P. Aarnio

599 total citations
19 papers, 372 citations indexed

About

P. Aarnio is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Automotive Engineering. According to data from OpenAlex, P. Aarnio has authored 19 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Atmospheric Science, 11 papers in Health, Toxicology and Mutagenesis and 10 papers in Automotive Engineering. Recurrent topics in P. Aarnio's work include Atmospheric chemistry and aerosols (12 papers), Air Quality and Health Impacts (11 papers) and Vehicle emissions and performance (10 papers). P. Aarnio is often cited by papers focused on Atmospheric chemistry and aerosols (12 papers), Air Quality and Health Impacts (11 papers) and Vehicle emissions and performance (10 papers). P. Aarnio collaborates with scholars based in Finland, Netherlands and United Kingdom. P. Aarnio's co-authors include Ilkka Kunnamo, Jaakko Kukkonen, Tarja Koskentalo, Ari Karppinen, Anu Kousa, Leena Kangas, Mari Kauhaniemi, Markus Sillanpää, Ulla Makkonen and Jarkko V. Niemi and has published in prestigious journals such as Atmospheric Environment, Atmospheric chemistry and physics and Journal of Epidemiology & Community Health.

In The Last Decade

P. Aarnio

17 papers receiving 349 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
P. Aarnio Finland 9 223 159 99 81 65 19 372
F. Gyárfáŝ Austria 9 159 0.7× 147 0.9× 113 1.1× 78 1.0× 24 0.4× 20 420
Filipe Lima Santos Portugal 6 133 0.6× 88 0.6× 28 0.3× 56 0.7× 17 0.3× 18 458
Marco Bedogni Italy 10 286 1.3× 258 1.6× 109 1.1× 157 1.9× 8 0.1× 21 454
I. Annesi‐Maesano France 9 264 1.2× 39 0.2× 27 0.3× 77 1.0× 23 0.4× 14 550
Chris Lim Ireland 6 365 1.6× 41 0.3× 21 0.2× 123 1.5× 20 0.3× 11 496
Christophe Declercq France 9 482 2.2× 86 0.5× 71 0.7× 177 2.2× 30 0.5× 25 601
Eun Ha Park South Korea 9 239 1.1× 128 0.8× 40 0.4× 100 1.2× 239 3.7× 17 551
Ju Hyeon Oh South Korea 12 230 1.0× 43 0.3× 16 0.2× 120 1.5× 21 0.3× 51 507
Nicola Pepe Italy 9 178 0.8× 76 0.5× 46 0.5× 131 1.6× 9 0.1× 21 263
Elda Graziani Italy 7 205 0.9× 37 0.2× 40 0.4× 38 0.5× 42 0.6× 13 530

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-authorship network of co-authors of P. Aarnio

This figure shows the co-authorship network connecting the top 25 collaborators of P. Aarnio. A scholar is included among the top collaborators of P. Aarnio based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with P. Aarnio. P. Aarnio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Tervahattu, Heikki, et al.. (2024). Composition and origins of aerosol during a high PM10 episode in Finland. Boreal Environment Research Journal Archive. 1 indexed citations
2.
Aarnio, P., Jaakko Kukkonen, Leena Kangas, et al.. (2024). Modelling of particulate matter concentrations and source contributions in the Helsinki Metropolitan Area in 2008 and 2010. Työväentutkimus Vuosikirja.
3.
Aarnio, P., et al.. (2024). Meteorological evaluation of a severe air pollution episode in Helsinki on 27–29 December 1995. Boreal Environment Research Journal Archive. 1 indexed citations
4.
Yli‐Tuomi, Tarja, Pekka Tiittanen, Anu W. Turunen, et al.. (2021). Long-term exposure to ambient fine particulate matter originating from traffic and residential wood combustion and the prevalence of depression. Journal of Epidemiology & Community Health. 75(11). 1111–1116. 9 indexed citations
5.
Kukkonen, Jaakko, Leena Kangas, Mari Kauhaniemi, et al.. (2018). Modelling of the urban concentrations of PM 2.5 on a high resolution for a period of 35 years, for the assessment of lifetime exposure and health effects. Atmospheric chemistry and physics. 18(11). 8041–8064. 28 indexed citations
6.
Kukkonen, Jaakko, Matthias Karl, Menno Keuken, et al.. (2016). Modelling the dispersion of particle numbers in five European cities. Geoscientific model development. 9(2). 451–478. 38 indexed citations
7.
Soares, Joana, Anu Kousa, Jaakko Kukkonen, et al.. (2014). Refinement of a model for evaluating the population exposure in an urban area. Geoscientific model development. 7(5). 1855–1872. 44 indexed citations
8.
Soares, Joana, Anu Kousa, Jaakko Kukkonen, et al.. (2014). Refinement of a model for evaluating the population exposure in an urban area. 1 indexed citations
9.
Kauhaniemi, Mari, Liisa Pirjola, Ari Karppinen, et al.. (2014). Comparison of the predictions of two road dust emission models with the measurements of a mobile van. Atmospheric chemistry and physics. 14(17). 9155–9169. 13 indexed citations
10.
Kauhaniemi, Mari, Ari Karppinen, Anu Kousa, et al.. (2008). Evaluation of a modelling system for predicting the concentrations of PM2.5 in an urban area. Atmospheric Environment. 42(19). 4517–4529. 24 indexed citations
11.
Niemi, Jarkko V., Heikki Tervahattu, Hanna Vehkamäki, et al.. (2005). Characterization of aerosol particle episodes in Finland caused by wildfires in Eastern Europe. Atmospheric chemistry and physics. 5(8). 2299–2310. 71 indexed citations
12.
Pohjola, Mia, Anu Kousa, Jaakko Kukkonen, et al.. (2002). The Spatial and Temporal Variation of Measured Urban PM10 and PM2.5 in the Helsinki Metropolitan Area. Water Air and Soil Pollution Focus. 2(5-6). 189–201. 35 indexed citations
13.
Sillanpää, Markus, Risto Hillamo, Veli‐Matti Kerminen, Tarja Koskentalo, & P. Aarnio. (2001). PM10IN DOWNTOWN HELSINKI – COMPARISON BETWEEN DIFFERENT DEVICES. Journal of Aerosol Science. 32. 777–778. 1 indexed citations
14.
Pohjola, Mia, Anu Kousa, P. Aarnio, et al.. (2000). Meteorological Interpretation Of MeasuredUrban PM 2.5 And PM 10 Concentrations In TheHelsinki Metropolitan Area. WIT Transactions on Ecology and the Environment. 42. 1 indexed citations
15.
Pakkanen, T., R. Hillamo, Minna Aurela, et al.. (2000). Ultrafine particles (PM0.1) in the Helsinki area. Journal of Aerosol Science. 31. 522–523. 2 indexed citations
16.
Pakkanen, T., R. Hillamo, Mika Aurela, et al.. (1999). Mass balance of atmospheric fine particles in the Helsinki area. Journal of Aerosol Science. 30. S275–S276. 2 indexed citations
17.
Pakkanen, T., et al.. (1998). Size segregated aerosol measurements at 3.5 and 20 M heights in Helsinki. Journal of Aerosol Science. 29. S245–S246. 2 indexed citations
18.
Pakkanen, T., et al.. (1997). Identification of sources of atmospheric particles in the Helsinki area. Journal of Aerosol Science. 28. S553–S554. 1 indexed citations
19.
Aarnio, P., et al.. (1993). Are smokers a risk group for delayed healing of tibial shaft fractures?. PubMed. 82(4). 254–62. 98 indexed citations

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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