Gary Bécigneul
Impact in
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- Advanced Graph Neural Networks
- Domain Adaptation and Few-Shot Learning
- Neural Networks and Applications
- Stochastic Gradient Optimization Techniques
Papers in
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- Morphological variations and asymmetry 3
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- 3D Shape Modeling and Analysis 3
- Co-authors
- Octavian-Eugen Ganea (2 shared papers)Aurélien Lucchi (2 shared papers)Shiqi Yang (1 shared paper)
- Journals
- International Conference on Artificial Intelligence and Statistics (2 papers)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) (1 paper)
- Partner nations
- SwitzerlandUnited StatesChina
In The Last Decade
Gary Bécigneul
5 papers receiving 20 citations
Peers
Comparison fields: 5 of 18
- Computational Mathematics 2
- Artificial Intelligence 15
- Numerical Analysis 2
- Neurology 2
- Computational Mechanics 5
Countries citing papers authored by Gary Bécigneul
This map shows the geographic impact of Gary Bécigneul'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 Gary Bécigneul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary Bécigneul more than expected).
Fields of papers citing papers by Gary Bécigneul
This network shows the impact of papers produced by Gary Bécigneul. 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 Gary Bécigneul. The network helps show where Gary Bécigneul may publish in the future.
Co-authors
The 3 scholars most cited alongside Gary Bécigneul, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 9 | |
| 2 | 2021 | 5 | |
| 3 | A Continuous-time Perspective for Modeling Acceleration in Riemannian Optimization. | 2020 | 4 |
| 4 | 2021 | 2 | |
| 5 | Momentum Improves Optimization on Riemannian Manifolds | 2021 | 1 |
About Gary Bécigneul
Gary Bécigneul is a scholar working on Geometry and Topology, Computational Mechanics, Modeling and Simulation, Signal Processing and Artificial Intelligence, having authored 5 papers that have together received 21 indexed citations. Recurring topics across this work include Morphological variations and asymmetry (3 papers), 3D Shape Modeling and Analysis (3 papers), Topological and Geometric Data Analysis (1 paper), Model Reduction and Neural Networks (1 paper), Mathematical Biology Tumor Growth (1 paper), Speech Recognition and Synthesis (1 paper), Primate Behavior and Ecology (1 paper) and Sentiment Analysis and Opinion Mining (1 paper). The work is most often cited by research in Computational Mathematics (2 citations), Artificial Intelligence (15 citations), Numerical Analysis (2 citations), Neurology (2 citations) and Computational Mechanics (5 citations). Gary Bécigneul has collaborated with scholars based in Switzerland, United States and China. Frequent co-authors include Octavian-Eugen Ganea, Aurélien Lucchi and Shiqi Yang. Their work appears in journals such as International Conference on Artificial Intelligence and Statistics, Proceedings of the AAAI Conference on Artificial Intelligence and AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)).
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.