Ádám Leelőssy

596 total citations
19 papers, 375 citations indexed

About

Ádám Leelőssy is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Ádám Leelőssy has authored 19 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Atmospheric Science, 9 papers in Global and Planetary Change and 6 papers in Environmental Engineering. Recurrent topics in Ádám Leelőssy's work include Atmospheric chemistry and aerosols (8 papers), Radioactive contamination and transfer (5 papers) and Air Quality and Health Impacts (4 papers). Ádám Leelőssy is often cited by papers focused on Atmospheric chemistry and aerosols (8 papers), Radioactive contamination and transfer (5 papers) and Air Quality and Health Impacts (4 papers). Ádám Leelőssy collaborates with scholars based in Hungary, Serbia and Switzerland. Ádám Leelőssy's co-authors include Róbert Mészáros, István Lagzi, Ágnes Havasi, Ferenc Molnár, Ferenc Izsák, Tibor Kovács, László Palcsu, E. László, Domokos Esztergár‐Kiss and Tamás Tettamanti and has published in prestigious journals such as PLoS ONE, Scientific Reports and Atmospheric Environment.

In The Last Decade

Ádám Leelőssy

16 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ádám Leelőssy Hungary 8 171 152 141 132 56 19 375
Abdullah N. Al–Dabbous Kuwait 10 184 1.1× 62 0.4× 107 0.8× 281 2.1× 25 0.4× 16 416
J.S. Scire United States 9 232 1.4× 161 1.1× 265 1.9× 151 1.1× 22 0.4× 19 449
D M Butterfield United Kingdom 12 125 0.7× 102 0.7× 268 1.9× 372 2.8× 7 0.1× 38 562
V. Aleksandropoulou Greece 14 166 1.0× 115 0.8× 210 1.5× 377 2.9× 10 0.2× 21 484
Elisabeth Alonso‐Blanco Spain 13 120 0.7× 167 1.1× 246 1.7× 255 1.9× 13 0.2× 26 403
Hiroshi Tago Japan 5 67 0.4× 36 0.2× 151 1.1× 264 2.0× 10 0.2× 16 398
Ivan Коvalets Ukraine 13 198 1.2× 254 1.7× 102 0.7× 73 0.6× 84 1.5× 47 444
Yu-Mei Hsu United States 11 63 0.4× 156 1.0× 160 1.1× 202 1.5× 16 0.3× 22 430
Vic Etyemezian United States 13 130 0.8× 161 1.1× 272 1.9× 248 1.9× 13 0.2× 21 557
Günter Baumbach Germany 9 90 0.5× 64 0.4× 174 1.2× 242 1.8× 8 0.1× 16 387

Countries citing papers authored by Ádám Leelőssy

Since Specialization
Citations

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

Fields of papers citing papers by Ádám Leelőssy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ádám Leelőssy

This figure shows the co-authorship network connecting the top 25 collaborators of Ádám Leelőssy. A scholar is included among the top collaborators of Ádám Leelőssy 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 Ádám Leelőssy. Ádám Leelőssy 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.
Vincze, Csilla, Ádám Leelőssy, & Róbert Mészáros. (2025). ARIMAX Modeling of Hive Weight Dynamics Using Meteorological Factors During Robinia pseudoacacia Blooming. Atmosphere. 16(8). 918–918.
2.
Leelőssy, Ádám, et al.. (2024). A review of short-term weather impacts on honey production. International Journal of Biometeorology. 69(2). 303–317. 5 indexed citations
3.
Leelőssy, Ádám, et al.. (2024). An algorithm to analyse long‐term tendencies of pressure systems over Europe. International Journal of Climatology. 44(11). 4032–4045.
4.
Magyar, Donát, Orsolya Udvardy, Anna Páldy, et al.. (2022). Unusual early peaks of airborne ragweed (Ambrosia L.) pollen in the Pannonian Biogeographical Region. International Journal of Biometeorology. 66(11). 2195–2203. 1 indexed citations
5.
Leelőssy, Ádám, et al.. (2021). Effects of COVID-Induced Mobility Restrictions and Weather Conditions on Air Quality in Hungary. Atmosphere. 12(5). 561–561. 4 indexed citations
6.
Leelőssy, Ádám, et al.. (2021). Coupling traffic originated urban air pollution estimation with an atmospheric chemistry model. Urban Climate. 37. 100868–100868. 10 indexed citations
7.
8.
Leelőssy, Ádám, et al.. (2020). Time-Dependent Downscaling of PM2.5 Predictions from CAMS Air Quality Models to Urban Monitoring Sites in Budapest. Atmosphere. 11(6). 669–669. 12 indexed citations
9.
László, E., László Palcsu, & Ádám Leelőssy. (2020). Estimation of the solar-induced natural variability of the tritium concentration of precipitation in the Northern and Southern Hemisphere. Atmospheric Environment. 233. 117605–117605. 12 indexed citations
10.
Leelőssy, Ádám, et al.. (2019). Online coupled modeling of weather and air quality of Budapest using the WRF-Chem model. ELTE Digital Institutional Repository (EDIT) (Eötvös Loránd University). 123(2). 203–215. 3 indexed citations
11.
Šikoparija, Branko, M. Thibaudon, G. Oliver, et al.. (2019). Artificial neural networks can be used for Ambrosia pollen emission parameterization in COSMO-ART. Atmospheric Environment. 218. 116969–116969. 3 indexed citations
12.
Leelőssy, Ádám, et al.. (2017). A review of numerical models to predict the atmospheric dispersion of radionuclides. Journal of Environmental Radioactivity. 182. 20–33. 73 indexed citations
13.
Leelőssy, Ádám, et al.. (2017). Numerical simulations of atmospheric dispersion of iodine-131 by different models. PLoS ONE. 12(2). e0172312–e0172312. 13 indexed citations
14.
Mészáros, Róbert, Ádám Leelőssy, Tibor Kovács, & István Lagzi. (2016). Predictability of the dispersion of Fukushima-derived radionuclides and their homogenization in the atmosphere. Scientific Reports. 6(1). 19915–19915. 24 indexed citations
15.
Leelőssy, Ádám, Ferenc Molnár, Ferenc Izsák, et al.. (2014). Dispersion modeling of air pollutants in the atmosphere: a review. Open Geosciences. 6(3). 169 indexed citations
16.
Leelőssy, Ádám, et al.. (2013). Comparison of two Lagrangian dispersion models: A case study for the chemical accident in Rouen, January 21-22, 2013. 117(4). 435–450. 5 indexed citations
17.
Leelőssy, Ádám, István Lagzi, & Róbert Mészáros. (2012). Sensitivity study of OpenFOAM model for local scale atmospheric dispersion simulations. EGUGA. 11925. 1 indexed citations
18.
Leelőssy, Ádám, Róbert Mészáros, & István Lagzi. (2011). Short and long term dispersion patterns of radionuclides in the atmosphere around the Fukushima Nuclear Power Plant. Journal of Environmental Radioactivity. 102(12). 1117–1121. 35 indexed citations
19.
Mészáros, Róbert, et al.. (2011). Estimation of the dispersion of an accidental release of radionuclides and toxic materials based on weather type classification. Theoretical and Applied Climatology. 107(3-4). 375–387. 5 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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