| Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis AB Parsa, A Movahedi, H Taghipour, S Derrible, AK Mohammadian Accident Analysis & Prevention 136, 105405, 2020 | 730 | 2020 |
| The complexity and robustness of metro networks S Derrible, C Kennedy Physica A: Statistical Mechanics and its Applications 389 (17), 3678-3691, 2010 | 491 | 2010 |
| Network analysis of world subway systems using updated graph theory S Derrible, C Kennedy Transportation Research Record 2112 (1), 17-25, 2009 | 236 | 2009 |
| Network centrality of metro systems S Derrible PloS one 7 (7), e40575, 2012 | 232 | 2012 |
| Characterizing metro networks: state, form, and structure S Derrible, C Kennedy Transportation 37, 275-297, 2010 | 230 | 2010 |
| Applications of graph theory and network science to transit network design S Derrible, C Kennedy Transport reviews 31 (4), 495-519, 2011 | 223 | 2011 |
| Real-time accident detection: Coping with imbalanced data AB Parsa, H Taghipour, S Derrible, AK Mohammadian Accident Analysis & Prevention 129, 202-210, 2019 | 185 | 2019 |
| Comparison of four types of artificial neural network and a multinomial logit model for travel mode choice modeling D Lee, S Derrible, FC Pereira Transportation Research Record 2672 (49), 101-112, 2018 | 169 | 2018 |
| Modeling travel mode and timing decisions: Comparison of artificial neural networks and copula-based joint model N Golshani, R Shabanpour, SM Mahmoudifard, S Derrible, ... Travel Behaviour and Society 10, 21-32, 2018 | 134 | 2018 |
| The state of carbon footprint calculators: An evaluation of calculator design and user interaction features J Mulrow, K Machaj, J Deanes, S Derrible Sustainable Production and Consumption 18, 33-40, 2019 | 131 | 2019 |
| A protocol to convert spatial polyline data to network formats and applications to world urban road networks A Karduni, A Kermanshah, S Derrible Scientific data 3 (1), 1-7, 2016 | 131 | 2016 |
| Leveraging big data for the development of transport sustainability indicators CD Cottrill, S Derrible Journal of Urban Technology 22 (1), 45-64, 2015 | 131 | 2015 |
| Industrial symbiosis at the facility scale JS Mulrow, S Derrible, WS Ashton, SS Chopra Journal of Industrial Ecology 21 (3), 559-571, 2017 | 129 | 2017 |
| Development and application of the Pedestrian Environment Index (PEI) F Peiravian, S Derrible, F Ijaz Journal of Transport Geography 39, 73-84, 2014 | 122 | 2014 |
| The potential stickiness of pandemic-induced behavior changes in the United States D Salon, MW Conway, D Capasso da Silva, RS Chauhan, S Derrible, ... Proceedings of the National Academy of Sciences 118 (27), e2106499118, 2021 | 120 | 2021 |
| A geographical and multi-criteria vulnerability assessment of transportation networks against extreme earthquakes A Kermanshah, S Derrible Reliability Engineering & System Safety 153, 39-49, 2016 | 120 | 2016 |
| Multi-criteria robustness analysis of metro networks X Wang, Y Koç, S Derrible, SN Ahmad, WJA Pino, RE Kooij Physica A: Statistical Mechanics and its Applications 474, 19-31, 2017 | 115 | 2017 |
| Robustness of road systems to extreme flooding: using elements of GIS, travel demand, and network science A Kermanshah, S Derrible Natural hazards 86, 151-164, 2017 | 102 | 2017 |
| The Long-Term effects of COVID-19 on travel behavior in the United States: A panel study on work from home, mode choice, online shopping, and air travel M Javadinasr, T Maggasy, M Mohammadi, K Mohammadain, E Rahimi, ... Transportation research part F: traffic psychology and behaviour 90, 466-484, 2022 | 96 | 2022 |
| Development of an AI model to measure traffic air pollution from multisensor and weather data HB Ly, LM Le, LV Phi, VH Phan, VQ Tran, BT Pham, TT Le, S Derrible Sensors 19 (22), 4941, 2019 | 93 | 2019 |
