12 citations as recorded by crossref.

1. Source-resolved variability of fine particulate matter and human exposure in an urban area P. Garcia Rivera et al. https://doi.org/10.5194/acp-22-2011-2022
2. Addressing the issue of exposure to primary pollution in urban areas: Application to Greater Paris A. Elessa Etuman et al. https://doi.org/10.1016/j.atmosenv.2020.117661
3. Depoliticised environmental policies: Low-carbon action in the Paris urban region O. Coutard & C. Gallez https://doi.org/10.1177/00420980251324112
4. OLYMPUS: An emission model to connect urban form, individual practices and atmospheric pollutant release A. Elessa Etuman et al. https://doi.org/10.1016/j.atmosenv.2020.118013
5. Modeling Exposure to Mobility-Related Pollution: Review and Key Challenges P. Gastineau et al. https://doi.org/10.1177/03611981231208907
6. Deep learning approach to predict microscopic pollutant emissions from mesoscopic traffic simulations A. Dib et al. https://doi.org/10.1016/j.trd.2025.104791
7. Integrating Modes of Transport in a Dynamic Modelling Approach to Evaluate Population Exposure to Ambient NO2 and PM2.5 Pollution in Urban Areas M. Ramacher & M. Karl https://doi.org/10.3390/ijerph17062099
8. Environmental Simulation Model Using System Dynamics to Estimate Air Pollution: A Case Study of Mexico City Metropolitan Area H. Godínez Cárdenas et al. https://doi.org/10.3390/su16198359
9. State of the Art Emission Inventory and Their Application: Literature review P. Lavrič et al. https://doi.org/10.2478/ijser-2022-0004
10. Integrating mobility data into air pollution research for public health Q. Wang et al. https://doi.org/10.1038/s44360-026-00056-7
11. Advances in air quality research – current and emerging challenges R. Sokhi et al. https://doi.org/10.5194/acp-22-4615-2022
12. Transport emission models: A bibliometric and content analysis . Huma Rauf et al. https://doi.org/10.31580/jpvai.v5i2.2530