40 citations as recorded by crossref.

1. Air quality around schools and school-level academic performance in Brazil W. Requia et al. 10.1016/j.atmosenv.2022.119125
2. A systematic literature review on indoor PM2.5 concentrations and personal exposure in urban residential buildings Y. Liu et al. 10.1016/j.heliyon.2022.e10174
3. The influence of spatiality on shipping emissions, air quality and potential human exposure in the Yangtze River Delta/Shanghai, China J. Feng et al. 10.5194/acp-19-6167-2019
4. Health impacts of PM2.5 originating from residential wood combustion in four nordic cities H. Orru et al. 10.1186/s12889-022-13622-x
5. Localizing SDG 11.6.2 via Earth Observation, Modelling Applications, and Harmonised City Definitions: Policy Implications on Addressing Air Pollution J. Bailey et al. 10.3390/rs15041082
6. Characterization of particle sources and comparison of different particle metrics in an urban detached housing area, Finland K. Teinilä et al. 10.1016/j.atmosenv.2022.118939
7. Contributions of traffic and shipping emissions to city-scale NOx and PM2.5 exposure in Hamburg M. Ramacher et al. 10.1016/j.atmosenv.2020.117674
8. Modelling of the public health costs of fine particulate matter and results for Finland in 2015 J. Kukkonen et al. 10.5194/acp-20-9371-2020
9. Influence of spatial resolution on population PM2.5 exposure and health impacts A. Korhonen et al. 10.1007/s11869-019-00690-z
10. Health impact assessments of shipping and port-sourced air pollution on a global scale: A scoping literature review N. Mueller et al. 10.1016/j.envres.2022.114460
11. Schools exposure to air pollution sources in Brazil: A nationwide assessment of more than 180 thousand schools W. Requia et al. 10.1016/j.scitotenv.2020.143027
12. Spatio-temporal analysis of particulate matter intake fractions for vehicular emissions: Hourly variation by micro-environments in the Greater Toronto and Hamilton Area, Canada W. Requia et al. 10.1016/j.scitotenv.2017.05.134
13. Human impacts and their interactions in the Baltic Sea region M. Reckermann et al. 10.5194/esd-13-1-2022
14. Changes in urban air pollution after a shift in anthropogenic activity analysed with ensemble learning, competitive learning and unsupervised clustering M. Hulkkonen et al. 10.1016/j.apr.2022.101393
15. A stochastic exposure model integrating random forest and agent-based approaches: Evaluation for PM2.5 in Jiangsu, China Q. Zhou et al. 10.1016/j.jhazmat.2022.128639
16. Effect of vehicle fleet composition and mobility on outdoor population exposure: A street resolution analysis in Paris L. Lugon et al. 10.1016/j.apr.2022.101365
17. Evaluation of multidecadal high-resolution atmospheric chemistry-transport modelling for exposure assessments in the continental Nordic countries L. Frohn et al. 10.1016/j.atmosenv.2022.119334
18. Air emissions from ships in port: Does regulation make a difference? M. Tichavska et al. 10.1016/j.tranpol.2017.03.003
19. Why local air pollution is more than daily peaks: modelling policies in a city in order to avoid premature deaths D. Behrens et al. 10.1007/s10100-018-0534-y
20. Exposure to traffic-related particle matter and effects on lung function and potential interactions in a cross-sectional analysis of a cohort study in west Sweden H. Carlsen et al. 10.1136/bmjopen-2019-034136
21. Impact of COVID-19 lockdown on NO2 and PM2.5 exposure inequalities in London, UK V. Kazakos et al. 10.1016/j.envres.2021.111236
22. A multipollutant evaluation of APEX using microenvironmental ozone, carbon monoxide, and particulate matter (PM2.5) concentrations measured in Los Angeles by the exposure classification project T. Johnson et al. 10.1080/23311843.2018.1453022
23. Modeling and measurements of urban aerosol processes on the neighborhood scale in Rotterdam, Oslo and Helsinki M. Karl et al. 10.5194/acp-16-4817-2016
24. An approach to predict population exposure to ambient air PM2.5 concentrations and its dependence on population activity for the megacity London V. Singh et al. 10.1016/j.envpol.2019.113623
25. On the mathematical modelling and data assimilation for air pollution assessment in the Tropical Andes O. Montoya et al. 10.1007/s11356-020-08268-4
26. Modelling of the urban concentrations of PM<sub>2.5</sub> on a high resolution for a period of 35 years, for the assessment of lifetime exposure and health effects J. Kukkonen et al. 10.5194/acp-18-8041-2018
27. The impact of ship emissions on air quality and human health in the Gothenburg area – Part II: Scenarios for 2040 M. Ramacher et al. 10.5194/acp-20-10667-2020
28. Trends in population exposure to particulate matter in urban areas of Greece during the last decade V. Aleksandropoulou & M. Lazaridis 10.1016/j.scitotenv.2016.12.148
29. SiSeRHMap v1.0: a simulator for mapped seismic response using a hybrid model G. Grelle et al. 10.5194/gmd-9-1567-2016
30. Urban population exposure to NO<sub><i>x</i></sub> emissions from local shipping in three Baltic Sea harbour cities – a generic approach M. Ramacher et al. 10.5194/acp-19-9153-2019
31. Modelling infiltration rate impacts on indoor air quality R. Jose & J. Perez-Camanyo 10.1016/j.ijft.2023.100284
32. Modelling the dispersion of particle numbers in five European cities J. Kukkonen et al. 10.5194/gmd-9-451-2016
33. Modeling of the Concentrations of Ultrafine Particles in the Plumes of Ships in the Vicinity of Major Harbors M. Karl et al. 10.3390/ijerph17030777
34. Particulate matter intake fractions for vehicular emissions at elementary schools in Hamilton, Canada: an assessment of outdoor and indoor exposure W. Requia et al. 10.1007/s11869-017-0510-z
35. Evaluation of the impact of wood combustion on benzo[<i>a</i>]pyrene (BaP) concentrations; ambient measurements and dispersion modeling in Helsinki, Finland H. Hellén et al. 10.5194/acp-17-3475-2017
36. The contribution of residential wood combustion to the PM2.5 concentrations in the Helsinki metropolitan area L. Kangas et al. 10.5194/acp-24-1489-2024
37. Advances in air quality research – current and emerging challenges R. Sokhi et al. 10.5194/acp-22-4615-2022
38. In-car occupants' exposure to airborne fine particles under different ventilation settings: Practical implications P. Tran et al. 10.1016/j.atmosenv.2023.120271
39. EXPLUME v1.0: a model for personal exposure to ambient O<sub>3</sub> and PM<sub>2.5</sub> M. Valari et al. 10.5194/gmd-13-1075-2020
40. 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 10.3390/ijerph17062099