Sébastien da Veiga
- Statistics, Probability and Uncertainty top 1%
- Ocean Engineering top 5%
- Mechanical Engineering
- Computational Theory and Mathematics top 5%
- Artificial Intelligence
- Co-authors
- Amandine MarrelFabrice GamboaFrançois WahlM. Le RavalecErwan ScornetBertrand IoossMathieu RibatetSamir Touzani
- Topics
- Reservoir Engineering and Simulation Methods (19 papers)Hydraulic Fracturing and Reservoir Analysis (11 papers)Probabilistic and Robust Engineering Design (10 papers)
In The Last Decade
Sébastien da Veiga
30 papers receiving 540 citations
Peers
Comparison fields: 5 of 103
- Statistics, Probability and Uncertainty 196
- Ocean Engineering 160
- Mechanical Engineering 128
- Computational Theory and Mathematics 101
- Artificial Intelligence 89
Countries citing papers authored by Sébastien da Veiga
This map shows the geographic impact of Sébastien da Veiga'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 Sébastien da Veiga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sébastien da Veiga more than expected).
Fields of papers citing papers by Sébastien da Veiga
This network shows the impact of papers produced by Sébastien da Veiga. 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 Sébastien da Veiga. The network helps show where Sébastien da Veiga may publish in the future.
Co-authorship network of co-authors of Sébastien da Veiga
This figure shows the co-authorship network connecting the top 25 collaborators of Sébastien da Veiga. A scholar is included among the top collaborators of Sébastien da Veiga 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 Sébastien da Veiga. Sébastien da Veiga 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 | 43 | |
| 3 | 27 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 99 | |
| 8 | 29 | |
| 9 | 13 | |
| 10 | 8 | |
| 11 | 30 | |
| 12 | 47 | |
| 13 | 7 | |
| 14 | 14 | |
| 15 | 75 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 76 |
About Sébastien da Veiga
Sébastien da Veiga is a scholar working on Statistics, Probability and Uncertainty, Ocean Engineering and Computational Theory and Mathematics, having authored 32 papers that have together received 566 indexed citations. Recurring topics across this work include Reservoir Engineering and Simulation Methods (19 papers), Hydraulic Fracturing and Reservoir Analysis (11 papers) and Probabilistic and Robust Engineering Design (10 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (196 citations), Ocean Engineering (160 citations) and Computational Theory and Mathematics (101 citations). Sébastien da Veiga has collaborated with scholars based in France and Canada. Frequent co-authors include Amandine Marrel, Fabrice Gamboa, François Wahl, M. Le Ravalec, Erwan Scornet, Bertrand Iooss, Mathieu Ribatet, Samir Touzani, Gérard Biau and Véronique Gervais. Their work appears in journals such as Technometrics, Biometrika and Reliability Engineering & System Safety.
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.