Pierre Baqué
Impact in
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- Antioxidant Activity and Oxidative Stress
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- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Advanced Vision and Imaging
Papers in
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- Advanced Numerical Analysis Techniques 2
- 3D Shape Modeling and Analysis 2
- Computational Fluid Dynamics and Aerodynamics 1
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- Domain Adaptation and Few-Shot Learning 2
- Gaussian Processes and Bayesian Inference 2
- Bayesian Methods and Mixture Models 1
- Co-authors
- Pascal Fua (6 shared papers)François Fleuret (3 shared papers)Timur Bagautdinov (3 shared papers)Cijo Jose (1 shared paper)Luc Van Gool (1 shared paper)Andrii Maksai (1 shared paper)Tatjana Chavdarova (1 shared paper)Maria Stacewicz‐Sapuntzakis (1 shared paper)
- Journals
- International Journal of Cancer (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Computers & Fluids (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (4 papers)ASME Journal of Heat and Mass Transfer (1 paper)
- Partner nations
- SwitzerlandUnited StatesNew Caledonia
In The Last Decade
Pierre Baqué
8 papers receiving 225 citations
Peers
Comparison fields: 5 of 74
- Biochemistry 39
- Computer Vision and Pattern Recognition 124
- Computer Graphics and Computer-Aided Design 8
- Automotive Engineering 25
- Artificial Intelligence 52
Countries citing papers authored by Pierre Baqué
This map shows the geographic impact of Pierre Baqué'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 Pierre Baqué with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Baqué more than expected).
Fields of papers citing papers by Pierre Baqué
This network shows the impact of papers produced by Pierre Baqué. 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 Pierre Baqué. The network helps show where Pierre Baqué may publish in the future.
Co-authors
The 23 scholars most cited alongside Pierre Baqué, 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 | 2018 | 139 | |
| 2 | 1995 | 59 | |
| 3 | 2022 | 12 | |
| 4 | 2016 | 9 | |
| 5 | Kullback-Leibler proximal variational inference | 2015 | 8 |
| 6 | 2022 | 6 | |
| 7 | 2024 | 4 | |
| 8 | 2023 | 2 |
About Pierre Baqué
Pierre Baqué is a scholar working on Computational Mechanics, Artificial Intelligence, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 8 papers that have together received 239 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (2 papers), Gaussian Processes and Bayesian Inference (2 papers), Computer Graphics and Visualization Techniques (2 papers), Advanced Numerical Analysis Techniques (2 papers), 3D Shape Modeling and Analysis (2 papers), Bayesian Methods and Mixture Models (1 paper), Advanced Neural Network Applications (1 paper) and Computational Fluid Dynamics and Aerodynamics (1 paper). The work is most often cited by research in Biochemistry (39 citations), Computer Vision and Pattern Recognition (124 citations), Computer Graphics and Computer-Aided Design (8 citations), Automotive Engineering (25 citations) and Artificial Intelligence (52 citations). Pierre Baqué has collaborated with scholars based in Switzerland, United States and New Caledonia. Frequent co-authors include Pascal Fua, François Fleuret, Timur Bagautdinov, Cijo Jose, Luc Van Gool, Andrii Maksai, Tatjana Chavdarova, Maria Stacewicz‐Sapuntzakis, Phyllis E. Bowen and Gary R. Beecher. Their work appears in journals such as International Journal of Cancer, IEEE Transactions on Pattern Analysis and Machine Intelligence, Computers & Fluids, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and ASME Journal of Heat and Mass Transfer.
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.