Christophe Tribes
Impact in
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- Advanced Multi-Objective Optimization Algorithms
- Numerical Analysis top 10%
- Advanced Optimization Algorithms Research
Papers in
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- Advanced Multi-Objective Optimization Algorithms 15
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- Turbomachinery Performance and Optimization 9
- Co-authors
- Charles Audet (13 shared papers)S. M. Sami (2 shared papers)Jean‐Yves Trépanier (16 shared papers)Sébastien Le Digabel (12 shared papers)Dominique Pelletier (2 shared papers)François Guibault (6 shared papers)T. C. Vu (4 shared papers)Jean‐François Dubé (2 shared papers)
In The Last Decade
Christophe Tribes
35 papers receiving 370 citations
Peers
Comparison fields: 5 of 61
- Computational Theory and Mathematics 150
- Numerical Analysis 51
- Statistics, Probability and Uncertainty 54
- Computational Mechanics 70
- Aerospace Engineering 82
Countries citing papers authored by Christophe Tribes
This map shows the geographic impact of Christophe Tribes'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 Christophe Tribes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christophe Tribes more than expected).
Fields of papers citing papers by Christophe Tribes
This network shows the impact of papers produced by Christophe Tribes. 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 Christophe Tribes. The network helps show where Christophe Tribes may publish in the future.
Co-authors
The 17 scholars most cited alongside Christophe Tribes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 43 | |
| 2 | 1996 | 36 | |
| 3 | 1998 | 35 | |
| 4 | 2022 | 31 | |
| 5 | 2014 | 30 | |
| 6 | 2018 | 26 | |
| 7 | 2015 | 25 | |
| 8 | 2006 | 21 | |
| 9 | 2005 | 20 | |
| 10 | 2021 | 15 | |
| 11 | 2015 | 15 | |
| 12 | 2018 | 15 | |
| 13 | 2004 | 12 | |
| 14 | 2015 | 10 | |
| 15 | NOMAD User Guide. Version 3.7.2 | 2009 | 8 |
| 16 | 2014 | 8 | |
| 17 | 2002 | 5 | |
| 18 | 2013 | 5 | |
| 19 | HyperNOMAD: Hyperparameter optimization of deep neural networks using mesh adaptive direct search | 2019 | 4 |
| 20 | 2013 | 4 |
About Christophe Tribes
Christophe Tribes is a scholar working on Computational Theory and Mathematics, Aerospace Engineering, Artificial Intelligence, Computational Mechanics and Numerical Analysis, having authored 40 papers that have together received 397 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (15 papers), Metaheuristic Optimization Algorithms Research (9 papers), Turbomachinery Performance and Optimization (9 papers), Advanced Optimization Algorithms Research (6 papers), Advanced Numerical Analysis Techniques (5 papers), Advanced Aircraft Design and Technologies (4 papers), Probabilistic and Robust Engineering Design (4 papers) and Computational Fluid Dynamics and Aerodynamics (4 papers). The work is most often cited by research in Computational Theory and Mathematics (150 citations), Numerical Analysis (51 citations), Statistics, Probability and Uncertainty (54 citations), Computational Mechanics (70 citations) and Aerospace Engineering (82 citations). Christophe Tribes has collaborated with scholars based in Canada, France and Australia. Frequent co-authors include Charles Audet, S. M. Sami, Jean‐Yves Trépanier, Sébastien Le Digabel, Dominique Pelletier, François Guibault, T. C. Vu, Jean‐François Dubé, Christophe Devals and N. Giammichele. Their work appears in journals such as Optimization and Engineering, ACM Transactions on Mathematical Software, Optimization Letters, Engineering 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.