Mateusz Taszarek

2.5k total citations
52 papers, 1.6k citations indexed

About

Mateusz Taszarek is a scholar working on Global and Planetary Change, Atmospheric Science and Astronomy and Astrophysics. According to data from OpenAlex, Mateusz Taszarek has authored 52 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Global and Planetary Change, 47 papers in Atmospheric Science and 8 papers in Astronomy and Astrophysics. Recurrent topics in Mateusz Taszarek's work include Meteorological Phenomena and Simulations (47 papers), Climate variability and models (36 papers) and Fire effects on ecosystems (10 papers). Mateusz Taszarek is often cited by papers focused on Meteorological Phenomena and Simulations (47 papers), Climate variability and models (36 papers) and Fire effects on ecosystems (10 papers). Mateusz Taszarek collaborates with scholars based in Poland, United States and Austria. Mateusz Taszarek's co-authors include Harold E. Brooks, Bartosz Czernecki, John T. Allen, Natalia Pilguj, Leszek Kolendowicz, Tomáš Púčik, Kimberly A. Hoogewind, Pieter Groenemeijer, Vittorio A. Gensini and Marek Półrolniczak and has published in prestigious journals such as Journal of Climate, Geophysical Research Letters and Monthly Weather Review.

In The Last Decade

Mateusz Taszarek

48 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mateusz Taszarek Poland 23 1.4k 1.3k 205 204 61 52 1.6k
Tomeu Rigo Spain 25 1.2k 0.9× 1.1k 0.8× 326 1.6× 147 0.7× 45 0.7× 82 1.6k
Pieter Groenemeijer Germany 20 1.5k 1.1× 1.6k 1.2× 163 0.8× 246 1.2× 53 0.9× 45 1.8k
Kristen L. Rasmussen United States 20 2.0k 1.5× 2.0k 1.5× 106 0.5× 112 0.5× 26 0.4× 54 2.3k
Carlos A. Morales Brazil 20 801 0.6× 837 0.6× 206 1.0× 211 1.0× 30 0.5× 61 1.2k
Ivanka Štajner United States 19 1.3k 1.0× 1.5k 1.1× 98 0.5× 180 0.9× 38 0.6× 48 1.7k
Nikolai Dotzek Germany 20 1.1k 0.8× 1.2k 0.9× 210 1.0× 302 1.5× 39 0.6× 58 1.4k
Alan Gadian United Kingdom 18 839 0.6× 822 0.6× 257 1.3× 196 1.0× 28 0.5× 48 1.1k
Susanna Mohr Germany 19 853 0.6× 717 0.5× 46 0.2× 114 0.6× 35 0.6× 25 1.1k
Tomáš Púčik United States 11 802 0.6× 805 0.6× 89 0.4× 128 0.6× 34 0.6× 24 949
Tianle Yuan United States 22 1.9k 1.4× 1.9k 1.4× 120 0.6× 118 0.6× 19 0.3× 45 2.3k

Countries citing papers authored by Mateusz Taszarek

Since Specialization
Citations

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

Fields of papers citing papers by Mateusz Taszarek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mateusz Taszarek

This figure shows the co-authorship network connecting the top 25 collaborators of Mateusz Taszarek. A scholar is included among the top collaborators of Mateusz Taszarek 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 Mateusz Taszarek. Mateusz Taszarek 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.
Martín, María Luisa, et al.. (2024). Major Role of Marine Heatwave and Anthropogenic Climate Change on a Giant Hail Event in Spain. Geophysical Research Letters. 51(6). 14 indexed citations
2.
3.
Hanesiak, John, et al.. (2024). ERA5‐Based Significant Tornado Environments in Canada Between 1980 and 2020. Journal of Geophysical Research Atmospheres. 129(8). 2 indexed citations
4.
5.
Taszarek, Mateusz, et al.. (2023). Nocturnal thunderstorms in Poland: Environments, synoptic patterns and comparison to diurnal thunderstorms. Atmospheric Research. 291. 106816–106816. 1 indexed citations
6.
Groenemeijer, Pieter, et al.. (2023). Modeled Multidecadal Trends of Lightning and (Very) Large Hail in Europe and North America (1950–2021). Journal of Applied Meteorology and Climatology. 62(11). 1627–1653. 27 indexed citations
7.
Taszarek, Mateusz, et al.. (2023). Giant hail in Poland produced by a supercell merger in extreme instability – A sign of a warming climate?. Atmospheric Research. 292. 106843–106843. 5 indexed citations
8.
Romanić, Djordje, Mateusz Taszarek, & Harold E. Brooks. (2022). Convective environments leading to microburst, macroburst and downburst events across the United States. Weather and Climate Extremes. 37. 100474–100474. 24 indexed citations
9.
Pilguj, Natalia, Mateusz Taszarek, John T. Allen, & Kimberly A. Hoogewind. (2022). Are Trends in Convective Parameters over the United States and Europe Consistent between Reanalyses and Observations?. Journal of Climate. 35(12). 3605–3626. 33 indexed citations
10.
Taszarek, Mateusz, et al.. (2021). Global climatology and trends in convective environments from ERA5 and rawinsonde data. npj Climate and Atmospheric Science. 4(1). 100 indexed citations
11.
Taszarek, Mateusz, John T. Allen, Pieter Groenemeijer, et al.. (2020). Severe Convective Storms across Europe and the United States. Part I: Climatology of Lightning, Large Hail, Severe Wind, and Tornadoes. Journal of Climate. 33(23). 10239–10261. 84 indexed citations
12.
Taszarek, Mateusz, John T. Allen, Tomáš Púčik, Kimberly A. Hoogewind, & Harold E. Brooks. (2020). Severe Convective Storms across Europe and the United States. Part II: ERA5 Environments Associated with Lightning, Large Hail, Severe Wind, and Tornadoes. Journal of Climate. 33(23). 10263–10286. 146 indexed citations
13.
Brázdil, Rudolf, Kateřina Chromá, Tomáš Púčik, et al.. (2020). The Climatology of Significant Tornadoes in the Czech Republic. Atmosphere. 11(7). 689–689. 10 indexed citations
14.
Czernecki, Bartosz, Mateusz Taszarek, Marek Półrolniczak, et al.. (2019). Application of machine learning to large hail prediction - The importance of radar reflectivity, lightning occurrence and convective parameters derived from ERA5. Atmospheric Research. 227. 249–262. 59 indexed citations
15.
Pilguj, Natalia, et al.. (2018). High-resolution simulation of an isolated tornadic supercell in Poland on 20 June 2016. Atmospheric Research. 218. 145–159. 19 indexed citations
16.
Kolendowicz, Leszek, Bartosz Czernecki, Marek Półrolniczak, et al.. (2018). Homogenization of air temperature and its long-term trends in Poznań (Poland) for the period 1848–2016. Theoretical and Applied Climatology. 136(3-4). 1357–1370. 35 indexed citations
17.
Taszarek, Mateusz, Harold E. Brooks, & Bartosz Czernecki. (2017). Sounding-Derived Parameters Associated with Convective Hazards in Europe. Monthly Weather Review. 145(4). 1511–1528. 125 indexed citations
18.
Taszarek, Mateusz, et al.. (2016). An isolated tornadic supercell of 14 July 2012 in Poland — A prediction technique within the use of coarse-grid WRF simulation. Atmospheric Research. 178-179. 367–379. 12 indexed citations
19.
Taszarek, Mateusz, et al.. (2016). Deadly Tornadoes in Poland from 1820 to 2015. Monthly Weather Review. 145(4). 1221–1243. 17 indexed citations
20.
Taszarek, Mateusz. (2013). Forecasting the possible emergence of tornadoes in Poland. Przegląd Geograficzny. 85(3). 353–371. 3 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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