Max Jaderberg
Impact in
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- Handwritten Text Recognition Techniques
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Image Processing and 3D Reconstruction
- Image Retrieval and Classification Techniques
- Computational Mathematics top 5%
Papers in
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- Reinforcement Learning in Robotics 5
- Natural Language Processing Techniques 1
- Artificial Intelligence in Games 1
- Evolutionary Algorithms and Applications 1
- Neural Networks and Applications 1
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- Multimodal Machine Learning Applications 2
- Co-authors
- Andrea Vedaldi (3 shared papers)Andrew Zisserman (3 shared papers)Karen Simonyan (2 shared papers)Wojciech Marian Czarnecki (6 shared papers)Joel Z. Leibo (3 shared papers)Koray Kavukcuoglu (4 shared papers)David Silver (3 shared papers)Thore Graepel (3 shared papers)
- Journals
- Science (1 paper)International Journal of Computer Vision (1 paper)Journal of Medical Marketing Device Diagnostic and Pharmaceutical Marketing (1 paper)UCL Discovery (University College London) (1 paper)Oxford University Research Archive (ORA) (University of Oxford) (1 paper)
- Partner nations
- United KingdomUnited StatesPoland
In The Last Decade
Max Jaderberg
14 papers receiving 2.4k citations
Max Jaderberg's Hit Papers
Peers
Comparison fields: 5 of 122
- Computer Vision and Pattern Recognition 1.5k
- Computational Mathematics 40
- Artificial Intelligence 1.2k
- Media Technology 329
- Signal Processing 88
Countries citing papers authored by Max Jaderberg
This map shows the geographic impact of Max Jaderberg'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 Max Jaderberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Jaderberg more than expected).
Fields of papers citing papers by Max Jaderberg
This network shows the impact of papers produced by Max Jaderberg. 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 Max Jaderberg. The network helps show where Max Jaderberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Max Jaderberg, 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 | Reading Text in the Wild with Convolutional Neural Networks Hit paper breakdown → | 2015 | 751 |
| 2 | Speeding up Convolutional Neural Networks with Low Rank Expansions Hit paper breakdown → | 2014 | 735 |
| 3 | Human-level performance in 3D multiplayer games with population-based reinforcement learning Hit paper breakdown → | 2019 | 349 |
| 4 | 2018 | 229 | |
| 5 | 2017 | 110 | |
| 6 | 2016 | 110 | |
| 7 | Deep Structured Output Learning for Unconstrained Text Recognition | 2015 | 98 |
| 8 | 2016 | 44 | |
| 9 | Sobolev Training for Neural Networks | 2017 | 28 |
| 10 | 2019 | 26 | |
| 11 | Stabilizing Transformers for Reinforcement Learning | 2020 | 9 |
| 12 | Understanding Synthetic Gradients and Decoupled Neural Interfaces | 2017 | 6 |
| 13 | Open-ended learning in symmetric zero-sum games | 2019 | 2 |
| 14 | 2002 | 2 |
About Max Jaderberg
Max Jaderberg is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Political Science and International Relations and Strategy and Management, having authored 14 papers that have together received 2.5k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (5 papers), Multimodal Machine Learning Applications (2 papers), Model Reduction and Neural Networks (2 papers), Natural Language Processing Techniques (1 paper), Cell Image Analysis Techniques (1 paper), Artificial Intelligence in Games (1 paper), Evolutionary Algorithms and Applications (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Computational Mathematics (40 citations), Artificial Intelligence (1.2k citations), Media Technology (329 citations) and Signal Processing (88 citations). Max Jaderberg has collaborated with scholars based in United Kingdom, United States and Poland. Frequent co-authors include Andrea Vedaldi, Andrew Zisserman, Karen Simonyan, Wojciech Marian Czarnecki, Joel Z. Leibo, Koray Kavukcuoglu, David Silver, Thore Graepel, Nicolas Sonnerat and Guy Lever. Their work appears in journals such as Science, International Journal of Computer Vision, Journal of Medical Marketing Device Diagnostic and Pharmaceutical Marketing, UCL Discovery (University College London) and Oxford University Research Archive (ORA) (University of Oxford).
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.