86 citations as recorded by crossref.

1. Sources and health effects of fine and ultrafine aerosol particles in an urban environment V. Groma et al. 10.1016/j.apr.2021.101302
2. Concentration, sources, influencing factors and hazards of heavy metals in indoor and outdoor dust: A review H. Chu et al. 10.1007/s10311-022-01546-2
3. The covariance of air quality conditions in six cities in Southern Germany - The role of meteorology K. Dimitriou & P. Kassomenos 10.1016/j.scitotenv.2016.08.200
4. An approach for cancer risk-based apportionment of PM2.5 constituents and sources A. Pathak et al. 10.1080/10807039.2022.2033612
5. Background concentrations of benzene, potential long range transport influences and corresponding cancer risk in four cities of central Europe, in relation to air mass origination K. Dimitriou & P. Kassomenos 10.1016/j.jenvman.2020.110374
6. Interpretation of particle number size distributions measured across an urban area during the FASTER campaign R. Harrison et al. 10.5194/acp-19-39-2019
7. Modelling the dispersion of particle numbers in five European cities J. Kukkonen et al. 10.5194/gmd-9-451-2016
8. Long-Term Changes of Source Apportioned Particle Number Concentrations in a Metropolitan Area of the Northeastern United States S. Squizzato et al. 10.3390/atmos10010027
9. Inter-annual trends of ultrafine particles in urban Europe M. Garcia-Marlès et al. 10.1016/j.envint.2024.108510
10. Impact of urban aerosols on the cloud condensation activity using a clustering model F. Rejano et al. 10.1016/j.scitotenv.2022.159657
11. Source apportionment of fine and coarse particles at a roadside and urban background site in London during the 2012 summer ClearfLo campaign L. Crilley et al. 10.1016/j.envpol.2016.06.002
12. Summertime fluorescent bioaerosol particles in the coastal megacity Tianjin, North China B. Cheng et al. 10.1016/j.scitotenv.2020.137966
13. Non-exhaust vehicle emissions of particulate matter and VOC from road traffic: A review R. Harrison et al. 10.1016/j.atmosenv.2021.118592
14. Relative contributions of a major international airport activities and other urban sources to the particle number concentrations (PNCs) at a nearby monitoring site M. Pirhadi et al. 10.1016/j.envpol.2020.114027
15. Towards comprehensive air quality management using low-cost sensors for pollution source apportionment D. Bousiotis et al. 10.1038/s41612-023-00424-0
16. Source apportionment of ultrafine particles in urban Europe M. Garcia-Marlès et al. 10.1016/j.envint.2024.109149
17. The effect of meteorological conditions and atmospheric composition in the occurrence and development of new particle formation (NPF) events in Europe D. Bousiotis et al. 10.5194/acp-21-3345-2021
18. Receptor modelling of both particle composition and size distribution from a background site in London, UK – a two-step approach D. Beddows & R. Harrison 10.5194/acp-19-4863-2019
19. Spatial trends and sources of PM2.5 organic carbon volatility fractions (OCx) across the Los Angeles Basin E. Soleimanian et al. 10.1016/j.atmosenv.2019.04.027
20. Conventional air pollutant source determination using bivariate polar plot in Black Sea, Turkey K. Demirarslan & M. Zeybek 10.1007/s10668-021-01553-3
21. Quantifying traffic, biomass burning and secondary source contributions to atmospheric particle number concentrations at urban and suburban sites J. Casquero-Vera et al. 10.1016/j.scitotenv.2021.145282
22. Efficient data preprocessing, episode classification, and source apportionment of particle number concentrations C. Liang et al. 10.1016/j.scitotenv.2020.140923
23. Airborne particle number concentrations in China: A critical review Y. Zhu et al. 10.1016/j.envpol.2022.119470
24. Understanding the origins of urban particulate matter pollution based on high-density vehicle-based sensor monitoring and big data analysis Y. Liang et al. 10.1016/j.uclim.2024.102241
25. Determinants of black carbon, particle mass and number concentrations in London transport microenvironments I. Rivas et al. 10.1016/j.atmosenv.2017.05.004
26. Vertical and horizontal variability of PM<sub>10</sub> source contributions in Barcelona during SAPUSS M. Brines et al. 10.5194/acp-16-6785-2016
27. Source apportionment of aerosol particles at a European air pollution hot spot using particle number size distributions and chemical composition C. Leoni et al. 10.1016/j.envpol.2017.10.097
28. Positive matrix factorization on source apportionment for typical pollutants in different environmental media: a review X. Sun et al. 10.1039/C9EM00529C
29. Non-exhaust traffic emissions: Sources, characterization, and mitigation measures A. Piscitello et al. 10.1016/j.scitotenv.2020.144440
30. A combined toxicological impact on Artemia salina caused by the presence of dust particles, microplastics from cosmetics, and paracetamol G. Saha & N. Chandrasekaran 10.1016/j.envpol.2024.123822
31. State of the art on challenges for friction material manufacturers – raw materials, regulations, environmental, and NVH aspects M. Balaji et al. 10.1177/13506501221135071
32. A hierarchical modelling approach to assess multi pollutant effects in time-series studies M. Blangiardo et al. 10.1371/journal.pone.0212565
33. A dependent Bayesian Dirichlet process model for source apportionment of particle number size distribution O. Baerenbold et al. 10.1002/env.2763
34. Long-term trends in PM2.5 mass and particle number concentrations in urban air: The impacts of mitigation measures and extreme events due to changing climates A. Lorelei de Jesus et al. 10.1016/j.envpol.2020.114500
35. A study on the performance of low-cost sensors for source apportionment at an urban background site D. Bousiotis et al. 10.5194/amt-15-4047-2022
36. Chemically speciated mass size distribution, particle density, shape and origin of non-refractory PM1 measured at a rural background site in central Europe P. Pokorná et al. 10.5194/acp-22-5829-2022
37. Monitoring and apportioning sources of indoor air quality using low-cost particulate matter sensors D. Bousiotis et al. 10.1016/j.envint.2023.107907
38. Heavy vehicles’ non-exhaust exhibits competitive contribution to PM2.5 compared with exhaust in port and nearby areas T. Fang et al. 10.1016/j.envpol.2023.122124
39. Source apportionment of ambient particle number concentrations in central Los Angeles using positive matrix factorization (PMF) M. Sowlat et al. 10.5194/acp-16-4849-2016
40. Quantification of Non-Exhaust Particulate Matter Traffic Emissions and the Impact of COVID-19 Lockdown at London Marylebone Road W. Hicks et al. 10.3390/atmos12020190
41. Understanding Sources and Drivers of Size-Resolved Aerosol in the High Arctic Islands of Svalbard Using a Receptor Model Coupled with Machine Learning C. Song et al. 10.1021/acs.est.1c07796
42. Novel insights on new particle formation derived from a pan-european observing system M. Dall’Osto et al. 10.1038/s41598-017-17343-9
43. Identification of particulate matter (PM10 and PM2.5) sources using bivariate polar plots and k-means clustering in a South American megacity: Metropolitan Area of Lima-Callao, Peru J. Espinoza-Guillen et al. 10.1007/s10661-025-13696-1
44. Students exposure assessment towards PM number concentration while commuting from different transport modes during school timings S. Chaudhry & S. Elumalai 10.1007/s00477-020-01902-0
45. Impact of COVID-19 restrictions on hourly levels of PM10, PM2.5 and black carbon at an industrial suburban site in northern Spain R. Lara et al. 10.1016/j.atmosenv.2023.119781
46. A meteorological analysis of PM10 episodes at a high altitude city and a low altitude city in central Greece – The impact of wood burning heating devices K. Dimitriou & P. Kassomenos 10.1016/j.atmosres.2018.08.014
47. Analysis of new particle formation (NPF) events at nearby rural, urban background and urban roadside sites D. Bousiotis et al. 10.5194/acp-19-5679-2019
48. Vertical and horizontal distribution of regional new particle formation events in Madrid C. Carnerero et al. 10.5194/acp-18-16601-2018
49. Comprehensive assessment of PM2.5 physicochemical properties during the Southeast Asia dry season (southwest monsoon) M. Khan et al. 10.1002/2016JD025894
50. Strong evidence for the continued contribution of lead deposited during the 20th century to the atmospheric environment in London of today E. Resongles et al. 10.1073/pnas.2102791118
51. Estimation of hygroscopic growth properties of source-related sub-micrometre particle types in a mixed urban aerosol T. Vu et al. 10.1038/s41612-021-00175-w
52. Short-term exposure to traffic-related air pollution and daily mortality in London, UK R. Atkinson et al. 10.1038/jes.2015.65
53. Seasonal variability in chemical composition and source apportionment of sub-micron aerosol over a high altitude site in Western Ghats, India S. Mukherjee et al. 10.1016/j.atmosenv.2018.02.048
54. Chemical Characteristics and Source Apportionment of PM10 Using PMF Receptor Modelling Approach for Western Parts of Indian Industrial Area. S. Nihalani et al. 10.1007/s41810-024-00240-w
55. Quantifying daily contributions of source regions to PM concentrations in Marseille based on the trails of incoming air masses K. Dimitriou & P. Kassomenos 10.1007/s11869-018-0564-6
56. Diesel exhaust nanoparticles and their behaviour in the atmosphere R. Harrison et al. 10.1098/rspa.2018.0492
57. Impact of battery electric vehicles on ventilation design for road tunnels: A review X. Wang et al. 10.1016/j.tust.2023.105013
58. Sources of sub-micrometre particles near a major international airport M. Masiol et al. 10.5194/acp-17-12379-2017
59. Assessing the contribution of regional sources to urban air pollution by applying 3D-PSCF modeling K. Dimitriou et al. 10.1016/j.atmosres.2020.105187
60. Ultrafine particles and PM2.5 in the air of cities around the world: Are they representative of each other? A. de Jesus et al. 10.1016/j.envint.2019.05.021
61. Size-resolved, quantitative evaluation of the magnetic mineralogy of airborne brake-wear particulate emissions T. Gonet et al. 10.1016/j.envpol.2021.117808
62. Assessing the sources of particles at an urban background site using both regulatory instruments and low-cost sensors – a comparative study D. Bousiotis et al. 10.5194/amt-14-4139-2021
63. PM2.5 chemical composition at a rural background site in Central Europe, including correlation and air mass back trajectory analysis J. Schwarz et al. 10.1016/j.atmosres.2016.02.017
64. Differential health effects of short-term exposure to source-specific particles in London, U.K. E. Samoli et al. 10.1016/j.envint.2016.09.017
65. Global analysis of continental boundary layer new particle formation based on long-term measurements T. Nieminen et al. 10.5194/acp-18-14737-2018
66. Spatial-temporal variability of aerosol sources based on chemical composition and particle number size distributions in an urban settlement influenced by metallurgical industry P. Pokorná et al. 10.1007/s11356-020-09694-0
67. Traffic, marine ships and nucleation as the main sources of ultrafine particles in suburban Shanghai, China Q. Wang et al. 10.1039/D3EA00096F
68. Source apportionment of particle number size distribution in urban background and traffic stations in four European cities I. Rivas et al. 10.1016/j.envint.2019.105345
69. Physicochemical factors and their potential sources inferred from long-term rainfall measurements at an urban and a remote rural site in tropical areas M. Khan et al. 10.1016/j.scitotenv.2017.08.025
70. Sources of particle number concentration and noise near London Gatwick Airport A. Tremper et al. 10.1016/j.envint.2022.107092
71. Attribution of aerosol particle number size distributions to main sources using an 11-year urban dataset M. Vörösmarty et al. 10.5194/acp-24-5695-2024
72. Experimental and model estimates of the contributions from biogenic monoterpenes and sesquiterpenes to secondary organic aerosol in the southeastern United States L. Xu et al. 10.5194/acp-18-12613-2018
73. Modelling particle number size distribution: a continuous approach I. Martínez-Hernández et al. 10.1093/jrsssc/qlae053
74. Insights into the sources of ultrafine particle numbers at six European urban sites obtained by investigating COVID-19 lockdowns A. Rowell et al. 10.5194/acp-24-9515-2024
75. Spatial patterns and temporal variations of six criteria air pollutants during 2015 to 2017 in the city clusters of Sichuan Basin, China S. Zhao et al. 10.1016/j.scitotenv.2017.12.172
76. Source apportionment of ambient PM2.5 in two locations in central Tehran using the Positive Matrix Factorization (PMF) model S. Taghvaee et al. 10.1016/j.scitotenv.2018.02.096
77. Source-oriented risk and lung-deposited surface area (LDSA) of ultrafine particles in a Southeast Asia urban area T. Chen et al. 10.1016/j.scitotenv.2023.161733
78. Using low-cost sensors to assess common air pollution sources across multiple residences C. Rathbone et al. 10.1038/s41598-025-85985-1
79. Source apportionment of atmospheric particle number concentrations with wide size range by nonnegative matrix factorization (NMF) C. Liang et al. 10.1016/j.envpol.2021.117846
80. Pinpointing sources of pollution using citizen science and hyperlocal low-cost mobile source apportionment D. Bousiotis et al. 10.1016/j.envint.2024.109069
81. Isotopic signatures suggest important contributions from recycled gasoline, road dust and non-exhaust traffic sources for copper, zinc and lead in PM10 in London, United Kingdom S. Dong et al. 10.1016/j.atmosenv.2017.06.020
82. Source apportionment of fine and ultrafine particle number concentrations in a major city of the Eastern Mediterranean P. Kalkavouras et al. 10.1016/j.scitotenv.2024.170042
83. Using miniaturised scanning mobility particle sizers to observe size distribution patterns of quasi-ultrafine aerosols inhaled during city commuting T. Moreno et al. 10.1016/j.envres.2020.109978
84. Airborne particulate matter in Southeast Asia: a review on variation, chemical compositions and source apportionment S. Saksakulkrai et al. 10.1071/EN22044
85. Traffic and nucleation events as main sources of ultrafine particles in high-insolation developed world cities M. Brines et al. 10.5194/acp-15-5929-2015
86. Aerosol characterization over the southeastern United States using high-resolution aerosol mass spectrometry: spatial and seasonal variation of aerosol composition and sources with a focus on organic nitrates L. Xu et al. 10.5194/acp-15-7307-2015