Thierry Denœux
- Artificial Intelligence top 0.1%
- Management Science and Operations Research top 0.2%
- Computational Theory and Mathematics top 0.2%
- Computer Vision and Pattern Recognition top 1%
- Statistics and Probability top 0.5%
- Co-authors
- Marie-Hélène MassonBenjamin QuostSu RuanSongsak SriboonchittaRégis LengelleFahed AbdallahPhilippe SmetsPhilippe Xu
- Topics
- Multi-Criteria Decision Making (54 papers)Bayesian Modeling and Causal Inference (38 papers)Neural Networks and Applications (29 papers)
In The Last Decade
Thierry Denœux
172 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Artificial Intelligence 4.0k
- Management Science and Operations Research 1.7k
- Computational Theory and Mathematics 1.2k
- Computer Vision and Pattern Recognition 1.2k
- Statistics and Probability 786
Countries citing papers authored by Thierry Denœux
This map shows the geographic impact of Thierry Denœux'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 Thierry Denœux with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thierry Denœux more than expected).
Fields of papers citing papers by Thierry Denœux
This network shows the impact of papers produced by Thierry Denœux. 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 Thierry Denœux. The network helps show where Thierry Denœux may publish in the future.
Co-authorship network of co-authors of Thierry Denœux
This figure shows the co-authorship network connecting the top 25 collaborators of Thierry Denœux. A scholar is included among the top collaborators of Thierry Denœux 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 Thierry Denœux. Thierry Denœux 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 | 1 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 3 | |
| 6 | 17 | |
| 7 | 14 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 23 | |
| 12 | 58 | |
| 13 | 54 | |
| 14 | Maximum likelihood estimation from fuzzy data using the EM algorithm | 3 |
| 15 | A New Justification of the Unnormalized Dempster's Rule of Combination from the Least Commitment Principle | 3 |
| 16 | Distributed data fusion: application to confidence management in vehicular networks | 9 |
| 17 | Map matching algorithm using belief function theory | 14 |
| 18 | Fusion de décisions postales dans le cadre du Modèle des Croyances Transférables | 1 |
| 19 | Urban Storm Water Pollution Forecasting Using Recurrent Neural Networks | 1 |
| 20 | Performance analysis of a MLP weight initialization algorithm. | 4 |
About Thierry Denœux
Thierry Denœux is a scholar working on Management Science and Operations Research, Statistics and Probability and Artificial Intelligence, having authored 180 papers that have together received 6.6k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (54 papers), Bayesian Modeling and Causal Inference (38 papers) and Neural Networks and Applications (29 papers). The work is most often cited by research in Management Science and Operations Research (1.7k citations), Artificial Intelligence (4.0k citations) and Statistics and Probability (786 citations). Thierry Denœux has collaborated with scholars based in France, China and Thailand. Frequent co-authors include Marie-Hélène Masson, Benjamin Quost, Su Ruan, Songsak Sriboonchitta, Régis Lengelle, Fahed Abdallah, Philippe Smets, Philippe Xu, Chunfeng Lian and Patrice Aknin. Their work appears in journals such as Journal of Applied Physics, Applied Energy and IEEE Transactions on Image Processing.
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.