Analysis of Publications in the Field of Accounting Auditing with Traditional Bibliometric Methods and CiteSpace Based Visual Mapping Techniques

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Abstract

The aim of this study is to analyze 1,655 publications published between 2017-2021 in the field of “Accounting Auditing” in the Web of Science Core Collection database, with two different analysis methods, CiteSpace analysis technique and traditional bibliometric analysis method, within the scope of modern visual mapping techniques. The study used the citation explosion model, overlay map model, timeline of the largest clusters, major clusters (major specializations) analysis techniques and carrot2 clustering model to analyze the accounting auditing subject based on bibliographic data using CiteSpace visual mapping techniques. It is aimed that the findings obtained within the scope of the study will guide future studies on accounting auditing.
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用传统文献计量学方法和基于CiteSpace的可视化映射技术分析会计审计领域的出版物
本研究的目的是在现代视觉映射技术的范围内,采用CiteSpace分析技术和传统文献计量分析方法两种不同的分析方法,分析2017-2021年间在Web of Science核心收藏数据库中“会计审计”领域发表的1655篇出版物。本研究采用引文爆炸模型、叠加图模型、最大聚类的时间线、主要聚类(主要专业)分析技术和carrot2聚类模型,使用CiteSpace可视化映射技术对基于书目数据的会计审计主题进行分析。其目的是,在研究范围内获得的研究结果将指导未来的会计审计研究。
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