Papers
1
Total Citations
5
H-Index
1
About
Ramy Khalef is an emerging leader in construction engineering and management (CEM), whose work harnesses machine learning and social network analysis to forecast the future trajectory of the field. His most-cited paper, "Forecasting Future Research Trends in the Construction Engineering and Management Domain Using Machine Learning and Social Network Analysis" (2024), addresses a critical gap: while prior studies have assessed the current impact of CEM publications, none have systematically predicted where the discipline is heading. By integrating advanced computational methods with scientometric analysis, Khalef provides a data-driven roadmap for researchers and practitioners, identifying emerging subdisciplines and shifting priorities. His contributions are already shaping how the CEM community approaches knowledge synthesis and strategic planning. With 5 citations on his flagship work—a strong start for a recent publication—Khalef demonstrates the potential to influence both academic inquiry and industry practice. His research stands at the intersection of big data and construction management, offering a forward-looking perspective that is essential for navigating the evolving demands of the built environment. As a rising scholar, Khalef is poised to become a key voice in the digital transformation of construction research.
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Top Papers
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