Abstract

This research aimed to identify patterns, intellectual structure, contributions, social interactions, gaps, and future research directions in the field of academic integrity (AI). A bibliometric analysis was conducted with 1406 publications covering the period 1966–2023. The results indicate that there has been significant growth in AI literature over the last decade. The most influential publications focused on academic integrity violations such as cheating, plagiarism, and academic misconduct. The largest contribution to the field has come from journals that publish specifically on ethics and academic integrity. Studies in the historical origins of the field have focused on students’ cheating behavior. The thematic structure of the field has focused on academic integrity and its violations, cheating, academic dishonesty, academic integrity in the context of online education, research ethics, and research on the detection of academic violations. The trending topics in the field are academic dishonesty, especially plagiarism and cheating, and online education. The UK, USA, Canada, and Australia have been the most collaborative and productive. More research is needed to address the AI field in the context of new developments.