Raia Hadsell
Impact in
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Face recognition and analysis
- Artificial Intelligence top 0.05%
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
Papers in
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- Robotic Path Planning Algorithms 10
- Advanced Vision and Imaging 9
- Multimodal Machine Learning Applications 5
- Advanced Image and Video Retrieval Techniques 5
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- Reinforcement Learning in Robotics 7
- Domain Adaptation and Few-Shot Learning 6
- Co-authors
- Yann LeCun (11 shared papers)Sumit Chopra (3 shared papers)Razvan Pascanu (9 shared papers)Andrei A. Rusu (6 shared papers)Dharshan Kumaran (2 shared papers)Guillaume Desjardins (2 shared papers)James Kirkpatrick (2 shared papers)Agnieszka Grabska‐Barwińska (1 shared paper)
- Journals
- Journal of Field Robotics (2 papers)IEEE Robotics and Automation Letters (2 papers)Trends in Cognitive Sciences (1 paper)Nature (1 paper)SAE technical papers on CD-ROM/SAE technical paper series (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Raia Hadsell
39 papers receiving 11.2k citations
Raia Hadsell's Hit Papers
Peers
Comparison fields: 5 of 190
- Computer Vision and Pattern Recognition 5.8k
- Artificial Intelligence 5.9k
- Signal Processing 883
- Media Technology 596
- Health Informatics 65
Countries citing papers authored by Raia Hadsell
This map shows the geographic impact of Raia Hadsell'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 Raia Hadsell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raia Hadsell more than expected).
Fields of papers citing papers by Raia Hadsell
This network shows the impact of papers produced by Raia Hadsell. 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 Raia Hadsell. The network helps show where Raia Hadsell may publish in the future.
Co-authors
The 25 scholars most cited alongside Raia Hadsell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Overcoming catastrophic forgetting in neural networks Hit paper breakdown → | 2017 | 3594 |
| 2 | Dimensionality Reduction by Learning an Invariant Mapping Hit paper breakdown → | 2006 | 2932 |
| 3 | Learning a Similarity Metric Discriminatively, with Application to Face Verification Hit paper breakdown → | 2005 | 2422 |
| 4 | Skilful precipitation nowcasting using deep generative models of radar Hit paper breakdown → | 2021 | 554 |
| 5 | A Tutorial on Energy-Based Learning Hit paper breakdown → | 2006 | 401 |
| 6 | The limits and potentials of deep learning for robotics Hit paper breakdown → | 2018 | 309 |
| 7 | 2020 | 250 | |
| 8 | 2009 | 232 | |
| 9 | 2016 | 173 | |
| 10 | 2018 | 126 | |
| 11 | 2003 | 82 | |
| 12 | 2019 | 79 | |
| 13 | 2008 | 54 | |
| 14 | 2016 | 42 | |
| 15 | 2009 | 34 | |
| 16 | 2010 | 29 | |
| 17 | 2008 | 29 | |
| 18 | 2019 | 26 | |
| 19 | 2020 | 25 | |
| 20 | 2007 | 25 |
About Raia Hadsell
Raia Hadsell is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 40 papers that have together received 11.6k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (14 papers), Robotic Path Planning Algorithms (10 papers), Advanced Vision and Imaging (9 papers), Reinforcement Learning in Robotics (7 papers), Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (5 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Robot Manipulation and Learning (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.8k citations), Artificial Intelligence (5.9k citations), Signal Processing (883 citations), Media Technology (596 citations) and Health Informatics (65 citations). Raia Hadsell has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Yann LeCun, Sumit Chopra, Razvan Pascanu, Andrei A. Rusu, Dharshan Kumaran, Guillaume Desjardins, James Kirkpatrick, Agnieszka Grabska‐Barwińska, Demis Hassabis and Claudia Clopath. Their work appears in journals such as Journal of Field Robotics, IEEE Robotics and Automation Letters, Trends in Cognitive Sciences, Nature and SAE technical papers on CD-ROM/SAE technical paper series.
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.