Frank Selten

5.6k total citations · 1 hit paper
84 papers, 3.3k citations indexed

About

Frank Selten is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Frank Selten has authored 84 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Global and Planetary Change, 63 papers in Atmospheric Science and 17 papers in Oceanography. Recurrent topics in Frank Selten's work include Climate variability and models (65 papers), Meteorological Phenomena and Simulations (40 papers) and Atmospheric and Environmental Gas Dynamics (17 papers). Frank Selten is often cited by papers focused on Climate variability and models (65 papers), Meteorological Phenomena and Simulations (40 papers) and Atmospheric and Environmental Gas Dynamics (17 papers). Frank Selten collaborates with scholars based in Netherlands, United States and Norway. Frank Selten's co-authors include Richard Bintanja, Rein Haarsma, J. D. Opsteegh, Karin van der Wiel, Grant Branstator, A. Kattenberg, Wilco Hazeleger, Michael Kliphuis, Russell Blackport and Geert Lenderink and has published in prestigious journals such as Nature, Renewable and Sustainable Energy Reviews and Scientific Reports.

In The Last Decade

Frank Selten

82 papers receiving 3.2k citations

Hit Papers

Future increases in Arctic precipitation linked to local ... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frank Selten Netherlands 32 2.4k 2.1k 488 233 215 84 3.3k
William J. Merryfield Canada 30 2.3k 1.0× 2.5k 1.2× 1.1k 2.3× 103 0.4× 138 0.6× 95 3.5k
V. Balaji United States 24 1.9k 0.8× 2.1k 1.0× 1.0k 2.1× 429 1.8× 250 1.2× 57 3.3k
Rein Haarsma Netherlands 41 3.4k 1.4× 3.5k 1.7× 1.5k 3.0× 217 0.9× 305 1.4× 107 4.5k
Atsumu Ohmura Switzerland 37 5.0k 2.1× 4.4k 2.1× 278 0.6× 112 0.5× 291 1.4× 77 6.7k
Akira Noda Japan 37 4.4k 1.9× 4.6k 2.2× 1.2k 2.5× 62 0.3× 151 0.7× 152 5.5k
Gabriele Messori Sweden 30 1.9k 0.8× 2.0k 1.0× 318 0.7× 38 0.2× 90 0.4× 133 2.8k
Hervé Le Treut France 36 3.2k 1.4× 3.5k 1.7× 1.2k 2.4× 195 0.8× 335 1.6× 106 4.7k
И. И. Мохов Russia 35 4.0k 1.7× 4.0k 1.9× 561 1.1× 465 2.0× 275 1.3× 330 5.3k
João Corte‐Real Portugal 27 1.6k 0.7× 2.4k 1.2× 283 0.6× 42 0.2× 257 1.2× 72 3.1k
J. D. Annan Japan 31 2.3k 1.0× 2.0k 1.0× 532 1.1× 203 0.9× 265 1.2× 87 3.3k

Countries citing papers authored by Frank Selten

Since Specialization
Citations

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

Fields of papers citing papers by Frank Selten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Selten

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Selten. A scholar is included among the top collaborators of Frank Selten 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 Frank Selten. Frank Selten 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.
Baatsen, Michiel, et al.. (2024). Similar North Pacific variability despite suppressed El Niño variability in the warm mid-Pliocene climate. Earth System Dynamics. 15(4). 1037–1054. 2 indexed citations
2.
Wiel, Karin van der, Henk van den Brink, Folmer Krikken, et al.. (2024). KNMI'23 Climate Scenarios for the Netherlands: Storyline Scenarios of Regional Climate Change. Earth s Future. 12(2). 13 indexed citations
3.
Keenlyside, Noel, François Counillon, Alberto Carrassi, et al.. (2023). Supermodeling: Improving Predictions with an Ensemble of Interacting Models. Bulletin of the American Meteorological Society. 104(9). E1670–E1686. 3 indexed citations
4.
Luo, Fei, Frank Selten, Kathrin Wehrli, et al.. (2022). Summertime Rossby waves in climate models: substantial biases in surface imprint associated with small biases in upper-level circulation. Weather and Climate Dynamics. 3(3). 905–935. 15 indexed citations
5.
Wiel, Karin van der, et al.. (2021). Intransitive Atmosphere Dynamics Leading to Persistent Hot–Dry or Cold–Wet European Summers. Journal of Climate. 34(15). 6303–6317. 7 indexed citations
6.
Wehrli, Kathrin, Fei Luo, Mathias Hauser, et al.. (2021). The ExtremeX global climate model experiment: Investigating thermodynamic and dynamic processes contributing to weather and climate extremes. Repository for Publications and Research Data (ETH Zurich). 2 indexed citations
7.
Wiel, Karin van der, Frank Selten, Richard Bintanja, Russell Blackport, & James A. Screen. (2020). Ensemble climate-impact modelling: extreme impacts from moderate meteorological conditions. Environmental Research Letters. 15(3). 34050–34050. 59 indexed citations
8.
Wiel, Karin van der, Hannah Bloomfield, Robert W. Lee, et al.. (2019). The influence of weather regimes on European renewable energy production and demand. Environmental Research Letters. 14(9). 94010–94010. 124 indexed citations
9.
Wiegerinck, Wim, et al.. (2019). Deep learning for weather forecasting? A proof of principle.. EGU General Assembly Conference Abstracts. 11443. 1 indexed citations
10.
Selten, Frank, et al.. (2019). Improving weather and climate predictions by training of supermodels. Earth System Dynamics. 10(4). 789–807. 7 indexed citations
11.
Selten, Frank, et al.. (2019). Improving weather and climate predictions by training of supermodels. 1 indexed citations
12.
Wiegerinck, Wim & Frank Selten. (2018). The impact of learning strategies for interactive ensembles in the presence of unresolved scales. EGU General Assembly Conference Abstracts. 5157. 1 indexed citations
13.
Haarsma, Rein, Eveline C. van der Linden, Frank Selten, & Gerard van der Schrier. (2017). Extreme future central European droughts in a high-resolution global climate model. EGU General Assembly Conference Abstracts. 14128.
14.
Selten, Frank, et al.. (2017). An efficient training scheme for supermodels. Earth System Dynamics. 8(2). 429–438. 11 indexed citations
15.
Kew, Sarah, Frank Selten, Geert Lenderink, & Wilco Hazeleger. (2013). The simultaneous occurrence of surge and discharge extremes for the Rhine delta. 1 indexed citations
16.
Kew, Sarah, Frank Selten, Geert Lenderink, & Wilco Hazeleger. (2013). The simultaneous occurrence of surge and discharge extremes for the Rhine delta. Natural hazards and earth system sciences. 13(8). 2017–2029. 86 indexed citations
17.
Kew, Sarah, Frank Selten, Geert Lenderink, & Wilco Hazeleger. (2011). Robust assessment of future changes in extreme precipitation over the Rhine basin using a GCM. Hydrology and earth system sciences. 15(4). 1157–1166. 17 indexed citations
18.
Selten, Frank, et al.. (2011). A multi-model ensemble method that combines imperfect models through learning. Earth System Dynamics. 2(1). 161–177. 33 indexed citations
19.
Selten, Frank, et al.. (2010). A multi-model ensemble method that combines imperfect models through learning. 2 indexed citations
20.
Goosse, H., Frank Selten, Rein Haarsma, & J. D. Opsteegh. (2002). A mechanism of decadal variability of the sea-ice volume in the Northern Hemisphere. Climate Dynamics. 19(1). 61–83. 50 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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