Tamy Boubekeur

3.8k citations
107 papers · 2.6k indexed · 1 hit paper · h-index 24

Tamy Boubekeur

104 papers receiving 2.5k citations

Hit Papers

Sketch-Based Image Retrieval: Benchmark and Bag-of-Featur...295201020262015202050100150200250

Peers

Tamy Boubekeur
Comparison fields: 5 of 119
  • Computer Graphics and Computer-Aided Design 924
  • Computer Vision and Pattern Recognition 1.6k
  • Computational Mechanics 1.0k
  • Geology 262
  • Human-Computer Interaction 110
Replace Kalyan Sunkavalli with:
Kalyan Sunkavalli United States
Bernhard Kerbl Austria
Georgios Kopanas France
Chunxia Xiao China
Thomas Leimkühler Germany
Tao Yu China
Patrick Min United States
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Chris Buehler United States
Tamy Boubekeur relative to Kalyan Sunkavalli United States Kalyan Sunkavalli's profile →
Citations per field
00.5×2.7×
Kalyan Sunkavalli · 1×
Citations per year

Countries citing papers authored by Tamy Boubekeur

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Tamy Boubekeur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tamy Boubekeur Line = papers co-authored together Tamy Boubekeur links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202413
3 20236
4 20231
5 20237
6 20203
7 20201
8
Bayesian Collaborative Denoising for Monte Carlo Rendering
20171
9 201611
10
LazyNav: 3D Ground Navigation with Non-Critical Body Parts
20151
11 20131
12 201114
13 20112
14 20111
15 2009300
16 20096
17 2008128
18 20082
19 20055
20
Point Set Surfaces with Sharp Features
20053

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), Advanced Vision and Imaging (31 papers), Computational Geometry and Mesh Generation (23 papers), Advanced Numerical Analysis Techniques (23 papers), Advanced Image and Video Retrieval Techniques (9 papers), Image Retrieval and Classification Techniques (9 papers) and Robotics and Sensor-Based Localization (9 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.

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