Ferran Alet
Impact in
- Atmospheric Science top 5%
- Meteorological Phenomena and Simulations
- Tropical and Extratropical Cyclones Research
- Precipitation Measurement and Analysis
- Global and Planetary Change top 5%
- Climate variability and models
- Flood Risk Assessment and Management
Papers in
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- Topic Modeling 2
- Domain Adaptation and Few-Shot Learning 1
- Adversarial Robustness in Machine Learning 1
- Bayesian Modeling and Causal Inference 1
-
- Tropical and Extratropical Cyclones Research 2
- Meteorological Phenomena and Simulations 2
- Co-authors
- Shakir Mohamed (2 shared papers)Timo Ewalds (2 shared papers)Peter Battaglia (2 shared papers)Álvaro Sánchez‐González (2 shared papers)Rémi Lam (2 shared papers)Meire Fortunato (1 shared paper)Peter Wirnsberger (1 shared paper)George Holland (1 shared paper)
- Journals
- Science (1 paper)Nature (1 paper)DSpace@MIT (Massachusetts Institute of Technology) (2 papers)arXiv (Cornell University) (3 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Ferran Alet
7 papers receiving 741 citations
Ferran Alet's Hit Papers
Peers
Comparison fields: 5 of 94
- Atmospheric Science 338
- Global and Planetary Change 273
- Environmental Engineering 161
- Oceanography 53
- Statistical and Nonlinear Physics 50
Countries citing papers authored by Ferran Alet
This map shows the geographic impact of Ferran Alet'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 Ferran Alet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ferran Alet more than expected).
Fields of papers citing papers by Ferran Alet
This network shows the impact of papers produced by Ferran Alet. 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 Ferran Alet. The network helps show where Ferran Alet may publish in the future.
Co-authors
The 25 scholars most cited alongside Ferran Alet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Learning skillful medium-range global weather forecasting Hit paper breakdown → | 2023 | 613 |
| 2 | Probabilistic weather forecasting with machine learning Hit paper breakdown → | 2024 | 124 |
| 3 | Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video | 2019 | 10 |
| 4 | 2023 | 5 | |
| 5 | 2020 | 4 | |
| 6 | 2021 | 4 | |
| 7 | 2021 | 1 | |
| 8 | A large-scale benchmark for few-shot program induction and synthesis | 2021 | 1 |
About Ferran Alet
Ferran Alet is a scholar working on Artificial Intelligence, Atmospheric Science, Global and Planetary Change, Control and Systems Engineering and Information Systems, having authored 8 papers that have together received 762 indexed citations. Recurring topics across this work include Tropical and Extratropical Cyclones Research (2 papers), Topic Modeling (2 papers), Climate variability and models (2 papers), Meteorological Phenomena and Simulations (2 papers), Domain Adaptation and Few-Shot Learning (1 paper), Soft Robotics and Applications (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Bayesian Modeling and Causal Inference (1 paper). The work is most often cited by research in Atmospheric Science (338 citations), Global and Planetary Change (273 citations), Environmental Engineering (161 citations), Oceanography (53 citations) and Statistical and Nonlinear Physics (50 citations). Ferran Alet has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Shakir Mohamed, Timo Ewalds, Peter Battaglia, Álvaro Sánchez‐González, Rémi Lam, Meire Fortunato, Peter Wirnsberger, George Holland, Zach Eaton-Rosen and Suman Ravuri. Their work appears in journals such as Science, Nature, DSpace@MIT (Massachusetts Institute of Technology) and arXiv (Cornell University).
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.