Karen Veroy
- Statistical and Nonlinear Physics top 0.5%
- Computational Mechanics top 1%
- Statistics, Probability and Uncertainty top 0.5%
- Numerical Analysis top 2%
- Mechanics of Materials top 5%
- Co-authors
- Anthony T. PateraChristophe Prud'HommeGianluigi RozzaDimitrios RovasGabriel TuriniciL. MachielsYvon MadayMartin Grepl
- Topics
- Model Reduction and Neural Networks (28 papers)Advanced Numerical Methods in Computational Mathematics (24 papers)Probabilistic and Robust Engineering Design (12 papers)
- Journals
- Scientific ReportsJournal of Computational PhysicsComputer Methods in Applied Mechanics and Engineering
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Karen Veroy
46 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 76
- Statistical and Nonlinear Physics 1.0k
- Computational Mechanics 738
- Statistics, Probability and Uncertainty 457
- Numerical Analysis 258
- Mechanics of Materials 246
Countries citing papers authored by Karen Veroy
This map shows the geographic impact of Karen Veroy'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 Karen Veroy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karen Veroy more than expected).
Fields of papers citing papers by Karen Veroy
This network shows the impact of papers produced by Karen Veroy. 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 Karen Veroy. The network helps show where Karen Veroy may publish in the future.
Co-authorship network of co-authors of Karen Veroy
This figure shows the co-authorship network connecting the top 25 collaborators of Karen Veroy. A scholar is included among the top collaborators of Karen Veroy 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 Karen Veroy. Karen Veroy 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 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 12 | |
| 13 | 12 | |
| 14 | 3 | |
| 15 | How Uncertainty Quantification and Reduced Order Modeling Change our Model Understanding | 1 |
| 16 | 27 | |
| 17 | Real Time Optimization of Thermal Ablation Cancer Treatments: An application of the certified reduced basis method for parametrized optimal control problems. | 1 |
| 18 | 7 | |
| 19 | 67 | |
| 20 | Reliable Real-Time Solution of Parametrized Elliptic Partial Differential Equations: Application to Elasticity | 0 |
About Karen Veroy
Karen Veroy is a scholar working on Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty and Computational Mechanics, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (28 papers), Advanced Numerical Methods in Computational Mathematics (24 papers) and Probabilistic and Robust Engineering Design (12 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.0k citations), Statistics, Probability and Uncertainty (457 citations) and Numerical Analysis (258 citations). Karen Veroy has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Anthony T. Patera, Christophe Prud'Homme, Gianluigi Rozza, Dimitrios Rovas, Gabriel Turinici, L. Machiels, Yvon Maday, Martin Grepl, Simone Deparis and D.B.P. Huynh. Their work appears in journals such as Scientific Reports, Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering.
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.