Hussein Issa

Rutgers, The State University of New Jersey

Papers

Total Citations

H-Index

About

Hussein Issa is a leading scholar at the intersection of accounting, information systems, and emerging technologies. His research primarily focuses on the implementation and implications of Robotic Process Automation (RPA) in accounting, as well as the application of advanced data analytics for fraud detection. A major contribution is his 2022 study on RPA implementation case studies in accounting, which provides a comprehensive, end-to-end perspective on the benefits and challenges of adopting this technology—a work that has garnered 70 citations and serves as a foundational resource for practitioners and academics alike. Earlier, Issa demonstrated his expertise in forensic accounting through his 2011 work on anomaly detection techniques to identify fraudulent refunds, a paper cited 24 times for its practical methodology. His research is notable for bridging the gap between theoretical frameworks and real-world application, offering actionable insights for organizations navigating digital transformation. Issa’s work is essential reading for students and researchers interested in how automation and data analytics are reshaping modern accounting practices.