Cédric Colas
Impact in
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- Language and cultural evolution
Papers in
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- Social Robot Interaction and HRI 3
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- Reinforcement Learning in Robotics 3
- Evolutionary Algorithms and Applications 1
- AI in Service Interactions 1
- Co-authors
- Pierre‐Yves Oudeyer (3 shared papers)Olivier Sigaud (2 shared papers)Clément Moulin-Frier (2 shared papers)A. Aldo Faisal (1 shared paper)Pierre-Yves Oudeyer (2 shared papers)Mohamed Chétouani (1 shared paper)Katja Hofmann (1 shared paper)Peter Ford Dominey (1 shared paper)
- Journals
- Journal of Artificial Intelligence Research (1 paper)IEEE Transactions on Cognitive and Developmental Systems (1 paper)Nature Machine Intelligence (1 paper)Spiral (Imperial College London) (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- FranceUnited Kingdom
In The Last Decade
Cédric Colas
6 papers receiving 59 citations
Peers
Comparison fields: 5 of 31
- Health Informatics 2
- Cultural Studies 8
- Artificial Intelligence 31
- Cognitive Neuroscience 14
- Developmental and Educational Psychology 8
Countries citing papers authored by Cédric Colas
This map shows the geographic impact of Cédric Colas'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 Cédric Colas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cédric Colas more than expected).
Fields of papers citing papers by Cédric Colas
This network shows the impact of papers produced by Cédric Colas. 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 Cédric Colas. The network helps show where Cédric Colas may publish in the future.
Co-authors
The 8 scholars most cited alongside Cédric Colas, 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 | 2022 | 24 | |
| 2 | 2022 | 16 | |
| 3 | 2018 | 8 | |
| 4 | 2020 | 6 | |
| 5 | 2022 | 4 | |
| 6 | Language-Goal Imagination to Foster Creative Exploration in Deep RL | 2020 | 1 |
| 7 | 2024 | 0 |
About Cédric Colas
Cédric Colas is a scholar working on Social Psychology, Artificial Intelligence, Control and Systems Engineering, Cellular and Molecular Neuroscience and General Health Professions, having authored 7 papers that have together received 59 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (3 papers), Social Robot Interaction and HRI (3 papers), Hermeneutics and Narrative Identity (1 paper), Health, Medicine and Society (1 paper), Neuroscience and Neural Engineering (1 paper), Evolutionary Algorithms and Applications (1 paper), AI in Service Interactions (1 paper) and Aging, Elder Care, and Social Issues (1 paper). The work is most often cited by research in Health Informatics (2 citations), Cultural Studies (8 citations), Artificial Intelligence (31 citations), Cognitive Neuroscience (14 citations) and Developmental and Educational Psychology (8 citations). Cédric Colas has collaborated with scholars based in France and United Kingdom. Frequent co-authors include Pierre‐Yves Oudeyer, Olivier Sigaud, Clément Moulin-Frier, A. Aldo Faisal, Pierre-Yves Oudeyer, Mohamed Chétouani, Katja Hofmann and Peter Ford Dominey. Their work appears in journals such as Journal of Artificial Intelligence Research, IEEE Transactions on Cognitive and Developmental Systems, Nature Machine Intelligence, Spiral (Imperial College London) and arXiv (Cornell University).
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.