| Iran in transition G Danaei, F Farzadfar, R Kelishadi, A Rashidian, OM Rouhani, ... The Lancet 393 (10184), 1984-2005, 2019 | 192 | 2019 |
| Vehicular fuel consumption estimation using real-world measures through cascaded machine learning modeling E Moradi, L Miranda-Moreno Transportation Research Part D: Transport and Environment 88, 102576, 2020 | 46 | 2020 |
| Perceptions, preferences, and behavior regarding energy and environmental costs: the case of Montreal transport users N Daher, F Yasmin, MR Wang, E Moradi, O Rouhani Sustainability 10 (2), 514, 2018 | 18 | 2018 |
| A machine learning methodology for developing microscopic vehicular fuel consumption and emission models for local conditions using real-world measures E Moradi McGill University (Canada), 2020 | 6 | 2020 |
| A Mixed Ensemble Learning and Time-Series Methodology for Category-Specific Vehicular Energy and Emissions Modeling E Moradi, L Miranda-Moreno Sustainability 14 (3), 2022 | 2 | 2022 |
| On-road vs. Software-based Measurements: On Validity of Fuel, CO2, NOx, and PM Predictions by US EPA’s MOVES E Moradi, L Miranda-Moreno Transportation Research Board 100th Annual Meeting, 2021 | 2 | 2021 |
| A Comparative Analysis of the Vehicular Emissions Generated as a Results of Different Intersection Controls M Behan, E Moradi, L Miranda-Moreno Transportation Research Board 99th Annual Meeting, 2020 | 2 | 2020 |
| Solutions to combat anthropogenic climate change impacts: a review of “Drawdown” O Rouhani, E Moradi, W Do, S Bai, A Farhat | | 2022 |
| Estimation of Link & Turn Volumes in Transportation Networks Using Bluetooth and Wi-Fi Source Data M Rahimi, Y Shafahi, E Moradi, M Hadavi Transportation Research Board 98th Annual MeetingTransportation Research Board, 2019 | | 2019 |
