Timo Ewalds

6.6k citations
6 papers · 672 indexed · 2 hit papers · h-index 5

Impact in

    • Meteorological Phenomena and Simulations
    • Tropical and Extratropical Cyclones Research
    • Precipitation Measurement and Analysis
    • Climate variability and models
    • Flood Risk Assessment and Management

Papers in

Timo Ewalds

6 papers receiving 641 citations

Hit Papers

Probabilistic weather forecasting with machine learning 2024 · 96 citations
962023202620242025100200300400500

Peers

Timo Ewalds
Comparison fields: 5 of 95
  • Atmospheric Science 313
  • Global and Planetary Change 249
  • Environmental Engineering 142
  • Structural Biology 11
  • Oceanography 51
Replace Yiyi Huang with:
Yiyi Huang China
Ferran Alet United States
Xiaoming Gao China
Emma Woolliams United Kingdom
Xiaotao Gu China
Ashesh Chattopadhyay United States
Peter Wirnsberger United Kingdom
Jochen Bröcker United Kingdom
Matthew Chantry United Kingdom
Timo Ewalds relative to Yiyi Huang China Yiyi Huang's profile →
Citations per field
00.5×
Yiyi Huang · 1×
Citations per year

Countries citing papers authored by Timo Ewalds

Since Specialization
Citations

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

Fields of papers citing papers by Timo Ewalds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Timo Ewalds, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Timo Ewalds Line = papers co-authored together Timo Ewalds links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 20245
2
Probabilistic weather forecasting with machine learning
Hit paper breakdown →
202496
3
Learning skillful medium-range global weather forecasting
Hit paper breakdown →
2023535
4 20123
5 201122
6 201011

About Timo Ewalds

Timo Ewalds is a scholar working on Atmospheric Science, Radiation, Global and Planetary Change, Condensed Matter Physics and Nuclear and High Energy Physics, having authored 6 papers that have together received 672 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (2 papers), Climate variability and models (2 papers), Tropical and Extratropical Cyclones Research (2 papers), Artificial Intelligence in Games (1 paper), Atomic and Subatomic Physics Research (1 paper), Digital Games and Media (1 paper), Smart Grid Security and Resilience (1 paper) and Cinema and Media Studies (1 paper). The work is most often cited by research in Atmospheric Science (313 citations), Global and Planetary Change (249 citations), Environmental Engineering (142 citations), Structural Biology (11 citations) and Oceanography (51 citations). Timo Ewalds has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Álvaro Sánchez‐González, Shakir Mohamed, Ferran Alet, Rémi Lam, Peter Battaglia, Weihua Hu, Suman Ravuri, Peter Wirnsberger, Stephan Hoyer and Zach Eaton-Rosen. Their work appears in journals such as Nature, Fusion Engineering and Design, Acta Materialia, Science and Ultramicroscopy.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026