Amaury Aubel
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 5%
- Computational Mechanics top 10%
- Computer Graphics and Computer-Aided Design top 5%
- Human-Computer Interaction top 5%
- Co-authors
- Daniël ThalmannDaniel ThalmannRonan BoulicMarcelo KallmannNadia Magnenat‐ThalmannLaurent MoccozetPrem KalraTolga Çapın
- Topics
- Human Motion and Animation (12 papers)Human Pose and Action Recognition (8 papers)3D Shape Modeling and Analysis (6 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionHuman-Computer Interaction
- Journals
- IEEE Transactions on Circuits and Systems for Video TechnologyComputer Graphics ForumIEEE Computer Graphics and Applications
- Partner nations
- SwitzerlandUnited StatesAustria
In The Last Decade
Amaury Aubel
13 papers receiving 321 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 237
- Control and Systems Engineering 209
- Computational Mechanics 84
- Computer Graphics and Computer-Aided Design 66
- Human-Computer Interaction 55
Countries citing papers authored by Amaury Aubel
This map shows the geographic impact of Amaury Aubel'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 Amaury Aubel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amaury Aubel more than expected).
Fields of papers citing papers by Amaury Aubel
This network shows the impact of papers produced by Amaury Aubel. 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 Amaury Aubel. The network helps show where Amaury Aubel may publish in the future.
Co-authorship network of co-authors of Amaury Aubel
This figure shows the co-authorship network connecting the top 25 collaborators of Amaury Aubel. A scholar is included among the top collaborators of Amaury Aubel 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 Amaury Aubel. Amaury Aubel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 31 | |
| 5 | 5 | |
| 6 | 8 | |
| 7 | 57 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 9 | |
| 11 | 39 | |
| 12 | 57 | |
| 13 | Lowering the cost of virtual human rendering with structured animated impostors | 12 |
| 14 | 74 | |
| 15 | 83 |
About Amaury Aubel
Amaury Aubel is a scholar working on Computer Graphics and Computer-Aided Design, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 388 indexed citations. Recurring topics across this work include Human Motion and Animation (12 papers), Human Pose and Action Recognition (8 papers) and 3D Shape Modeling and Analysis (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (66 citations), Computer Vision and Pattern Recognition (237 citations) and Human-Computer Interaction (55 citations). Amaury Aubel has collaborated with scholars based in Switzerland, United States and Austria. Frequent co-authors include Daniël Thalmann, Daniel Thalmann, Ronan Boulic, Marcelo Kallmann, Nadia Magnenat‐Thalmann, Laurent Moccozet, Prem Kalra, Tolga Çapın, Tom Molet and Igor Pandžić. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Computer Graphics Forum and IEEE Computer Graphics and Applications.
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.