| The number of undocumented immigrants in the United States: Estimates based on demographic modeling with data from 1990 to 2016 MM Fazel-Zarandi, JS Feinstein, EH Kaplan PloS one 13 (9), e0201193, 2018 | 112 | 2018 |
| Using logic-based Benders decomposition to solve the capacity-and distance-constrained plant location problem MM Fazel-Zarandi, JC Beck INFORMS Journal on Computing 24 (3), 387-398, 2012 | 71 | 2012 |
| Solving a stochastic facility location/fleet management problem with logic-based Benders' decomposition MM Fazel-Zarandi, O Berman, JC Beck Iie Transactions 45 (8), 896-911, 2013 | 38 | 2013 |
| Solving a location-allocation problem with logic-based Benders’ decomposition MM Fazel-Zarandi, JC Beck Principles and Practice of Constraint Programming-CP 2009: 15th …, 2009 | 32 | 2009 |
| Almost robust discrete optimization O Baron, O Berman, MM Fazel-Zarandi, V Roshanaei European Journal of Operational Research 276 (2), 451-465, 2019 | 20 | 2019 |
| Truthful cheap talk: Why operational flexibility may lead to truthful communication O Berman, MM Fazel-Zarandi, D Krass Management Science 65 (4), 1624-1641, 2019 | 19 | 2019 |
| A systematic fuzzy system modeling for scheduling of textile manufacturing system MHF Zarandi, M Esmaeilian, MMF Zarandi International Journal of Management Science and Engineering Management 2 (4 …, 2007 | 15 | 2007 |
| Approximating the first-come, first-served stochastic matching model with Ohm’s law MM Fazel-Zarandi, EH Kaplan Operations Research 66 (5), 1423-1432, 2018 | 13 | 2018 |
| Five crisp and fuzzy models for supply chain of an automotive manufacturing system MH Fazel Zarandi, MM Fazel Zarani, S Saghiri International Journal of Management Science and Engineering Management 2 (3 …, 2007 | 13 | 2007 |
| COVIDAnalytics D Bertsimas, L Boussioux, R Wright, A Delarue, D Kitane, G Lukin, M Li, ... MIT Operations Research Center. Retrieved May 19, 2020, 2020 | 6 | 2020 |
| Prescriptive machine learning for public policy: The case of immigration enforcement D Bertsimas, MM Fazel-Zarandi Computer Sciences. Under Review, 2021 | 4 | 2021 |
| Fuzzy Multiple Agent Decision Support Systems for Supply Chain Management MHF Zarandi, MMF Zarandi Supply Chain, 177, 2008 | 4 | 2008 |
| Scheduling of two and three machine robotic cells with fuzzy methodology MHF Zarandi, MMF Zarandi, MY Maknoon, J Masoumi International Journal of Management Science and Engineering Management 2 (4 …, 2007 | 4 | 2007 |
| Can firms benefit from competition? MM Fazel-Zarandi, I Horstmann, F Mathewson International Journal of Industrial Organization 76, 102740, 2021 | 3* | 2021 |
| Early Detection of Opioid Over-Procurement: A Machine Learning Approach D Bertsimas, M Fazel-Zarandi, J Ivanhoe | 1 | 2020 |
| Why did US urban homicide spike in 2020? A cross‐sectional data analysis for the largest American cities MM Fazel‐Zarandi, A Barnett Risk analysis, 2024 | | 2024 |
| Incentives in Supply Chain Management MM Fazel-Zarandi University of Toronto (Canada), 2016 | | 2016 |
| Informing national immigration policy through interpretable machine learning D Bertsimas, MM Fazel-Zarandi | | |
| Can Supply Chain Flexibility Facilitate Information Sharing? Mohammad Fazel-Zarandi, Oded Berman, Dmitry Krass M Fazel-Zarandi | | |
| Can Supply Chain Flexibility Facilitate Information Sharing? MM Fazel-Zarandi, O Berman, D Krass | | |
