| Novel dynamic formulations for real-time ride-sharing systems A Najmi, D Rey, TH Rashidi Transportation research part E: logistics and transportation review 108, 122-140, 2017 | 121 | 2017 |
| A conceptual model for measuring supply chain's performance A Najmi, A Makui Production Planning & Control 23 (9), 694-706, 2012 | 95 | 2012 |
| Reviewing the transport domain: An evolutionary bibliometrics and network analysis A Najmi, TH Rashidi, A Abbasi, S Travis Waller Scientometrics 110, 843-865, 2017 | 75 | 2017 |
| Providing hierarchical approach for measuring supply chain performance using AHP and DEMATEL methodologies A Najmi, A Makui International Journal of Industrial Engineering Computations 1 (2), 199-212, 2010 | 74 | 2010 |
| Macroscopic parking dynamics modeling and optimal real-time pricing considering cruising-for-parking Z Gu, A Najmi, M Saberi, W Liu, TH Rashidi Transportation Research Part C: Emerging Technologies 118, 102714, 2020 | 66 | 2020 |
| Supply chain performance models: A literature review on approaches, techniques, and criteria A Najmi, MR Gholamian, A Makui Journal of Operations and Supply Chain Management 6 (2), 94-113, 2013 | 65 | 2013 |
| On-street parking management and pricing policies: An evaluation from a system enhancement perspective A Najmi, M Bostanara, Z Gu, TH Rashidi Transportation Research Part A: Policy and Practice 146, 128-151, 2021 | 45 | 2021 |
| What we know and do not know about connected and autonomous vehicles TH Rashidi, A Najmi, A Haider, C Wang, F Hosseinzadeh Transportmetrica A: Transport Science 16 (3), 987-1029, 2020 | 42 | 2020 |
| A new fuzzy MCDA framework for make-or-buy decisions: A case study of aerospace industry M Cheshmberah, A Makui, S Seyedhoseini, A Najmi Management Science Letters 1 (3), 323-330, 2011 | 25 | 2011 |
| Energy consumption in the residential sector: A study on critical factors A Najmi, A Keramati International Journal of Sustainable Energy 35 (7), 645-663, 2016 | 23 | 2016 |
| An integrated supply chain: A large scale complementarity model for the biofuel markets A Najmi, H Shakouri, S Nazari Biomass and Bioenergy 86, 88-104, 2016 | 21 | 2016 |
| Calibration of large-scale transport planning models: a structured approach A Najmi, TH Rashidi, J Vaughan, EJ Miller Transportation 47, 1867–1905, 2020 | 20 | 2020 |
| A two-stage recreational destination choice study incorporating fuzzy logic in discrete choice modelling MN Hassan, A Najmi, TH Rashidi Transportation research part F: traffic psychology and behaviour 67, 123-141, 2019 | 17 | 2019 |
| A multimodal multi-provider market equilibrium model: A game-theoretic approach A Najmi, TH Rashidi, T Waller Transportation Research Part C: Emerging Technologies 146, 103959, 2023 | 15 | 2023 |
| A novel approach for systematically calibrating transport planning model systems A Najmi, TH Rashidi, EJ Miller Transportation 46 (5), 1915–1950, 2019 | 14 | 2019 |
| Easing or tightening control strategies: determination of COVID-19 parameters for an agent-based model A Najmi, S Nazari, F Safarighouzhdi, EJ Miller, R MacIntyre, TH Rashidi Transportation, 1-29, 2021 | 13 | 2021 |
| Facemask and social distancing, pillars of opening up economies A Najmi, S Nazari, F Safarighouzhdi, CR MacIntyre, EJ Miller, ... Plos one 16 (4), e0249677, 2021 | 12 | 2021 |
| Model formulation and calibration procedure for integrated multi-modal activity routing and network assignment models A Najmi, D Rey, ST Waller, TH Rashidi Transportation Research Part C: Emerging Technologies 121, 102853, 2020 | 12 | 2020 |
| A human behaviour model and its implications in the transport context A Najmi, T Waller, M Memarpour, D Nair, TH Rashidi Transportation research interdisciplinary perspectives 18, 100800, 2023 | 11 | 2023 |
| Determination of COVID-19 parameters for an agent-based model: Easing or tightening control strategies A Najmi, F Safarighouzhdi, EJ Miller, R MacIntyre, TH Rashidi medRxiv, 2020.06. 20.20135186, 2020 | 10 | 2020 |
Taha Hossein RashidiProfessor at UNSWVerified email at unsw.edu.au
