Jan Kyselý

14.0k total citations · 2 hit papers
122 papers, 5.1k citations indexed

About

Jan Kyselý is a scholar working on Global and Planetary Change, Atmospheric Science and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Jan Kyselý has authored 122 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Global and Planetary Change, 71 papers in Atmospheric Science and 36 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Jan Kyselý's work include Climate variability and models (80 papers), Meteorological Phenomena and Simulations (66 papers) and Climate Change and Health Impacts (36 papers). Jan Kyselý is often cited by papers focused on Climate variability and models (80 papers), Meteorological Phenomena and Simulations (66 papers) and Climate Change and Health Impacts (36 papers). Jan Kyselý collaborates with scholars based in Czechia, Slovakia and Germany. Jan Kyselý's co-authors include Radan Huth, Eva Plavcová, Ondřej Lhotka, Romana Beranová, Aleš Urban, Jan Picek, Martin Hanel, Ladislav Gaál, B Kříž and Lucie Pokorná and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and The Science of The Total Environment.

In The Last Decade

Jan Kyselý

121 papers receiving 5.0k citations

Hit Papers

Classifications of Atmospheric Circulation Patterns 2008 2026 2014 2020 2008 2023 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Kyselý Czechia 43 3.3k 2.4k 1.5k 695 504 122 5.1k
Scott C. Sheridan United States 37 1.9k 0.6× 1.3k 0.6× 2.6k 1.7× 851 1.2× 268 0.5× 154 5.1k
P. T. Nastos Greece 40 2.6k 0.8× 2.0k 0.9× 1.4k 0.9× 1.3k 1.9× 248 0.5× 176 4.7k
Glenn R. McGregor United Kingdom 37 1.6k 0.5× 1.2k 0.5× 2.5k 1.7× 1.1k 1.5× 815 1.6× 117 4.9k
Dann Mitchell United Kingdom 37 3.6k 1.1× 2.9k 1.3× 735 0.5× 354 0.5× 229 0.5× 143 5.3k
Ricardo García‐Herrera Spain 46 6.3k 1.9× 5.3k 2.2× 1.3k 0.9× 758 1.1× 324 0.6× 198 8.6k
Chunxiang Shi China 34 1.9k 0.6× 2.0k 0.8× 835 0.6× 1.2k 1.7× 512 1.0× 149 3.9k
Alexander Gershunov United States 44 6.2k 1.9× 4.2k 1.8× 1.3k 0.9× 528 0.8× 804 1.6× 120 8.3k
Laurence S. Kalkstein United States 37 2.0k 0.6× 1.4k 0.6× 3.4k 2.3× 1.4k 2.0× 258 0.5× 83 5.8k
Shigong Wang China 41 2.5k 0.7× 2.9k 1.3× 2.7k 1.8× 981 1.4× 116 0.2× 186 5.5k
Simone Russo Italy 22 2.0k 0.6× 1.2k 0.5× 950 0.6× 550 0.8× 167 0.3× 60 3.1k

Countries citing papers authored by Jan Kyselý

Since Specialization
Citations

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

Fields of papers citing papers by Jan Kyselý

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Kyselý

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Kyselý. A scholar is included among the top collaborators of Jan Kyselý 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 Jan Kyselý. Jan Kyselý 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.
Godoy, Mijael Rodrigo Vargas, Yannis Markonis, Oldřich Rakovec, et al.. (2024). Water cycle changes in Czechia: a multi-source water budget perspective. Hydrology and earth system sciences. 28(1). 1–19. 3 indexed citations
2.
Lhotka, Ondřej, et al.. (2023). Prolongation of Compound Dry–Hot Seasons Over Europe Under Climate Change Scenarios. Earth s Future. 11(9). 7 indexed citations
3.
Urban, Aleš, et al.. (2019). The predictability of heat-related mortality in Prague, Czech Republic, during summer 2015—a comparison of selected thermal indices. International Journal of Biometeorology. 63(4). 535–548. 22 indexed citations
4.
Hanel, Martin, Oldřich Rakovec, Yannis Markonis, et al.. (2018). Revisiting the recent European droughts from a long-term perspective. Scientific Reports. 8(1). 9499–9499. 258 indexed citations
5.
Hanel, Martin, et al.. (2017). Characteristics of rainfall events in regional climate model simulations for the Czech Republic. Hydrology and earth system sciences. 21(2). 963–980. 12 indexed citations
6.
Lhotka, Ondřej, Eva Plavcová, & Jan Kyselý. (2016). Record-breaking 2015 heat waves in Central Europe: how to view them in the climate change context?. EGU General Assembly Conference Abstracts. 2 indexed citations
7.
Hanel, Martin, et al.. (2016). Characteristics of rainfall events in RCM simulations for the Czech Republic. 3 indexed citations
8.
Angulo‐Martínez, M., Santiago Beguerı́a, & Jan Kyselý. (2016). Use of disdrometer data to evaluate the relationship of rainfall kinetic energy and intensity (KE-I). The Science of The Total Environment. 568. 83–94. 61 indexed citations
9.
Hanel, Martin, et al.. (2016). Projected changes of rainfall event characteristics for the Czech Republic. Journal of Hydrology and Hydromechanics. 64(4). 415–425. 22 indexed citations
10.
Plavcová, Eva, et al.. (2014). Impacts of hot and cold spells differ for acute and chronic ischaemic heart diseases. BMC Public Health. 14(1). 480–480. 62 indexed citations
11.
Kyselý, Jan & Eva Plavcová. (2013). Effects of sudden air pressure changes on hospital admissions for cardiovascular diseases in Prague. ASEP. 5 indexed citations
12.
Urban, Aleš, et al.. (2013). Heat- and cold-stress effects on cardiovascular mortality and morbidity among urban and rural populations in the Czech Republic. International Journal of Biometeorology. 58(6). 1057–1068. 89 indexed citations
13.
Plavcová, Eva & Jan Kyselý. (2013). Effects of sudden air pressure changes on hospital admissions for cardiovascular diseases in Prague, 1994–2009. International Journal of Biometeorology. 58(6). 1327–1337. 29 indexed citations
14.
Gaál, Ladislav & Jan Kyselý. (2009). Improved region-of-influence approach for modelling probabilities of heavy precipitation in the Czech Republic. EGUGA. 11955. 1 indexed citations
15.
Plavcová, Eva & Jan Kyselý. (2009). [Effects of sudden air temperature and pressure changes on mortality in the Czech Republic].. PubMed. 58(2). 73–83. 5 indexed citations
16.
Kyselý, Jan, Lucie Pokorná, Jan Kynčl, & B Kříž. (2009). Excess cardiovascular mortality associated with cold spells in the Czech Republic. BMC Public Health. 9(1). 19–19. 158 indexed citations
18.
Gaál, Ladislav & Jan Kyselý. (2009). Comparison of region-of-influence methods for estimating high quantiles of precipitation in a dense dataset in the Czech Republic. Hydrology and earth system sciences. 13(11). 2203–2219. 21 indexed citations
19.
Kyselý, Jan & B Kříž. (2008). Decreased impacts of the 2003 heat waves on mortality in the Czech Republic: an improved response?. International Journal of Biometeorology. 52(8). 733–745. 63 indexed citations
20.
Gaál, Ladislav, Jan Kyselý, & Ján Szolgay. (2008). Region-of-influence approach to a frequency analysis of heavy precipitation in Slovakia. Hydrology and earth system sciences. 12(3). 825–839. 68 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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