Antoine Cully
- Artificial Intelligence top 2%
- Reinforcement Learning in Robotics 22
- Evolutionary Algorithms and Applications 8
- Metaheuristic Optimization Algorithms Research 7
- Machine Learning and Data Classification 4
- Machine Learning and Algorithms 3
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- Robot Manipulation and Learning 11
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- Advanced Multi-Objective Optimization Algorithms 6
- Computer Science Applications top 10%
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- Robotic Locomotion and Control 4
- Co-authors
- Jean-Baptiste MouretJeff CluneDanesh TaraporeYiannis DemirisFan ZhangOlle NilssonArthur GervaisLiyi Zhou
- Journals
- IEEE Transactions on Evolutionary Computation (3 papers)IEEE Transactions on Robotics (1 paper)Nature (1 paper)
- Partner nations
- United KingdomFranceGreece
In The Last Decade
Antoine Cully
47 papers receiving 978 citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Artificial Intelligence 480
- Control and Systems Engineering 220
- Computational Theory and Mathematics 113
- Computer Science Applications 28
- Computer Vision and Pattern Recognition 102
Countries citing papers authored by Antoine Cully
This map shows the geographic impact of Antoine Cully'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 Antoine Cully with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antoine Cully more than expected).
Fields of papers citing papers by Antoine Cully
This network shows the impact of papers produced by Antoine Cully. 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 Antoine Cully. The network helps show where Antoine Cully may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Antoine Cully, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 0 | |
| 12 | 2023 | 5 | |
| 13 | 2022 | 13 | |
| 14 | 2021 | 52 | |
| 15 | 2021 | 17 | |
| 16 | 2021 | 1 | |
| 17 | 2018 | 14 | |
| 18 | Towards anchoring self-learned representations to those of other agents | 2016 | 3 |
| 19 | Robots that can adapt like animalsbreakdown → | 2015 | 566 |
| 20 | 2014 | 1 |
About Antoine Cully
Antoine Cully is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computational Theory and Mathematics, Management Science and Operations Research and Computer Science Applications, having authored 51 papers that have together received 1.0k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (22 papers), Robot Manipulation and Learning (11 papers), Evolutionary Algorithms and Applications (8 papers), Metaheuristic Optimization Algorithms Research (7 papers), Advanced Multi-Objective Optimization Algorithms (6 papers), Machine Learning and Data Classification (4 papers), Robotic Locomotion and Control (4 papers) and Machine Learning and Algorithms (3 papers). The work is most often cited by research in Artificial Intelligence (480 citations), Control and Systems Engineering (220 citations), Computational Theory and Mathematics (113 citations), Computer Science Applications (28 citations) and Computer Vision and Pattern Recognition (102 citations). Antoine Cully has collaborated with scholars based in United Kingdom, France and Greece. Frequent co-authors include Jean-Baptiste Mouret, Jeff Clune, Danesh Tarapore, Yiannis Demiris, Fan Zhang, Olle Nilsson, Arthur Gervais, Liyi Zhou, Benjamin Livshits and Kaihua Qin. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, IEEE Transactions on Robotics, Nature, Evolutionary Computation and IEEE Transactions on Knowledge and Data Engineering.
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.