Didier Chételat
- Artificial Intelligence
- Industrial and Manufacturing Engineering top 10%
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Computational Theory and Mathematics
- Co-authors
- Andrea LodiChristopher MorrisQuentin CappartPetar VeličkovićElias B. KhalilManuel MoralesMaxime GasseLaurent Charlin
- Topics
- Constraint Satisfaction and Optimization (2 papers)Anomaly Detection Techniques and Applications (2 papers)Complex Systems and Time Series Analysis (2 papers)
- Journals
- Operations Research LettersArchivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)PolyPublie (École Polytechnique de Montréal)
- Partner nations
- CanadaUnited KingdomChina
In The Last Decade
Didier Chételat
4 papers receiving 117 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 55
- Industrial and Manufacturing Engineering 34
- Computer Networks and Communications 25
- Computer Vision and Pattern Recognition 17
- Computational Theory and Mathematics 13
Countries citing papers authored by Didier Chételat
This map shows the geographic impact of Didier Chételat'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 Didier Chételat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Didier Chételat more than expected).
Fields of papers citing papers by Didier Chételat
This network shows the impact of papers produced by Didier Chételat. 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 Didier Chételat. The network helps show where Didier Chételat may publish in the future.
Co-authorship network of co-authors of Didier Chételat
This figure shows the co-authorship network connecting the top 25 collaborators of Didier Chételat. A scholar is included among the top collaborators of Didier Chételat 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 Didier Chételat. Didier Chételat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 105 | |
| 7 | Exact Combinatorial Optimization with Graph Convolutional Neural Networks | 12 |
About Didier Chételat
Didier Chételat is a scholar working on Software, Industrial and Manufacturing Engineering and Computer Networks and Communications, having authored 7 papers that have together received 125 indexed citations. Recurring topics across this work include Constraint Satisfaction and Optimization (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Complex Systems and Time Series Analysis (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (34 citations), Artificial Intelligence (55 citations) and Computational Mathematics (1 citation). Didier Chételat has collaborated with scholars based in Canada, United Kingdom and China. Frequent co-authors include Andrea Lodi, Christopher Morris, Quentin Cappart, Petar Veličković, Elias B. Khalil, Manuel Morales, Maxime Gasse, Laurent Charlin, Mark Coates and Jianye Hao. Their work appears in journals such as Operations Research Letters, Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) and PolyPublie (École Polytechnique de Montréal).
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.