Tamy Boubekeur
- Computer Vision and Pattern Recognition top 0.5%
- Computational Mechanics top 1%
- Computer Graphics and Computer-Aided Design top 0.2%
- Aerospace Engineering top 5%
- Geology top 2%
- Co-authors
- Marc AlexaKristian HildebrandMathias EitzWolfgang HeidrichDerek BradleyJean‐Marc ThieryChristophe SchlickR. A. Richter
- Topics
- Computer Graphics and Visualization Techniques (76 papers)3D Shape Modeling and Analysis (66 papers)Advanced Vision and Imaging (31 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Tamy Boubekeur
104 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Computer Vision and Pattern Recognition 1.6k
- Computational Mechanics 1.0k
- Computer Graphics and Computer-Aided Design 924
- Aerospace Engineering 269
- Geology 262
Countries citing papers authored by Tamy Boubekeur
This map shows the geographic impact of Tamy Boubekeur'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 Tamy Boubekeur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamy Boubekeur more than expected).
Fields of papers citing papers by Tamy Boubekeur
This network shows the impact of papers produced by Tamy Boubekeur. 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 Tamy Boubekeur. The network helps show where Tamy Boubekeur may publish in the future.
Co-authorship network of co-authors of Tamy Boubekeur
This figure shows the co-authorship network connecting the top 25 collaborators of Tamy Boubekeur. A scholar is included among the top collaborators of Tamy Boubekeur 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 Tamy Boubekeur. Tamy Boubekeur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 13 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | Bayesian Collaborative Denoising for Monte Carlo Rendering | 1 |
| 9 | 11 | |
| 10 | LazyNav: 3D Ground Navigation with Non-Critical Body Parts | 1 |
| 11 | 1 | |
| 12 | 14 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 300 | |
| 16 | 6 | |
| 17 | 128 | |
| 18 | 2 | |
| 19 | 5 | |
| 20 | Point Set Surfaces with Sharp Features | 3 |
About Tamy Boubekeur
Tamy Boubekeur is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 107 papers that have together received 2.6k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (76 papers), 3D Shape Modeling and Analysis (66 papers) and Advanced Vision and Imaging (31 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (924 citations), Computer Vision and Pattern Recognition (1.6k citations) and Computational Mechanics (1.0k citations). Tamy Boubekeur has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Marc Alexa, Kristian Hildebrand, Mathias Eitz, Wolfgang Heidrich, Derek Bradley, Jean‐Marc Thiery, Christophe Schlick, R. A. Richter, Alla Sheffer and Tiberiu Popa. Their work appears in journals such as The Plant Cell, IEEE Transactions on Biomedical Engineering and ACM Transactions on Graphics.
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.