Mickaël Binois
- Computational Theory and Mathematics top 2%
- Artificial Intelligence top 10%
- Management Science and Operations Research top 5%
- Statistics, Probability and Uncertainty top 2%
- Control and Systems Engineering
- Co-authors
- Robert B. GramacyMichael LudkovskiOlivier RoustantDavid GinsbourgerVictor PichenyJustin M. WozniakNicholson CollierJonathan Ozik
- Topics
- Advanced Multi-Objective Optimization Algorithms (14 papers)Gaussian Processes and Bayesian Inference (11 papers)Probabilistic and Robust Engineering Design (8 papers)
- Cited by
- Statistics, Probability and UncertaintyComputational Theory and MathematicsManagement Science and Operations Research
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Mickaël Binois
27 papers receiving 486 citations
Peers
Comparison fields: 5 of 96
- Computational Theory and Mathematics 198
- Artificial Intelligence 163
- Management Science and Operations Research 145
- Statistics, Probability and Uncertainty 98
- Control and Systems Engineering 50
Countries citing papers authored by Mickaël Binois
This map shows the geographic impact of Mickaël Binois'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 Mickaël Binois with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mickaël Binois more than expected).
Fields of papers citing papers by Mickaël Binois
This network shows the impact of papers produced by Mickaël Binois. 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 Mickaël Binois. The network helps show where Mickaël Binois may publish in the future.
Co-authorship network of co-authors of Mickaël Binois
This figure shows the co-authorship network connecting the top 25 collaborators of Mickaël Binois. A scholar is included among the top collaborators of Mickaël Binois 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 Mickaël Binois. Mickaël Binois 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 | 0 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 5 | |
| 9 | 74 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 34 | |
| 13 | 28 | |
| 14 | 12 | |
| 15 | The Kalai-Smorodinsky solution for many-objective Bayesian optimization | 3 |
| 16 | 8 | |
| 17 | 10 | |
| 18 | 27 | |
| 19 | 8 | |
| 20 | 35 |
About Mickaël Binois
Mickaël Binois is a scholar working on Statistics, Probability and Uncertainty, Management Science and Operations Research and Computational Theory and Mathematics, having authored 29 papers that have together received 492 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (14 papers), Gaussian Processes and Bayesian Inference (11 papers) and Probabilistic and Robust Engineering Design (8 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (98 citations), Computational Theory and Mathematics (198 citations) and Management Science and Operations Research (145 citations). Mickaël Binois has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Robert B. Gramacy, Michael Ludkovski, Olivier Roustant, David Ginsbourger, Victor Picheny, Justin M. Wozniak, Nicholson Collier, Jonathan Ozik, Charles M. Macal and Stéphane Lanteri. Their work appears in journals such as Technometrics, European Journal of Operational Research and Optics Express.
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.