Rémi Lam
Impact in
- Atmospheric Science top 5%
- Meteorological Phenomena and Simulations
- Precipitation Measurement and Analysis
- Tropical and Extratropical Cyclones Research
- Global and Planetary Change top 5%
- Climate variability and models
- Flood Risk Assessment and Management
Papers in
-
- Advanced Multi-Objective Optimization Algorithms 7
-
- Probabilistic and Robust Engineering Design 7
- Co-authors
- Karen Willcox (10 shared papers)Shakir Mohamed (3 shared papers)Suman Ravuri (2 shared papers)Timo Ewalds (2 shared papers)Álvaro Sánchez‐González (2 shared papers)Peter Battaglia (2 shared papers)Ferran Alet (2 shared papers)Weihua Hu (1 shared paper)
- Journals
- International Journal for Numerical Methods in Fluids (2 papers)Nature (2 papers)AIAA Journal (2 papers)SIAM Journal on Scientific Computing (1 paper)Science (1 paper)
- Partner nations
- United StatesUnited KingdomPortugal
In The Last Decade
Rémi Lam
15 papers receiving 1.6k citations
Rémi Lam's Hit Papers
Peers
Comparison fields: 5 of 118
- Atmospheric Science 718
- Global and Planetary Change 572
- Environmental Engineering 303
- Statistics, Probability and Uncertainty 126
- Computational Theory and Mathematics 170
Countries citing papers authored by Rémi Lam
This map shows the geographic impact of Rémi Lam'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 Rémi Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rémi Lam more than expected).
Fields of papers citing papers by Rémi Lam
This network shows the impact of papers produced by Rémi Lam. 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 Rémi Lam. The network helps show where Rémi Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Rémi Lam, 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 | 630 |
| 2 | Skilful precipitation nowcasting using deep generative models of radar Hit paper breakdown → | 2021 | 599 |
| 3 | Probabilistic weather forecasting with machine learning Hit paper breakdown → | 2024 | 126 |
| 4 | 2015 | 59 | |
| 5 | 2018 | 43 | |
| 6 | 2017 | 42 | |
| 7 | Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach | 2016 | 32 |
| 8 | 2020 | 29 | |
| 9 | Lookahead Bayesian Optimization with Inequality Constraints | 2017 | 15 |
| 10 | 2020 | 14 | |
| 11 | 2019 | 11 | |
| 12 | 1999 | 9 | |
| 13 | 2019 | 5 | |
| 14 | 2018 | 2 | |
| 15 | 1999 | 1 | |
| 16 | 2015 | 0 |
About Rémi Lam
Rémi Lam is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty, Computational Mechanics, Artificial Intelligence and Management Science and Operations Research, having authored 16 papers that have together received 1.6k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (7 papers), Advanced Multi-Objective Optimization Algorithms (7 papers), Gaussian Processes and Bayesian Inference (3 papers), Meteorological Phenomena and Simulations (3 papers), Model Reduction and Neural Networks (3 papers), Tropical and Extratropical Cyclones Research (2 papers), Solidification and crystal growth phenomena (2 papers) and Climate variability and models (2 papers). The work is most often cited by research in Atmospheric Science (718 citations), Global and Planetary Change (572 citations), Environmental Engineering (303 citations), Statistics, Probability and Uncertainty (126 citations) and Computational Theory and Mathematics (170 citations). Rémi Lam has collaborated with scholars based in United States, United Kingdom and Portugal. Frequent co-authors include Karen Willcox, Shakir Mohamed, Suman Ravuri, Timo Ewalds, Álvaro Sánchez‐González, Peter Battaglia, Ferran Alet, Weihua Hu, Stephan Hoyer and Meire Fortunato. Their work appears in journals such as International Journal for Numerical Methods in Fluids, Nature, AIAA Journal, SIAM Journal on Scientific Computing and Science.
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.