V. Dubourg
- Statistics, Probability and Uncertainty top 0.5%
- Civil and Structural Engineering top 5%
- Computational Theory and Mathematics top 2%
- Management Science and Operations Research top 5%
- Mechanics of Materials top 10%
- Co-authors
- Bruno SudretFrançois DeheegerPatrick ArmandFabien BrochetonJean‐François BergmannOliver ThewsDenis PouchainJean‐Luc Bosson
- Topics
- Probabilistic and Robust Engineering Design (3 papers)Wind and Air Flow Studies (1 paper)Air Quality and Health Impacts (1 paper)
- Cited by
- Statistics, Probability and UncertaintyComputational Theory and MathematicsManagement Science and Operations Research
- Partner nations
- FranceSwitzerlandGermany
In The Last Decade
V. Dubourg
4 papers receiving 549 citations
Hit Papers
Peers
Comparison fields: 5 of 46
- Statistics, Probability and Uncertainty 510
- Civil and Structural Engineering 225
- Computational Theory and Mathematics 219
- Management Science and Operations Research 134
- Mechanics of Materials 105
Countries citing papers authored by V. Dubourg
This map shows the geographic impact of V. Dubourg'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 V. Dubourg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Dubourg more than expected).
Fields of papers citing papers by V. Dubourg
This network shows the impact of papers produced by V. Dubourg. 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 V. Dubourg. The network helps show where V. Dubourg may publish in the future.
Co-authorship network of co-authors of V. Dubourg
This figure shows the co-authorship network connecting the top 25 collaborators of V. Dubourg. A scholar is included among the top collaborators of V. Dubourg 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 V. Dubourg. V. Dubourg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 129 | |
| 4 | Metamodel-based importance sampling for structural reliability analysisbreakdown → | 420 |
| 5 | 0 |
About V. Dubourg
V. Dubourg is a scholar working on Statistics, Probability and Uncertainty, Internal Medicine and Safety, Risk, Reliability and Quality, having authored 5 papers that have together received 559 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (3 papers), Wind and Air Flow Studies (1 paper) and Air Quality and Health Impacts (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (510 citations), Computational Theory and Mathematics (219 citations) and Management Science and Operations Research (134 citations). V. Dubourg has collaborated with scholars based in France, Switzerland and Germany. Frequent co-authors include Bruno Sudret, François Deheeger, Patrick Armand, Fabien Brocheton, Jean‐François Bergmann, Oliver Thews, Denis Pouchain, Jean‐Luc Bosson and Anne Riemann. Their work appears in journals such as Blood, Atmospheric Environment and Advances in experimental medicine and biology.
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.