Tamima Elbashbishy

Missouri University of Science and Technology

Papers

Total Citations

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About

Tamima Elbashbishy is an emerging scholar in construction engineering and management (CEM), whose work bridges advanced computational methods with the future of the built environment. Her research centers on leveraging machine learning and social network analysis to forecast research trends and knowledge flows within the CEM domain. In her most-cited work, she moves beyond traditional scientometric assessments of past impact to develop predictive models that anticipate where the field is heading—a critical contribution for guiding funding, collaboration, and innovation. With over 5 citations already on this early-career piece, her influence is growing rapidly among peers seeking data-driven foresight. By integrating big data analytics with domain expertise, Elbashbishy is helping to transform CEM from a reactive discipline into a proactive, evidence-driven field. Her work not only maps the intellectual structure of construction research but also offers practical tools for researchers and practitioners to navigate emerging trends. As a rising voice in her field, she exemplifies how modern computational techniques can reshape traditional engineering management scholarship.