Mahmaod Alrawad

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Total Citations

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About

Mahmaod Alrawad is a leading researcher at the intersection of artificial intelligence, public finance, and governance. His work focuses on how emerging technologies can transform public administration, particularly in the critical area of tax compliance and monitoring. Alrawad’s most cited paper, “The impact of using types of artificial intelligence technology in monitoring tax payments” (2024, 11 citations), provides a foundational analysis of how machine learning algorithms and other AI tools can revolutionize tax administration. By conducting a thorough literature review, he systematically maps the relationship between different AI technologies—from predictive analytics to pattern recognition—and their effectiveness in detecting non-compliance and improving revenue collection. This work has positioned him as a key voice in the growing field of AI-driven public policy. Alrawad’s research is notable for bridging technical AI capabilities with real-world fiscal challenges, offering actionable insights for governments seeking to modernize their tax systems. His contributions are increasingly cited by scholars and practitioners alike, underscoring the practical relevance of his work in an era of digital transformation in governance.