Yves Deville
- Computational Theory and Mathematics top 2%
- Artificial Intelligence top 10%
- Management Science and Operations Research top 5%
- Statistics, Probability and Uncertainty top 2%
- Global and Planetary Change
- Co-authors
- Olivier RoustantDavid GinsbourgerGuillaume PerrinHenry P. WynnThierry KleinDéborah IdierFrançois BachocJérémy Rohmer
- Topics
- Advanced Multi-Objective Optimization Algorithms (3 papers)Gaussian Processes and Bayesian Inference (3 papers)Optimal Experimental Design Methods (1 paper)
- Cited by
- Statistics, Probability and UncertaintyComputational Theory and MathematicsManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterologíaJournal of Statistical SoftwareHAL (Le Centre pour la Communication Scientifique Directe)
- Partner nations
- FranceUnited States
In The Last Decade
Yves Deville
4 papers receiving 409 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Computational Theory and Mathematics 199
- Artificial Intelligence 130
- Management Science and Operations Research 121
- Statistics, Probability and Uncertainty 119
- Global and Planetary Change 46
Countries citing papers authored by Yves Deville
This map shows the geographic impact of Yves Deville'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 Yves Deville with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yves Deville more than expected).
Fields of papers citing papers by Yves Deville
This network shows the impact of papers produced by Yves Deville. 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 Yves Deville. The network helps show where Yves Deville may publish in the future.
Co-authorship network of co-authors of Yves Deville
This figure shows the co-authorship network connecting the top 25 collaborators of Yves Deville. A scholar is included among the top collaborators of Yves Deville 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 Yves Deville. Yves Deville is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Group kernels for Gaussian process metamodels with categorical inputs | 22 |
| 3 | DiceKriging, DiceOptim: Two R Packages for the Analysis of Computer Experiments by Kriging-Based Metamodeling and Optimization | 38 |
| 4 | DiceKriging,DiceOptim: TwoRPackages for the Analysis of Computer Experiments by Kriging-Based Metamodeling and Optimizationbreakdown → | 367 |
About Yves Deville
Yves Deville is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Artificial Intelligence, having authored 4 papers that have together received 429 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (3 papers), Gaussian Processes and Bayesian Inference (3 papers) and Optimal Experimental Design Methods (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (119 citations), Computational Theory and Mathematics (199 citations) and Management Science and Operations Research (121 citations). Yves Deville has collaborated with scholars based in France and United States. Frequent co-authors include Olivier Roustant, David Ginsbourger, Guillaume Perrin, Henry P. Wynn, Thierry Klein, Déborah Idier, François Bachoc and Jérémy Rohmer. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Statistical Software and HAL (Le Centre pour la Communication Scientifique Directe).
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.