This study analyzes predominant themes and disciplinary and methodological trends in academic integrity and misconduct research. It utilizes bibliometric analysis to explore prevalent themes and interdisciplinary intersections within discussions based on Scopus metadata. R Studio, which uses "biblioshiny" software, is employed to visualize trends. The results indicate the presence of 769 final documents (627 on academic integrity and 142 on academic misconduct) related to the research focus up to 2023. Visual representations show complex relationships and theme changes. The analysis uncovers connections between academic integrity and misconduct, emphasizing criteria such as plagiarism and the misuse of artificial intelligence (AI) tools. Distinct thematic clusters emerge, showcasing diverse dimensions and the impact of AI on misconduct. Interconnected research endeavors underscore dominant themes like cheating and ethical considerations. Thematic evolution reflects shifts from integrity-misconduct dichotomies to emergent issues like online fraud. Disciplinary contributions highlight the interdisciplinary nature of the discourse, drawing insights from social sciences, medicine, arts, business, psychology, and computer sciences. The detailed systematic literature review and survey design, which are dominant in research on academic integrity and misconduct, help build audience confidence. Some insights into academic integrity and misconduct via typical categories or terms have also been illustrated for the insightful reader.