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 2%
Papers in
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- Reinforcement Learning in Robotics 5
- Artificial Intelligence in Games 1
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- Handwritten Text Recognition Techniques 2
- Multimodal Machine Learning Applications 2
- Advanced Image and Video Retrieval Techniques 2
- Co-authors
- Andrew Zisserman (4 shared papers)Andrea Vedaldi (4 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)Nicolas Sonnerat (2 shared papers)
- Journals
- International Journal of Computer Vision (1 paper)Science (1 paper)Lecture notes in computer science (1 paper)Journal of Medical Marketing Device Diagnostic and Pharmaceutical Marketing (1 paper)UCL Discovery (University College London) (1 paper)
- Partner nations
- United KingdomUnited StatesPoland
In The Last Decade
Max Jaderberg
15 papers receiving 3.2k citations
Max Jaderberg's Hit Papers
Peers
Comparison fields: 5 of 125
- Computer Vision and Pattern Recognition 2.1k
- Computational Mathematics 47
- Media Technology 563
- Artificial Intelligence 1.5k
- Human-Computer Interaction 66
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 | 869 |
| 2 | Speeding up Convolutional Neural Networks with Low Rank Expansions Hit paper breakdown → | 2014 | 829 |
| 3 | Deep Features for Text Spotting Hit paper breakdown → | 2014 | 491 |
| 4 | Human-level performance in 3D multiplayer games with population-based reinforcement learning Hit paper breakdown → | 2019 | 392 |
| 5 | 2018 | 265 | |
| 6 | 2017 | 127 | |
| 7 | 2016 | 123 | |
| 8 | Deep Structured Output Learning for Unconstrained Text Recognition | 2015 | 103 |
| 9 | 2016 | 52 | |
| 10 | Sobolev Training for Neural Networks | 2017 | 32 |
| 11 | 2019 | 28 | |
| 12 | Stabilizing Transformers for Reinforcement Learning | 2020 | 9 |
| 13 | Understanding Synthetic Gradients and Decoupled Neural Interfaces | 2017 | 6 |
| 14 | 2002 | 4 | |
| 15 | Open-ended learning in symmetric zero-sum games | 2019 | 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 15 papers that have together received 3.3k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (5 papers), Handwritten Text Recognition Techniques (2 papers), Multimodal Machine Learning Applications (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Model Reduction and Neural Networks (2 papers), Artificial Intelligence in Games (1 paper), Experimental Behavioral Economics Studies (1 paper) and Pharmaceutical industry and healthcare (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (2.1k citations), Computational Mathematics (47 citations), Media Technology (563 citations), Artificial Intelligence (1.5k citations) and Human-Computer Interaction (66 citations). Max Jaderberg has collaborated with scholars based in United Kingdom, United States and Poland. Frequent co-authors include Andrew Zisserman, Andrea Vedaldi, Karen Simonyan, Wojciech Marian Czarnecki, Joel Z. Leibo, Koray Kavukcuoglu, David Silver, Nicolas Sonnerat, Thore Graepel and Guy Lever. Their work appears in journals such as International Journal of Computer Vision, Science, Lecture notes in computer science, Journal of Medical Marketing Device Diagnostic and Pharmaceutical Marketing and UCL Discovery (University College London).
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.