P. Aarnio

19 papers receiving 682 citations

P. Aarnio's Hit Papers

Modelling aerosol transport and virus exposure with numerical simulations in relation to SARS-CoV-2 transmission by inhalation indoors 2020 · 375 citations
3750+2+4Years since publication100200300

Peers

P. Aarnio
Comparison fields: 5 of 50
  • Atmospheric Science 175
  • Health, Toxicology and Mutagenesis 177
  • Pulmonary and Respiratory Medicine 293
  • General Dentistry 4
  • Environmental Engineering 89
Replace Mikko Auvinen with:
Mikko Auvinen Finland
Marianna Conte Italy
Ajit Ahlawat India
Jialei Shen China
Siqi Ai China
Marina N. Tautan Romania
Hong Ling China
Sumit Kumar Mishra India
Satya S. Patra United States
Sofia Eirini Chatoutsidou Greece
P. Aarnio relative to Mikko Auvinen Finland Mikko Auvinen's profile →
Citations per field
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Citations per year

Countries citing papers authored by P. Aarnio

Since Specialization
Citations

This map shows the geographic impact of P. Aarnio's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by P. Aarnio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Aarnio more than expected).

Fields of papers citing papers by P. Aarnio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Aarnio. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by P. Aarnio. The network helps show where P. Aarnio may publish in the future.

Co-authors

The 25 scholars most cited alongside P. Aarnio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with P. Aarnio Line = papers co-authored together P. Aarnio links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Modelling aerosol transport and virus exposure with numerical simulations in relation to SARS-CoV-2 transmission by inhalation indoors
Hit paper breakdown →
2020375
2 200574
3 201451
4 201648
5 200238
6 201833
7 200823
8 201418
9 202112
10 200210
11 20165
12 19993
13 19972
14 19982
15 20002
16 20012
17 20172
18 19961
19 20001
20 20161

About P. Aarnio

P. Aarnio is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis, Environmental Engineering, Automotive Engineering and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 704 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (18 papers), Air Quality and Health Impacts (8 papers), Air Quality Monitoring and Forecasting (6 papers), Infection Control and Ventilation (1 paper), Wind and Air Flow Studies (1 paper) and Vehicle emissions and performance (1 paper). The work is most often cited by research in Atmospheric Science (175 citations), Health, Toxicology and Mutagenesis (177 citations), Pulmonary and Respiratory Medicine (293 citations), General Dentistry (4 citations) and Environmental Engineering (89 citations). P. Aarnio has collaborated with scholars based in Finland, Netherlands and United Kingdom. Frequent co-authors include Jaakko Kukkonen, Tarja Koskentalo, Ari Karppinen, Anu Kousa, Mari Kauhaniemi, Leena Kangas, Markus Sillanpää, Heikki Tervahattu, Mia Pohjola and Jarkko Niemi. Their work appears in journals such as Journal of Aerosol Science, Atmospheric chemistry and physics, Geoscientific model development, Journal of Epidemiology & Community Health and Water Air and Soil Pollution Focus.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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