Bibliometric Analysis into Artificial Intelligence in Crime Management: Trends, Challenges, and Future Directions

Abstract

This bibliometric analysis investigates the expansive terrain of artificial intelligence (AI) within the context of crime management. Our study spans two decades of academic publications, revealing a pronounced growth in research, particularly within the last five years. We delineate the global distribution of this scholarly work, identifying India, China, and the United States as the predominant contributors to the field. Prominent authors like Ajith Abraham P. and Arputharaj Kannan emerge as significant figures, influencing the research direction through their pioneering themes and methodologies. Institutional contributions are led by King Saud University and Anna University, indicating a concentrated effort in advancing AI for law enforcement. The analysis highlights key research trends focusing on cybersecurity, network security, and predictive analytics, illustrating the field's evolution toward addressing digital age crime. The collective findings demonstrate an international commitment to leveraging AI for more effective crime management strategies while considering the ethical implications of technology in law enforcement.