Peter Huszár

1.4k total citations
44 papers, 772 citations indexed

About

Peter Huszár is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Peter Huszár has authored 44 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Atmospheric Science, 21 papers in Global and Planetary Change and 18 papers in Environmental Engineering. Recurrent topics in Peter Huszár's work include Atmospheric chemistry and aerosols (32 papers), Atmospheric Ozone and Climate (23 papers) and Urban Heat Island Mitigation (15 papers). Peter Huszár is often cited by papers focused on Atmospheric chemistry and aerosols (32 papers), Atmospheric Ozone and Climate (23 papers) and Urban Heat Island Mitigation (15 papers). Peter Huszár collaborates with scholars based in Czechia, Austria and France. Peter Huszár's co-authors include Tomáš Halenka, Jan Karlický, Michal Belda, Petr Pišoft, Jiří Mikšovský, Kateřina Šindelářová, Michal Žák, Eleni Katragkou, Prodromos Zanis and Dimitrios Melas and has published in prestigious journals such as Atmospheric Environment, Atmospheric chemistry and physics and Climatic Change.

In The Last Decade

Peter Huszár

42 papers receiving 763 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Huszár Czechia 18 579 337 333 330 79 44 772
Chune Shi China 16 524 0.9× 361 1.1× 422 1.3× 381 1.2× 37 0.5× 37 749
Jan Karlický Czechia 13 299 0.5× 233 0.7× 184 0.6× 186 0.6× 24 0.3× 29 436
F. Freedman United States 10 198 0.3× 257 0.8× 157 0.5× 268 0.8× 38 0.5× 17 443
Renske Timmermans Netherlands 15 653 1.1× 302 0.9× 385 1.2× 507 1.5× 141 1.8× 24 862
Christos Giannaros Greece 13 203 0.4× 192 0.6× 221 0.7× 182 0.6× 9 0.1× 31 453
K. Frans G. Olofson Sweden 5 147 0.3× 266 0.8× 159 0.5× 195 0.6× 43 0.5× 6 401
M. А. Lokoshchenko Russia 11 275 0.5× 227 0.7× 237 0.7× 150 0.5× 6 0.1× 40 456
A. M. Gabey United Kingdom 12 395 0.7× 428 1.3× 307 0.9× 479 1.5× 7 0.1× 16 818
E. Bossioli Greece 14 375 0.6× 128 0.4× 322 1.0× 193 0.6× 23 0.3× 28 474
Igor Sednev Israel 10 407 0.7× 142 0.4× 433 1.3× 61 0.2× 12 0.2× 12 565

Countries citing papers authored by Peter Huszár

Since Specialization
Citations

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

Fields of papers citing papers by Peter Huszár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Huszár

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Huszár. A scholar is included among the top collaborators of Peter Huszár 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 Peter Huszár. Peter Huszár 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.
2.
Belda, Michal, Jaroslav Resler, Peter Huszár, et al.. (2024). FUME 2.0 – Flexible Universal processor for Modeling Emissions. Geoscientific model development. 17(9). 3867–3878. 6 indexed citations
3.
Huszár, Peter, et al.. (2024). Modeling the drivers of fine PM pollution over Central Europe: impacts and contributions of emissions from different sources. Atmospheric chemistry and physics. 24(7). 4347–4387. 6 indexed citations
4.
Huszár, Peter, et al.. (2023). Modelling the European wind-blown dust emissions and their impact on particulate matter (PM) concentrations. Atmospheric chemistry and physics. 23(6). 3629–3654. 12 indexed citations
5.
Resler, Jaroslav, Kryštof Eben, Jan Geletič, et al.. (2021). Validation of the PALM model system 6.0 in a real urban environment: a case study in Dejvice, Prague, the Czech Republic. Geoscientific model development. 14(8). 4797–4842. 48 indexed citations
6.
Huszár, Peter, Jan Karlický, Jana Ďoubalová, et al.. (2020). Urban canopy meteorological forcing and its impact on ozone and PM 2.5 : role of vertical turbulent transport. Atmospheric chemistry and physics. 20(4). 1977–2016. 26 indexed citations
7.
Karlický, Jan, et al.. (2020). The “urban meteorology island”: a multi-model ensemble analysis. Atmospheric chemistry and physics. 20(23). 15061–15077. 27 indexed citations
8.
Resler, Jaroslav, Kryštof Eben, Jan Geletič, et al.. (2020). Validation of the PALM model system 6.0 in real urban environment; case study of Prague-Dejvice, Czech Republic. 13 indexed citations
9.
Huszár, Peter, Jan Karlický, Jana Ďoubalová, et al.. (2020). The impact of urban land-surface on extreme air pollution over central Europe. Atmospheric chemistry and physics. 20(20). 11655–11681. 21 indexed citations
10.
Ďoubalová, Jana, Peter Huszár, Kryštof Eben, et al.. (2020). High Resolution Air Quality Forecasting over Prague within the URBI PRAGENSI Project: Model Performance during the Winter Period and the Effect of Urban Parameterization on PM. Atmosphere. 11(6). 625–625. 13 indexed citations
11.
Huszár, Peter, et al.. (2018). Impact of urban canopy meteorological forcing on aerosol concentrations. Atmospheric chemistry and physics. 18(19). 14059–14078. 17 indexed citations
12.
Belda, Michal, et al.. (2018). Do we need urban parameterization in high resolution regional climate simulations. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
13.
Karlický, Jan, Peter Huszár, Tomáš Halenka, et al.. (2018). Multi-model comparison of urban heat island modelling approaches. Atmospheric chemistry and physics. 18(14). 10655–10674. 29 indexed citations
14.
Karlický, Jan, Peter Huszár, & Tomáš Halenka. (2017). Validation of gas phase chemistry in the WRF-Chem model over Europe. Advances in science and research. 14. 181–186. 25 indexed citations
15.
Huszár, Peter, Michal Belda, Jan Karlický, Petr Pišoft, & Tomáš Halenka. (2016). The regional impact of urban emissions on climate over central Europe: present and future emission perspectives. Atmospheric chemistry and physics. 16(20). 12993–13013. 9 indexed citations
16.
Huszár, Peter, Michal Belda, & Tomáš Halenka. (2016). On the long-term impact of emissions from central European cities on regional air quality. Atmospheric chemistry and physics. 16(3). 1331–1352. 32 indexed citations
17.
Huszár, Peter, et al.. (2014). Regional climate model assessment of the urban land-surface forcing over central Europe. Atmospheric chemistry and physics. 14(22). 12393–12413. 37 indexed citations
18.
Ricaud, Philippe, L. El Amraoui, Jean‐Luc Attié, et al.. (2014). Variability of tropospheric methane above the Mediterranean Basin inferred from satellite and model data. 1 indexed citations
19.
Huszár, Peter, H. Teyssèdre, Martine Michou, et al.. (2013). Modeling the present and future impact of aviation on climate: an AOGCM approach with online coupled chemistry. Atmospheric chemistry and physics. 13(19). 10027–10048. 16 indexed citations
20.
Krüger, B. C., Eleni Katragkou, I. Tegoulias, et al.. (2008). Regional photochemical model calculations for Europe concerning ozone levels in a changing climate. 112. 285–300. 12 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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