Youssra Riahi

Papers

Total Citations

337

H-Index

About

Youssra Riahi is a leading researcher at the intersection of artificial intelligence and supply chain management. Her work focuses on leveraging AI to enhance operational efficiency, with a particular emphasis on bibliometric analysis and predictive modeling in logistics. Her most-cited paper, "Artificial intelligence applications in supply chain: A descriptive bibliometric analysis and future research directions" (2021), has garnered over 337 citations, establishing her as a key voice in mapping the evolving landscape of AI-driven supply chains. This seminal work systematically reviews the literature, identifies critical trends, and outlines a roadmap for future inquiry, making it an essential resource for scholars and practitioners alike. Beyond this, Riahi’s research has explored how machine learning and data analytics can optimize decision-making in complex supply networks, contributing to both theoretical frameworks and practical applications. Her ability to synthesize vast bodies of research and pinpoint emerging directions has made her work highly influential, with her citation record reflecting its widespread adoption. For students and researchers, Riahi’s scholarship offers a clear, data-driven lens through which to understand the transformative potential of AI in supply chain contexts, marking her as a pivotal figure in this rapidly advancing field.