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 10%
- Climate variability and models
- Flood Risk Assessment and Management
Papers in
- Software 1
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- Topic Modeling 2
- Bayesian Modeling and Causal Inference 1
- Machine Learning and Algorithms 1
- Co-authors
- Álvaro Sánchez‐GonzálezShakir MohamedTimo EwaldsRémi LamPeter BattagliaWeihua HuSuman RavuriPeter Wirnsberger
- Journals
- Nature (1 paper)Science (1 paper)arXiv (Cornell University) (3 papers)DSpace@MIT (Massachusetts Institute of Technology) (2 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Ferran Alet
7 papers receiving 622 citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Atmospheric Science 312
- Global and Planetary Change 251
- Environmental Engineering 143
- Oceanography 51
- Statistical and Nonlinear Physics 47
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-authorship network
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 | Probabilistic weather forecasting with machine learning Hit paper breakdown → | 2024 | 96 |
| 2 | Learning skillful medium-range global weather forecasting Hit paper breakdown → | 2023 | 535 |
| 3 | 2023 | 5 | |
| 4 | A large-scale benchmark for few-shot program induction and synthesis | 2021 | 1 |
| 5 | 2021 | 4 | |
| 6 | 2021 | 1 | |
| 7 | 2020 | 4 | |
| 8 | Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video | 2019 | 10 |
About Ferran Alet
Ferran Alet is a scholar working on Software, Artificial Intelligence, Hardware and Architecture, Atmospheric Science and Global and Planetary Change, having authored 8 papers that have together received 656 indexed citations. Recurring topics across this work include Climate variability and models (2 papers), Topic Modeling (2 papers), Meteorological Phenomena and Simulations (2 papers), Tropical and Extratropical Cyclones Research (2 papers), Bayesian Modeling and Causal Inference (1 paper), Machine Learning and Algorithms (1 paper), Parallel Computing and Optimization Techniques (1 paper) and Software Engineering Research (1 paper). The work is most often cited by research in Atmospheric Science (312 citations), Global and Planetary Change (251 citations), Environmental Engineering (143 citations), Oceanography (51 citations) and Statistical and Nonlinear Physics (47 citations). Ferran Alet has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Álvaro Sánchez‐González, Shakir Mohamed, Timo Ewalds, Rémi Lam, Peter Battaglia, Weihua Hu, Suman Ravuri, Peter Wirnsberger, Stephan Hoyer and Zach Eaton-Rosen. Their work appears in journals such as Nature, Science, arXiv (Cornell University) and DSpace@MIT (Massachusetts Institute of Technology).
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.