François Van Dorpe
- Statistics, Probability and Uncertainty top 1%
- Computational Theory and Mathematics top 5%
- Environmental Engineering top 10%
- Civil and Structural Engineering
- Management Science and Operations Research top 10%
- Co-authors
- Bertrand IoossElena VolkovaAmandine MarrelNicolas DevictorMehdi BettaharGerhard SchäferВ. А. СеменовM. Bavière
- Topics
- Probabilistic and Robust Engineering Design (3 papers)Nuclear and radioactivity studies (2 papers)Groundwater flow and contamination studies (2 papers)
- Cited by
- Statistics, Probability and UncertaintyComputational Theory and MathematicsEnvironmental Engineering
In The Last Decade
François Van Dorpe
5 papers receiving 300 citations
Peers
Comparison fields: 5 of 57
- Statistics, Probability and Uncertainty 202
- Computational Theory and Mathematics 101
- Environmental Engineering 85
- Civil and Structural Engineering 69
- Management Science and Operations Research 68
Countries citing papers authored by François Van Dorpe
This map shows the geographic impact of François Van Dorpe'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 François Van Dorpe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites François Van Dorpe more than expected).
Fields of papers citing papers by François Van Dorpe
This network shows the impact of papers produced by François Van Dorpe. 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 François Van Dorpe. The network helps show where François Van Dorpe may publish in the future.
Co-authorship network of co-authors of François Van Dorpe
This figure shows the co-authorship network connecting the top 25 collaborators of François Van Dorpe. A scholar is included among the top collaborators of François Van Dorpe 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 François Van Dorpe. François Van Dorpe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 157 | |
| 2 | 3 | |
| 3 | 68 | |
| 4 | 58 | |
| 5 | 0 | |
| 6 | 28 |
About François Van Dorpe
François Van Dorpe is a scholar working on Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality and Environmental Engineering, having authored 6 papers that have together received 314 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (3 papers), Nuclear and radioactivity studies (2 papers) and Groundwater flow and contamination studies (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (202 citations), Computational Theory and Mathematics (101 citations) and Environmental Engineering (85 citations). François Van Dorpe has collaborated with scholars based in France, Russia and Canada. Frequent co-authors include Bertrand Iooss, Elena Volkova, Amandine Marrel, Nicolas Devictor, Mehdi Bettahar, Gerhard Schäfer, В. А. Семенов and M. Bavière. Their work appears in journals such as Reliability Engineering & System Safety, Computational Statistics & Data Analysis and Transport in Porous Media.
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.