Aidan Clark
Impact in
- Atmospheric Science top 5%
- Meteorological Phenomena and Simulations
- Precipitation Measurement and Analysis
- Tropical and Extratropical Cyclones Research
- Cryospheric studies and observations
- Global and Planetary Change top 5%
- Flood Risk Assessment and Management
- Climate variability and models
Papers in
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- Reinforcement Learning in Robotics 2
- Authorship Attribution and Profiling 1
- Neural Networks and Reservoir Computing 1
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- Digital Media Forensic Detection 1
- Co-authors
- Karen Simonyan (2 shared papers)Raia Hadsell (2 shared papers)Maria Athanassiadou (1 shared paper)M. A. Fitzsimons (1 shared paper)Shakir Mohamed (1 shared paper)Suman Ravuri (1 shared paper)N. Robinson (1 shared paper)Rachel Prudden (1 shared paper)
- Journals
- Nature (1 paper)arXiv (Cornell University) (2 papers)International Conference on Machine Learning (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Aidan Clark
5 papers receiving 605 citations
Aidan Clark's Hit Papers
Peers
Comparison fields: 5 of 85
- Atmospheric Science 372
- Global and Planetary Change 284
- Environmental Engineering 129
- Computer Vision and Pattern Recognition 63
- Artificial Intelligence 95
Countries citing papers authored by Aidan Clark
This map shows the geographic impact of Aidan Clark'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 Aidan Clark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aidan Clark more than expected).
Fields of papers citing papers by Aidan Clark
This network shows the impact of papers produced by Aidan Clark. 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 Aidan Clark. The network helps show where Aidan Clark may publish in the future.
Co-authors
The 25 scholars most cited alongside Aidan Clark, 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 | Skilful precipitation nowcasting using deep generative models of radar Hit paper breakdown → | 2021 | 580 |
| 2 | Efficient Video Generation on Complex Datasets. | 2019 | 24 |
| 3 | Stabilizing Transformers for Reinforcement Learning | 2020 | 9 |
| 4 | 2016 | 4 | |
| 5 | V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control | 2020 | 3 |
About Aidan Clark
Aidan Clark is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Information Systems and Atmospheric Science, having authored 5 papers that have together received 620 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (2 papers), Zebrafish Biomedical Research Applications (1 paper), Authorship Attribution and Profiling (1 paper), Spam and Phishing Detection (1 paper), Web Data Mining and Analysis (1 paper), Digital Media Forensic Detection (1 paper), Neural Networks and Reservoir Computing (1 paper) and Flood Risk Assessment and Management (1 paper). The work is most often cited by research in Atmospheric Science (372 citations), Global and Planetary Change (284 citations), Environmental Engineering (129 citations), Computer Vision and Pattern Recognition (63 citations) and Artificial Intelligence (95 citations). Aidan Clark has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Karen Simonyan, Raia Hadsell, Maria Athanassiadou, M. A. Fitzsimons, Shakir Mohamed, Suman Ravuri, N. Robinson, Rachel Prudden, Ellen Clancy and Piotr Mirowski. Their work appears in journals such as Nature, arXiv (Cornell University) and International Conference on Machine Learning.
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.