Hubert Soyer
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
- Memory and Neural Mechanisms
- EEG and Brain-Computer Interfaces
- Artificial Intelligence top 5%
- Reinforcement Learning in Robotics
Papers in
-
- Natural Language Processing Techniques 3
- Reinforcement Learning in Robotics 3
- Topic Modeling 3
- Semantic Web and Ontologies 1
- Evolutionary Algorithms and Applications 1
-
- Single-cell and spatial transcriptomics 1
- Co-authors
- Dharshan Kumaran (2 shared papers)Dhruva Tirumala (2 shared papers)Joel Z. Leibo (1 shared paper)Jane X. Wang (1 shared paper)Zeb Kurth‐Nelson (1 shared paper)Matthew Botvinick (2 shared papers)Demis Hassabis (1 shared paper)Simon Schmitt (1 shared paper)
- Journals
- Nature Neuroscience (1 paper)arXiv (Cornell University) (2 papers)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- United KingdomItalyJapan
In The Last Decade
Hubert Soyer
8 papers receiving 608 citations
Hubert Soyer's Hit Papers
Peers
Comparison fields: 5 of 80
- Cognitive Neuroscience 243
- Artificial Intelligence 296
- Computer Vision and Pattern Recognition 130
- General Decision Sciences 11
- Cellular and Molecular Neuroscience 51
Countries citing papers authored by Hubert Soyer
This map shows the geographic impact of Hubert Soyer'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 Hubert Soyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hubert Soyer more than expected).
Fields of papers citing papers by Hubert Soyer
This network shows the impact of papers produced by Hubert Soyer. 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 Hubert Soyer. The network helps show where Hubert Soyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Hubert Soyer, 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 | Prefrontal cortex as a meta-reinforcement learning system Hit paper breakdown → | 2018 | 317 |
| 2 | 2016 | 173 | |
| 3 | 2019 | 106 | |
| 4 | Size (and Domain) Matters: Evaluating Semantic Word Space Representations for Biomedical Text | 2012 | 17 |
| 5 | Uncovering Surprising Behaviors in Reinforcement Learning via Worst-case Analysis | 2018 | 6 |
| 6 | V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control | 2020 | 3 |
| 7 | Japanese to English Machine Translation using Preordering and Compositional Distributed Semantics | 2014 | 3 |
| 8 | 2015 | 2 |
About Hubert Soyer
Hubert Soyer is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 8 papers that have together received 627 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (3 papers), Reinforcement Learning in Robotics (3 papers), Topic Modeling (3 papers), Single-cell and spatial transcriptomics (1 paper), Semantic Web and Ontologies (1 paper), Mental Health Research Topics (1 paper), Evolutionary Algorithms and Applications (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Cognitive Neuroscience (243 citations), Artificial Intelligence (296 citations), Computer Vision and Pattern Recognition (130 citations), General Decision Sciences (11 citations) and Cellular and Molecular Neuroscience (51 citations). Hubert Soyer has collaborated with scholars based in United Kingdom, Italy and Japan. Frequent co-authors include Dharshan Kumaran, Dhruva Tirumala, Joel Z. Leibo, Jane X. Wang, Zeb Kurth‐Nelson, Matthew Botvinick, Demis Hassabis, Simon Schmitt, Wojciech Marian Czarnecki and Matteo Hessel. Their work appears in journals such as Nature Neuroscience, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.