Rate My Professor Alireza Abbasi

Abbasi's research expertise spans network science, informatics encompassing data science and artificial intelligence, informetrics, scientometrics, decision support systems, decision and data analytics, and project, program, and portfolio management. He develops intelligent data-driven decision support methods leveraging machine learning and AI to address uncertainties in socio-technical systems, fostering resilience and sustainability in sectors like public health, transportation, energy, construction, and manufacturing. His prolific publication record features highly cited works such as "Identifying the effects of co-authorship networks on the performance of scholars" (2011, 708 citations), "Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks" (2012, 650 citations), and the book "Analyzing Knowledge Creation and Transfer in Academic Communities using Social Network Analysis" (2013). Recent contributions include "A dynamic risk interdependency network-based model for project risk assessment" (2025, Computers and Industrial Engineering) and "Investigating disruption propagation and resilience of supply chain networks" (2025, International Journal of Production Research). Recognized in the Stanford/Elsevier list of top 2% scientists worldwide since 2020, Abbasi significantly impacts academic fields through high-ranked journal publications and student mentorship.