A Bibliometric Analysis: Navigating Publication Trends in Academic Dishonesty in Higher Education

The spread of artificial intelligence poses a threat to various academic activities. Higher education institutions are aware of academic dishonesty among students and lecturers but cannot offer a promising solution to this problem. This study aims to analyse the publication trends and citation metrics on academic dishonesty in higher education while identifying the common research keywords in this area. It also identifies the main countries contributing research on academic dishonesty. The study is based on a bibliometric analysis of 239 articles from the Scopus database using the TITLE-ABS-KEY approach. Microsoft Excel is used in analyzing the frequency of published materials using the corresponding tables and charts. In addition, the VOS Viewer software is used to create bibliometric networks and Harzing's Publish or Perish software is used to assess the citation metrics of the articles. The analysis shows that the number of publications on academic dishonesty is increasing, especially between 2020 and 2022. The articles were cited 4129 times, which corresponds to an average of 17.28 citations per article. The results show that the most common keywords discussed in this area are academic dishonesty, higher education, cheating, students, and e-learning, which can be grouped into 5 clusters. The United States, Malaysia, South Africa, the United Kingdom, and Australia are among the countries that contribute to publications in this area. To summarise, this article provides important insights into academic dishonesty and publication trends in this field.