Gaël Guennebaud
- Computational Mechanics top 2%
- Computer Graphics and Computer-Aided Design top 0.5%
- Computer Vision and Pattern Recognition top 2%
- Geology top 2%
- Environmental Engineering top 10%
- Co-authors
- Markus GroßLoïc BartheBrian WyvillMarie‐Paule CaniPascal BarlaMathias PaulinXavier GranierAurélie Bugeau
- Topics
- Advanced Numerical Analysis Techniques (8 papers)Computer Graphics and Visualization Techniques (8 papers)Advanced Vision and Imaging (5 papers)
- Partner nations
- FranceSwitzerlandCanada
In The Last Decade
Gaël Guennebaud
14 papers receiving 865 citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Computational Mechanics 562
- Computer Graphics and Computer-Aided Design 417
- Computer Vision and Pattern Recognition 393
- Geology 179
- Environmental Engineering 98
Countries citing papers authored by Gaël Guennebaud
This map shows the geographic impact of Gaël Guennebaud'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 Gaël Guennebaud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaël Guennebaud more than expected).
Fields of papers citing papers by Gaël Guennebaud
This network shows the impact of papers produced by Gaël Guennebaud. 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 Gaël Guennebaud. The network helps show where Gaël Guennebaud may publish in the future.
Co-authorship network of co-authors of Gaël Guennebaud
This figure shows the co-authorship network connecting the top 25 collaborators of Gaël Guennebaud. A scholar is included among the top collaborators of Gaël Guennebaud 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 Gaël Guennebaud. Gaël Guennebaud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | Robust iso-surface tracking for interactive character skinningbreakdown → | 196 |
| 8 | 6 | |
| 9 | 24 | |
| 10 | 24 | |
| 11 | 317 | |
| 12 | 261 | |
| 13 | 18 | |
| 14 | 18 | |
| 15 | 6 | |
| 16 | 13 |
About Gaël Guennebaud
Gaël Guennebaud is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 897 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (8 papers), Computer Graphics and Visualization Techniques (8 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (417 citations), Geology (179 citations) and Computational Mechanics (562 citations). Gaël Guennebaud has collaborated with scholars based in France, Switzerland and Canada. Frequent co-authors include Markus Groß, Loïc Barthe, Brian Wyvill, Marie‐Paule Cani, Pascal Barla, Mathias Paulin, Xavier Granier, Aurélie Bugeau, Pierre Bénard and Anne‐Laure Ligozat. Their work appears in journals such as ACM Transactions on Graphics, Journal of Industrial Ecology and Computer Graphics Forum.
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.