Olivier Teytaud
- Artificial Intelligence top 1%
- Computational Theory and Mathematics top 2%
- Economics and Econometrics top 5%
- Sociology and Political Science top 10%
- Management Science and Operations Research top 5%
- Co-authors
- Sylvain GellyRémi MunosYizao WangChang-Shing LeeA. MoreauMei‐Hui WangAnne AugerArpad Rimmel
- Topics
- Metaheuristic Optimization Algorithms Research (32 papers)Artificial Intelligence in Games (30 papers)Evolutionary Algorithms and Applications (27 papers)
In The Last Decade
Olivier Teytaud
96 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 106
- Artificial Intelligence 843
- Computational Theory and Mathematics 205
- Economics and Econometrics 183
- Sociology and Political Science 164
- Management Science and Operations Research 123
Countries citing papers authored by Olivier Teytaud
This map shows the geographic impact of Olivier Teytaud'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 Olivier Teytaud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olivier Teytaud more than expected).
Fields of papers citing papers by Olivier Teytaud
This network shows the impact of papers produced by Olivier Teytaud. 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 Olivier Teytaud. The network helps show where Olivier Teytaud may publish in the future.
Co-authorship network of co-authors of Olivier Teytaud
This figure shows the co-authorship network connecting the top 25 collaborators of Olivier Teytaud. A scholar is included among the top collaborators of Olivier Teytaud based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Olivier Teytaud. Olivier Teytaud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 21 | |
| 6 | 6 | |
| 7 | 23 | |
| 8 | 1 | |
| 9 | Log(lambda) Modifications for Optimal Parallelism. | 1 |
| 10 | 9x9 GO AS BLACK WITH KOMI 7.5: AT LAST SOME GAMES WON AGAINST TOP PLAYERS IN THE DISADVANTAGEOUS SITUATION | 3 |
| 11 | On the huge benefit of quasi-random mutations for multimodal optimization with application to grid-based tuning of neurocontrollers | 3 |
| 12 | On the Parallelization of Monte-Carlo planning | 20 |
| 13 | Introduction de connaissances expertes en Bandit-Based Monte-Carlo Planning avec application au Computer-Go | 1 |
| 14 | Conditionning, halting criteria and choosing lambda | 1 |
| 15 | 12 | |
| 16 | Comparison-based algorithms: worst-case optimality, optimality w.r.t a bayesian prior, the intraclass-variance minimization in EDA, and implementations with billiards | 1 |
| 17 | Learning for stochastic dynamic programming | 8 |
| 18 | A multi-objective multi-modal optimization approach for mining stable spatio-temporal patterns | 18 |
| 19 | 47 | |
| 20 | Multi-objective Multi-modal Optimization for Mining Spatio-temporal Patterns. | 1 |
About Olivier Teytaud
Olivier Teytaud is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research, having authored 101 papers that have together received 1.2k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (32 papers), Artificial Intelligence in Games (30 papers) and Evolutionary Algorithms and Applications (27 papers). The work is most often cited by research in Artificial Intelligence (843 citations), Computational Theory and Mathematics (205 citations) and Management Science and Operations Research (123 citations). Olivier Teytaud has collaborated with scholars based in France, Taiwan and China. Frequent co-authors include Sylvain Gelly, Rémi Munos, Yizao Wang, Chang-Shing Lee, A. Moreau, Mei‐Hui Wang, Anne Auger, Arpad Rimmel, Michèle Sébag and Marc Schoenauer. Their work appears in journals such as PLoS ONE, Communications of the ACM and IEEE Transactions on Image 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.