Dylan Banarse
Impact in
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- Neural Networks and Applications
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Reinforcement Learning in Robotics
- Machine Learning and Data Classification
Papers in
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- Image Processing and 3D Reconstruction 3
- Face and Expression Recognition 2
- Digital Imaging for Blood Diseases 1
- Generative Adversarial Networks and Image Synthesis 1
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- Neural Networks and Applications 4
- Reinforcement Learning in Robotics 1
- Co-authors
- A.W.G. Duller (6 shared papers)Chrisantha Fernando (3 shared papers)David Pfau (1 shared paper)Max Jaderberg (1 shared paper)Daan Wierstra (1 shared paper)Marc Lanctot (1 shared paper)Malcolm Reynolds (1 shared paper)Frederic Besse (1 shared paper)
- Journals
- Neural Computing and Applications (1 paper)Adaptive Behavior (1 paper)Advances in Engineering Software (1 paper)Neural Processing Letters (1 paper)International Conference on Neural Information Processing (1 paper)
- Partner nations
- United KingdomCanada
In The Last Decade
Dylan Banarse
8 papers receiving 83 citations
Peers
Comparison fields: 5 of 40
- General Social Sciences 6
- Artificial Intelligence 62
- Human-Computer Interaction 9
- Computer Vision and Pattern Recognition 26
- Archeology 1
Countries citing papers authored by Dylan Banarse
This map shows the geographic impact of Dylan Banarse'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 Dylan Banarse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dylan Banarse more than expected).
Fields of papers citing papers by Dylan Banarse
This network shows the impact of papers produced by Dylan Banarse. 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 Dylan Banarse. The network helps show where Dylan Banarse may publish in the future.
Co-authors
The 15 scholars most cited alongside Dylan Banarse, 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 | 2016 | 52 | |
| 2 | 2000 | 11 | |
| 3 | 2002 | 8 | |
| 4 | 1997 | 6 | |
| 5 | 2019 | 6 | |
| 6 | 2024 | 2 | |
| 7 | 1997 | 2 | |
| 8 | 2020 | 1 | |
| 9 | Application of Neural Deformable Templates to Hand Written Digit Classification. | 1997 | 0 |
About Dylan Banarse
Dylan Banarse is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Social Psychology and Cultural Studies, having authored 9 papers that have together received 88 indexed citations. Recurring topics across this work include Neural Networks and Applications (4 papers), Image Processing and 3D Reconstruction (3 papers), Face and Expression Recognition (2 papers), Hand Gesture Recognition Systems (1 paper), Digital Imaging for Blood Diseases (1 paper), Language and cultural evolution (1 paper), Reinforcement Learning in Robotics (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). The work is most often cited by research in General Social Sciences (6 citations), Artificial Intelligence (62 citations), Human-Computer Interaction (9 citations), Computer Vision and Pattern Recognition (26 citations) and Archeology (1 citation). Dylan Banarse has collaborated with scholars based in United Kingdom and Canada. Frequent co-authors include A.W.G. Duller, Chrisantha Fernando, David Pfau, Max Jaderberg, Daan Wierstra, Marc Lanctot, Malcolm Reynolds, Frederic Besse, Siqi Liu and Pushmeet Kohli. Their work appears in journals such as Neural Computing and Applications, Adaptive Behavior, Advances in Engineering Software, Neural Processing Letters and International Conference on Neural Information Processing.
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.