Victor Picheny
- Computational Theory and Mathematics top 0.5%
- Statistics, Probability and Uncertainty top 0.2%
- Management Science and Operations Research top 1%
- Artificial Intelligence top 5%
- Civil and Structural Engineering top 10%
- Co-authors
- David GinsbourgerRaphael T. HaftkaTobias WagnerJulien BectEmmanuel VázquezNam‐Ho KimOlivier RoustantLing Li
- Topics
- Advanced Multi-Objective Optimization Algorithms (23 papers)Probabilistic and Robust Engineering Design (11 papers)Optimal Experimental Design Methods (11 papers)
- Cited by
- Statistics, Probability and UncertaintyComputational Theory and MathematicsManagement Science and Operations Research
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Victor Picheny
33 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 100
- Computational Theory and Mathematics 754
- Statistics, Probability and Uncertainty 607
- Management Science and Operations Research 471
- Artificial Intelligence 297
- Civil and Structural Engineering 121
Countries citing papers authored by Victor Picheny
This map shows the geographic impact of Victor Picheny'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 Victor Picheny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victor Picheny more than expected).
Fields of papers citing papers by Victor Picheny
This network shows the impact of papers produced by Victor Picheny. 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 Victor Picheny. The network helps show where Victor Picheny may publish in the future.
Co-authorship network of co-authors of Victor Picheny
This figure shows the co-authorship network connecting the top 25 collaborators of Victor Picheny. A scholar is included among the top collaborators of Victor Picheny 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 Victor Picheny. Victor Picheny is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Modeling and Optimization with Gaussian Processes in Reduced Eigenbases | 11 |
| 2 | 14 | |
| 3 | 21 | |
| 4 | The Kalai-Smorodinsky solution for many-objective Bayesian optimization | 3 |
| 5 | 20 | |
| 6 | 4 | |
| 7 | 18 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 67 | |
| 12 | 3 | |
| 13 | 19 | |
| 14 | 75 | |
| 15 | 28 | |
| 16 | 30 | |
| 17 | 2 | |
| 18 | 3 | |
| 19 | 11 | |
| 20 | 9 |
About Victor Picheny
Victor Picheny is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Management Science and Operations Research, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (23 papers), Probabilistic and Robust Engineering Design (11 papers) and Optimal Experimental Design Methods (11 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (607 citations), Computational Theory and Mathematics (754 citations) and Management Science and Operations Research (471 citations). Victor Picheny has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include David Ginsbourger, Raphael T. Haftka, Tobias Wagner, Julien Bect, Emmanuel Vázquez, Nam‐Ho Kim, Olivier Roustant, Ling Li, Nam Ho Kim and Inneke Van Nieuwenhuyse. Their work appears in journals such as PLoS ONE, Technometrics and European Journal of Operational Research.
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.