Caroline Sainvitu
- Computational Theory and Mathematics top 5%
- Statistics, Probability and Uncertainty top 2%
- Numerical Analysis top 10%
- Statistical and Nonlinear Physics top 10%
- Computational Mechanics top 10%
- Co-authors
- Philippe L. TointNicholas I. M. GouldPiotr BreitkopfRajan Filomeno CoelhoLieven BaertPierre VillonJean-Pierre LefèbvreJ. Lefebvre
- Topics
- Advanced Multi-Objective Optimization Algorithms (17 papers)Turbomachinery Performance and Optimization (8 papers)Probabilistic and Robust Engineering Design (7 papers)
- Cited by
- Numerical AnalysisStatistics, Probability and UncertaintyComputational Theory and Mathematics
- Journals
- Engineering Fracture MechanicsStructural and Multidisciplinary OptimizationSIAM Journal on Optimization
- Partner nations
- FranceBelgiumUnited States
In The Last Decade
Caroline Sainvitu
23 papers receiving 275 citations
Peers
Comparison fields: 5 of 43
- Computational Theory and Mathematics 145
- Statistics, Probability and Uncertainty 91
- Numerical Analysis 85
- Statistical and Nonlinear Physics 72
- Computational Mechanics 71
Countries citing papers authored by Caroline Sainvitu
This map shows the geographic impact of Caroline Sainvitu'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 Caroline Sainvitu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline Sainvitu more than expected).
Fields of papers citing papers by Caroline Sainvitu
This network shows the impact of papers produced by Caroline Sainvitu. 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 Caroline Sainvitu. The network helps show where Caroline Sainvitu may publish in the future.
Co-authorship network of co-authors of Caroline Sainvitu
This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Sainvitu. A scholar is included among the top collaborators of Caroline Sainvitu 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 Caroline Sainvitu. Caroline Sainvitu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 22 | |
| 5 | 12 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 15 | |
| 13 | 27 | |
| 14 | 4 | |
| 15 | 6 | |
| 16 | 65 | |
| 17 | Adaptive sampling strategies for POD-based surrogate models in an optimization framework | 2 |
| 18 | 1 | |
| 19 | 9 | |
| 20 | A filter-trust-region method for unconstrained optimization | 0 |
About Caroline Sainvitu
Caroline Sainvitu is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Numerical Analysis, having authored 26 papers that have together received 293 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (17 papers), Turbomachinery Performance and Optimization (8 papers) and Probabilistic and Robust Engineering Design (7 papers). The work is most often cited by research in Numerical Analysis (85 citations), Statistics, Probability and Uncertainty (91 citations) and Computational Theory and Mathematics (145 citations). Caroline Sainvitu has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include Philippe L. Toint, Nicholas I. M. Gould, Piotr Breitkopf, Rajan Filomeno Coelho, Lieven Baert, Pierre Villon, Jean-Pierre Lefèbvre, J. Lefebvre, Dominique Orban and Scott Cogan. Their work appears in journals such as Engineering Fracture Mechanics, Structural and Multidisciplinary Optimization and SIAM Journal on Optimization.
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.