Radan Huth

5.6k total citations · 1 hit paper
103 papers, 4.1k citations indexed

About

Radan Huth is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Radan Huth has authored 103 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Global and Planetary Change, 77 papers in Atmospheric Science and 13 papers in Oceanography. Recurrent topics in Radan Huth's work include Climate variability and models (82 papers), Meteorological Phenomena and Simulations (53 papers) and Atmospheric and Environmental Gas Dynamics (20 papers). Radan Huth is often cited by papers focused on Climate variability and models (82 papers), Meteorological Phenomena and Simulations (53 papers) and Atmospheric and Environmental Gas Dynamics (20 papers). Radan Huth collaborates with scholars based in Czechia, Germany and Spain. Radan Huth's co-authors include Jan Kyselý, Christoph Beck, Monika Cahynová, Andreas Philipp, Lucie Pokorná, Ole Einar Tveito, Romana Beranová, Zbigniew Ustrnul, Matthias Demuzere and Jucundus Jacobeit and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Annals of the New York Academy of Sciences.

In The Last Decade

Radan Huth

98 papers receiving 3.9k citations

Hit Papers

Classifications of Atmospheric Circulation Patterns 2008 2026 2014 2020 2008 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
Radan Huth Czechia 34 3.4k 3.0k 480 382 342 103 4.1k
John W. Nielsen‐Gammon United States 31 3.1k 0.9× 3.0k 1.0× 732 1.5× 433 1.1× 304 0.9× 89 4.1k
Philippe Drobinski France 39 3.4k 1.0× 3.1k 1.0× 883 1.8× 224 0.6× 578 1.7× 175 4.5k
John H. Marsham United Kingdom 40 4.1k 1.2× 3.6k 1.2× 237 0.5× 234 0.6× 204 0.6× 150 4.7k
Blair Trewin Australia 23 2.9k 0.9× 2.3k 0.7× 266 0.6× 194 0.5× 299 0.9× 57 3.4k
Xin‐Zhong Liang United States 33 2.7k 0.8× 2.3k 0.8× 655 1.4× 524 1.4× 171 0.5× 108 3.9k
Fredolin Tangang Malaysia 37 2.9k 0.9× 2.3k 0.8× 627 1.3× 462 1.2× 1.1k 3.2× 134 4.3k
Claude N. Williams United States 26 2.6k 0.8× 2.1k 0.7× 643 1.3× 156 0.4× 229 0.7× 40 3.5k
R. Romero Spain 36 3.2k 0.9× 2.8k 0.9× 336 0.7× 128 0.3× 377 1.1× 99 3.9k
Arona Diédhiou France 30 2.9k 0.9× 2.1k 0.7× 331 0.7× 156 0.4× 385 1.1× 145 3.7k
Antje Weisheimer United Kingdom 36 3.6k 1.1× 3.3k 1.1× 314 0.7× 116 0.3× 878 2.6× 118 4.1k

Countries citing papers authored by Radan Huth

Since Specialization
Citations

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

Fields of papers citing papers by Radan Huth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Radan Huth

This figure shows the co-authorship network connecting the top 25 collaborators of Radan Huth. A scholar is included among the top collaborators of Radan Huth 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 Radan Huth. Radan Huth 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
2.
Huth, Radan, et al.. (2025). European Climatology of Day‐to‐Day Surface Air Temperature Difference in Multiple Data Sets. International Journal of Climatology. 45(8).
3.
Huth, Radan, et al.. (2024). Association of the 11-year solar cycle with correlation and teleconnection structures in tropospheric circulation. Journal of Space Weather and Space Climate. 14. 31–31.
4.
Beranová, Romana, et al.. (2023). Representation of Modes of Atmospheric Circulation Variability by Self‐Organizing Maps: A Study Using Synthetic Data. Journal of Geophysical Research Atmospheres. 128(20). 4 indexed citations
5.
Huth, Radan, et al.. (2022). Trends in intraseasonal temperature variability in Europe, 1961–2018. International Journal of Climatology. 42(14). 7298–7320. 5 indexed citations
6.
Bettolli, María Laura, Silvina A. Solman, Rosmeri Porfírio da Rocha, et al.. (2021). The CORDEX Flagship Pilot Study in southeastern South America: a comparative study of statistical and dynamical downscaling models in simulating daily extreme precipitation events. Climate Dynamics. 56(5-6). 1589–1608. 42 indexed citations
7.
Huth, Radan, et al.. (2020). The applicability of the Hess–Brezowsky synoptic classification to the description of climate elements in Europe. Theoretical and Applied Climatology. 142(3-4). 1295–1309. 3 indexed citations
8.
Huth, Radan, et al.. (2020). Modes of Atmospheric Circulation Variability in the Northern Extratropics: A Comparison of Five Reanalyses. Journal of Climate. 33(24). 10707–10726. 8 indexed citations
9.
Huth, Radan, et al.. (2019). Long-term changes in precipitation phase in Czechia. Geografie. 124(1). 41–55. 8 indexed citations
10.
Philipp, Andreas, Christoph Beck, Radan Huth, & Jucundus Jacobeit. (2014). Development and comparison of circulation type classifications using the COST 733 dataset and software. International Journal of Climatology. 36(7). 2673–2691. 165 indexed citations
11.
Maraun, Douglas, Martin Widmann, Rasmus Benestad, et al.. (2013). VALUE - Validating and Integrating Downscaling Methods for Climate Change Research. EGU General Assembly Conference Abstracts. 4 indexed citations
12.
Huth, Radan. (2010). Effects of the 11-year solar cycle on tropospheric circulation. 38. 2. 1 indexed citations
13.
Cahynová, Monika & Radan Huth. (2009). Long-term trends in the frequency of atmospheric circulation types in European regions. EGU General Assembly Conference Abstracts. 7543.
14.
Kyselý, Jan & Radan Huth. (2009). Relationships between summer air masses and mortality in Seoul: Comparison of weather-type classifications. Physics and Chemistry of the Earth Parts A/B/C. 35(9-12). 536–543. 10 indexed citations
15.
Cahynová, Monika & Radan Huth. (2009). Enhanced lifetime of atmospheric circulation types over Europe: fact or fiction?. Tellus A Dynamic Meteorology and Oceanography. 61(3). 407–416. 22 indexed citations
16.
Kyselý, Jan & Radan Huth. (2008). Relationships of surface air temperature anomalies over Europe to persistence of atmospheric circulation patterns conducive to heat waves. Advances in geosciences. 14. 243–249. 20 indexed citations
17.
Beranová, Romana & Radan Huth. (2005). Long-term changes in the heat island of Prague under different synoptic conditions. Theoretical and Applied Climatology. 82(1-2). 113–118. 29 indexed citations
18.
Huth, Radan. (2001). Disaggregating climatic trends by classification of circulation patterns. International Journal of Climatology. 21(2). 135–153. 63 indexed citations
19.
Huth, Radan. (1995). The behaviour of the mean energetic level in time and space: Persistence, autocorrelations, links to standard levels. Studia Geophysica et Geodaetica. 39(4). 449–465. 1 indexed citations
20.
Huth, Radan, et al.. (1992). Weather categorization in climate change research: Preliminary results. Studia Geophysica et Geodaetica. 36(4). 370–375. 1 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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