Mona Kurppa

1.6k total citations
21 papers, 412 citations indexed

About

Mona Kurppa is a scholar working on Environmental Engineering, Health, Toxicology and Mutagenesis and Atmospheric Science. According to data from OpenAlex, Mona Kurppa has authored 21 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Environmental Engineering, 15 papers in Health, Toxicology and Mutagenesis and 11 papers in Atmospheric Science. Recurrent topics in Mona Kurppa's work include Air Quality and Health Impacts (15 papers), Wind and Air Flow Studies (14 papers) and Atmospheric chemistry and aerosols (9 papers). Mona Kurppa is often cited by papers focused on Air Quality and Health Impacts (15 papers), Wind and Air Flow Studies (14 papers) and Atmospheric chemistry and aerosols (9 papers). Mona Kurppa collaborates with scholars based in Finland, Germany and Norway. Mona Kurppa's co-authors include Leena Järvi, Antti Hellsten, Mikko Auvinen, Timo Vesala, Siegfried Raasch, Jarkko V. Niemi, Ari Karppinen, Liisa Pirjola, Sami Haapanala and Björn Maronga and has published in prestigious journals such as The Science of The Total Environment, Atmospheric chemistry and physics and Environmental Modelling & Software.

In The Last Decade

Mona Kurppa

21 papers receiving 403 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mona Kurppa Finland 13 303 216 181 104 47 21 412
Yuanping He China 12 186 0.6× 201 0.9× 231 1.3× 111 1.1× 35 0.7× 25 437
Reneta Dimitrova Bulgaria 10 363 1.2× 210 1.0× 163 0.9× 113 1.1× 63 1.3× 29 506
Keer Zhang China 9 393 1.3× 198 0.9× 95 0.5× 124 1.2× 39 0.8× 18 517
Ondřej Vlček Czechia 9 189 0.6× 122 0.6× 132 0.7× 127 1.2× 21 0.4× 21 344
Justin J. N. Lingard United Kingdom 10 166 0.5× 230 1.1× 197 1.1× 94 0.9× 58 1.2× 12 382
Jaroslav Resler Czechia 14 369 1.2× 200 0.9× 138 0.8× 137 1.3× 15 0.3× 31 512
J.S. Scire United States 9 232 0.8× 151 0.7× 265 1.5× 161 1.5× 51 1.1× 19 449
D.R. Middleton United Kingdom 11 255 0.8× 273 1.3× 261 1.4× 136 1.3× 122 2.6× 16 454
Christine McHugh United Kingdom 8 310 1.0× 261 1.2× 143 0.8× 46 0.4× 103 2.2× 19 453
Taihan Chen China 9 463 1.5× 270 1.3× 77 0.4× 73 0.7× 24 0.5× 11 527

Countries citing papers authored by Mona Kurppa

Since Specialization
Citations

This map shows the geographic impact of Mona Kurppa'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 Mona Kurppa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mona Kurppa more than expected).

Fields of papers citing papers by Mona Kurppa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mona Kurppa. 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 Mona Kurppa. The network helps show where Mona Kurppa may publish in the future.

Co-authorship network of co-authors of Mona Kurppa

This figure shows the co-authorship network connecting the top 25 collaborators of Mona Kurppa. A scholar is included among the top collaborators of Mona Kurppa 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 Mona Kurppa. Mona Kurppa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Xiaoyu, et al.. (2023). Effect of radiation interaction and aerosol processes on ventilation and aerosol concentrations in a real urban neighbourhood in Helsinki. Atmospheric chemistry and physics. 23(16). 9347–9364. 6 indexed citations
2.
Johansson, Lasse, Ari Karppinen, Mona Kurppa, et al.. (2022). An operational urban air quality model ENFUSER, based on dispersion modelling and data assimilation. Environmental Modelling & Software. 156. 105460–105460. 20 indexed citations
3.
Sinclair, Victoria A., et al.. (2022). Boundary-layer height and surface stability at Hyytiälä, Finland, in ERA5 and observations. Atmospheric measurement techniques. 15(10). 3075–3103. 16 indexed citations
4.
Kurppa, Mona, et al.. (2022). Technical note: Dispersion of cooking-generated aerosols from an urban street canyon. Atmospheric chemistry and physics. 22(4). 2703–2726. 8 indexed citations
5.
Karl, Matthias, Liisa Pirjola, Tiia Grönholm, et al.. (2022). Description and evaluation of the community aerosol dynamics model MAFOR v2.0. Geoscientific model development. 15(9). 3969–4026. 12 indexed citations
6.
Järvi, Leena, Mona Kurppa, Heino Kuuluvainen, et al.. (2022). Determinants of spatial variability of air pollutant concentrations in a street canyon network measured using a mobile laboratory and a drone. The Science of The Total Environment. 856(Pt 1). 158974–158974. 25 indexed citations
7.
Belda, Michal, Jaroslav Resler, Jan Geletič, et al.. (2021). Sensitivity analysis of the PALM model system 6.0 in the urban environment. Geoscientific model development. 14(7). 4443–4464. 20 indexed citations
8.
Khan, Basit, Sabine Banzhaf, Renate Forkel, et al.. (2021). Development of an atmospheric chemistry model coupled to the PALM model system 6.0: implementation and first applications. Geoscientific model development. 14(2). 1171–1193. 29 indexed citations
9.
Kurppa, Mona, et al.. (2021). Machine-learning models to replicate large-eddy simulations of air pollutant concentrations along boulevard-type streets. Geoscientific model development. 14(12). 7411–7424. 7 indexed citations
11.
Petäjä, Tuukka, Pak Lun Fung, Jaakko Yli-Ojanperä, et al.. (2021). Added Value of Vaisala AQT530 Sensors as a Part of a Sensor Network for Comprehensive Air Quality Monitoring. Frontiers in Environmental Science. 9. 12 indexed citations
12.
Kurppa, Mona, et al.. (2020). Large-eddy simulation of the optimal street-tree layout for pedestrian-level aerosol particle concentrations – A case study from a city-boulevard. Atmospheric Environment X. 6. 100073–100073. 35 indexed citations
13.
Kurppa, Mona. (2020). Including aerosol dynamic processes in LES: evaluation and application. 2 indexed citations
15.
Kurppa, Mona, Pontus Roldin, Heino Kuuluvainen, et al.. (2020). Sensitivity of spatial aerosol particle distributions to the boundary conditions in the PALM model system 6.0. Geoscientific model development. 13(11). 5663–5685. 22 indexed citations
16.
Kurppa, Mona, Antti Hellsten, Pontus Roldin, et al.. (2019). Implementation of the sectional aerosol module SALSA2.0 into the PALM model system 6.0: model development and first evaluation. Geoscientific model development. 12(4). 1403–1422. 30 indexed citations
17.
Kurppa, Mona, Antti Hellsten, Mikko Auvinen, et al.. (2018). Ventilation and Air Quality in City Blocks Using Large-Eddy Simulation—Urban Planning Perspective. Atmosphere. 9(2). 65–65. 86 indexed citations
18.
Khan, Basit, Renate Forkel, Sabine Banzhaf, et al.. (2018). Development and Application of an Online Coupled Chemistry Urban Microscale Model PALM-4U. EGUGA. 7501. 1 indexed citations
19.
Järvi, Leena, Üllar Rannik, Tom Kokkonen, et al.. (2018). Uncertainty of eddy covariance flux measurements over an urban area based on two towers. Atmospheric measurement techniques. 11(10). 5421–5438. 27 indexed citations
20.
Rantala, Pekka, Leena Järvi, Risto Taipale, et al.. (2016). Anthropogenic and biogenic influence on VOC fluxes at an urban background site in Helsinki, Finland. Atmospheric chemistry and physics. 16(12). 7981–8007. 36 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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