Mohamad Abdul Nabi
Papers
1
Total Citations
5
H-Index
1
About
Mohamad Abdul Nabi is a rising scholar in construction engineering and management (CEM), whose work leverages advanced computational methods to map and forecast the evolution of the field. His research centers on integrating machine learning and social network analysis to uncover hidden patterns in academic literature, enabling the prediction of emerging research trends and knowledge gaps. His most-cited paper, "Forecasting Future Research Trends in the Construction Engineering and Management Domain Using Machine Learning and Social Network Analysis" (2024, 5 citations), introduces a novel framework that moves beyond traditional retrospective scientometrics to proactively identify where the discipline is heading. This work has quickly garnered attention for its potential to guide researchers and funding agencies toward high-impact areas. Abdul Nabi’s contributions are particularly notable for bridging data science with construction management, offering a systematic, data-driven approach to understanding the field’s intellectual structure. As a forward-thinking researcher, he is helping to shape the next generation of CEM scholarship, making his work essential reading for anyone interested in the future of construction research.
Research Focus
Key Achievements
Top Papers
- 1