Jonathan A. Weyn

882 total citations · 1 hit paper
10 papers, 429 citations indexed

About

Jonathan A. Weyn is a scholar working on Atmospheric Science, Global and Planetary Change and Artificial Intelligence. According to data from OpenAlex, Jonathan A. Weyn has authored 10 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Atmospheric Science, 7 papers in Global and Planetary Change and 2 papers in Artificial Intelligence. Recurrent topics in Jonathan A. Weyn's work include Meteorological Phenomena and Simulations (8 papers), Climate variability and models (7 papers) and Tropical and Extratropical Cyclones Research (2 papers). Jonathan A. Weyn is often cited by papers focused on Meteorological Phenomena and Simulations (8 papers), Climate variability and models (7 papers) and Tropical and Extratropical Cyclones Research (2 papers). Jonathan A. Weyn collaborates with scholars based in United States, United Kingdom and Netherlands. Jonathan A. Weyn's co-authors include Dale R. Durran, Rich Caruana, Mariana Clare, Peter Dueben, Zied Ben Bouallègue, Jesper Dramsch, Matthew Chantry, Richard E. Turner, Paris Perdikaris and Alexander T. Archibald and has published in prestigious journals such as Nature, Journal of the Atmospheric Sciences and Monthly Weather Review.

In The Last Decade

Jonathan A. Weyn

9 papers receiving 419 citations

Hit Papers

A foundation model for the Earth system 2025 2026 2025 5 10 15 20

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan A. Weyn United States 8 331 280 99 41 37 10 429
Janni Yuval United States 12 431 1.3× 417 1.5× 83 0.8× 60 1.5× 101 2.7× 20 623
Sam Hatfield United Kingdom 9 267 0.8× 224 0.8× 49 0.5× 44 1.1× 51 1.4× 14 389
Javier Amezcua United Kingdom 11 199 0.6× 159 0.6× 86 0.9× 38 0.9× 24 0.6× 25 299
Tom Beucler United States 11 263 0.8× 237 0.8× 70 0.7× 81 2.0× 27 0.7× 30 453
Steven J. Fletcher United States 10 236 0.7× 194 0.7× 80 0.8× 45 1.1× 39 1.1× 22 335
Robert W. Carver United States 9 264 0.8× 211 0.8× 76 0.8× 36 0.9× 26 0.7× 11 409
Jeremy McGibbon United States 11 257 0.8× 214 0.8× 51 0.5× 40 1.0× 24 0.6× 25 306
Alexei Belochitski United States 8 255 0.8× 218 0.8× 52 0.5× 43 1.0× 24 0.6× 15 305
Simon Lang United Kingdom 17 577 1.7× 521 1.9× 58 0.6× 18 0.4× 127 3.4× 27 692
Lukas Hubert Leufen Germany 5 199 0.6× 132 0.5× 161 1.6× 53 1.3× 18 0.5× 9 342

Countries citing papers authored by Jonathan A. Weyn

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan A. Weyn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan A. Weyn. 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 Jonathan A. Weyn. The network helps show where Jonathan A. Weyn may publish in the future.

Co-authorship network of co-authors of Jonathan A. Weyn

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan A. Weyn. A scholar is included among the top collaborators of Jonathan A. Weyn 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 Jonathan A. Weyn. Jonathan A. Weyn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Lučić, Ana, J. Brandstetter, Jonathan A. Weyn, et al.. (2025). A foundation model for the Earth system. Nature. 641(8065). 1180–1187. 24 indexed citations breakdown →
2.
Weyn, Jonathan A., et al.. (2025). ADAF: An Artificial Intelligence Data Assimilation Framework for Weather Forecasting. Journal of Advances in Modeling Earth Systems. 17(9).
3.
Weyn, Jonathan A., et al.. (2023). Evaluation of Dependency Structure for Multivariate Weather Predictors Using Copulas. 1(2). 1–23. 2 indexed citations
4.
Bouallègue, Zied Ben, Jonathan A. Weyn, Mariana Clare, et al.. (2023). Improving Medium-Range Ensemble Weather Forecasts with Hierarchical Ensemble Transformers. 3(1). 15 indexed citations
5.
Weyn, Jonathan A., Dale R. Durran, & Rich Caruana. (2019). Can Machines Learn to Predict Weather? Using Deep Learning to Predict Gridded 500‐hPa Geopotential Height From Historical Weather Data. Journal of Advances in Modeling Earth Systems. 11(8). 2680–2693. 202 indexed citations
6.
Weyn, Jonathan A. & Dale R. Durran. (2018). The scale dependence of initial‐condition sensitivities in simulations of convective systems over the southeastern United States. Quarterly Journal of the Royal Meteorological Society. 145(S1). 57–74. 27 indexed citations
7.
Weyn, Jonathan A. & Dale R. Durran. (2018). Ensemble Spread Grows More Rapidly in Higher-Resolution Simulations of Deep Convection. Journal of the Atmospheric Sciences. 75(10). 3331–3345. 12 indexed citations
8.
Weyn, Jonathan A. & Dale R. Durran. (2017). The Dependence of the Predictability of Mesoscale Convective Systems on the Horizontal Scale and Amplitude of Initial Errors in Idealized Simulations. Journal of the Atmospheric Sciences. 74(7). 2191–2210. 49 indexed citations
9.
Durran, Dale R., et al.. (2017). Practical Considerations for Computing Dimensional Spectra from Gridded Data. Monthly Weather Review. 145(9). 3901–3910. 29 indexed citations
10.
Durran, Dale R. & Jonathan A. Weyn. (2015). Thunderstorms Do Not Get Butterflies. Bulletin of the American Meteorological Society. 97(2). 237–243. 69 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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