过科学树的隐喻，介绍了共被引分析的进展;最后，通过引文分析，确定了共被引分析的三个主要子主题。这些发现将有助于研究人员和图书馆员认识到共引分析的重要贡献和应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Revista de Investigacion Desarrollo e Innovacion

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审稿时长

14 weeks