Saad Mohmmad Ismail

Papers

Total Citations

H-Index

About

Dr. Saad Mohmmad Ismail is a rising scholar at the intersection of artificial intelligence and financial technology, with a primary research focus on the application of machine learning and AI-driven systems to enhance decision-making accuracy in the banking sector. His most cited work, "Artificial Intelligence Applications and Financial Forecasting Accuracy in Banking Platforms: Evidence from Jordan" (2026), provides critical empirical evidence on how AI-based decision-making tools can significantly improve financial forecasting within digital banking environments. This study, already garnering 2 citations shortly after publication, addresses the growing demand for reliable, data-driven methodologies in an era of rapid banking digitalisation. Dr. Ismail’s research is particularly notable for its focus on the Jordanian banking context, offering valuable insights into emerging market financial technologies. His contributions are helping to bridge the gap between theoretical AI models and practical, real-world financial applications, making his work essential reading for students and researchers interested in fintech innovation, predictive analytics, and the transformative role of artificial intelligence in modern banking systems.