Fabien Dekeyser

775 total citations
10 papers, 245 citations indexed

About

Fabien Dekeyser is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology. According to data from OpenAlex, Fabien Dekeyser has authored 10 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Aerospace Engineering and 4 papers in Geology. Recurrent topics in Fabien Dekeyser's work include Advanced Vision and Imaging (8 papers), Robotics and Sensor-Based Localization (5 papers) and 3D Surveying and Cultural Heritage (4 papers). Fabien Dekeyser is often cited by papers focused on Advanced Vision and Imaging (8 papers), Robotics and Sensor-Based Localization (5 papers) and 3D Surveying and Cultural Heritage (4 papers). Fabien Dekeyser collaborates with scholars based in France, United States and Germany. Fabien Dekeyser's co-authors include Michel Dhome, Patrick Sayd, Maxime Lhuillier, Eric Royer, Patrick Bouthémy, Patrick Pérez, Michel Florenzano, F. Gaspard, Xianyu Chen and Patrick Pérez and has published in prestigious journals such as Image and Vision Computing, 2009 IEEE Conference on Computer Vision and Pattern Recognition and HAL (Le Centre pour la Communication Scientifique Directe).

In The Last Decade

Fabien Dekeyser

9 papers receiving 230 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fabien Dekeyser France 5 199 177 58 33 30 10 245
Federico Camposeco Switzerland 7 217 1.1× 194 1.1× 83 1.4× 19 0.6× 42 1.4× 7 277
Horst Wildenauer Austria 14 348 1.7× 197 1.1× 68 1.2× 42 1.3× 29 1.0× 21 395
Tommaso Cavallari United Kingdom 8 203 1.0× 189 1.1× 74 1.3× 21 0.6× 22 0.7× 12 258
Sid Yingze Bao United States 7 285 1.4× 214 1.2× 86 1.5× 35 1.1× 25 0.8× 9 330
Pyojin Kim South Korea 12 201 1.0× 248 1.4× 121 2.1× 22 0.7× 47 1.6× 31 294
Yafei Hu United States 4 212 1.1× 160 0.9× 50 0.9× 15 0.5× 12 0.4× 5 250
Anna Vorontsova United States 4 153 0.8× 97 0.5× 43 0.7× 31 0.9× 21 0.7× 8 209
J. Krishna Murthy India 6 183 0.9× 181 1.0× 39 0.7× 35 1.1× 14 0.5× 6 238
C. Mei United Kingdom 6 284 1.4× 284 1.6× 55 0.9× 24 0.7× 46 1.5× 9 340
Sixing Hu Singapore 4 291 1.5× 237 1.3× 42 0.7× 28 0.8× 28 0.9× 5 357

Countries citing papers authored by Fabien Dekeyser

Since Specialization
Citations

This map shows the geographic impact of Fabien Dekeyser'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 Fabien Dekeyser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabien Dekeyser more than expected).

Fields of papers citing papers by Fabien Dekeyser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabien Dekeyser. 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 Fabien Dekeyser. The network helps show where Fabien Dekeyser may publish in the future.

Co-authorship network of co-authors of Fabien Dekeyser

This figure shows the co-authorship network connecting the top 25 collaborators of Fabien Dekeyser. A scholar is included among the top collaborators of Fabien Dekeyser 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 Fabien Dekeyser. Fabien Dekeyser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Dekeyser, Fabien, et al.. (2009). TOWARD LARGE SCALE MODEL CONSTRUCTION FOR VISION-BASED GLOBAL LOCALISATION. 429–434. 1 indexed citations
2.
Dekeyser, Fabien, et al.. (2009). Towards geographical referencing of monocular SLAM reconstruction using 3D city models: Application to real-time accurate vision-based localization. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 39 indexed citations
3.
Lhuillier, Maxime, et al.. (2008). Generic and real-time structure from motion using local bundle adjustment. Image and Vision Computing. 27(8). 1178–1193. 139 indexed citations
4.
Dekeyser, Fabien, et al.. (2007). Optical measurement system for the quality control of aeronautic parts: 3D measurement of circular holes and curved edges. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6356. 635618–635618. 1 indexed citations
5.
Lhuillier, Maxime, et al.. (2006). Monocular Vision Based SLAM for Mobile Robots. 1027–1031. 33 indexed citations
6.
Dekeyser, Fabien, et al.. (2003). Cultural heritage recording with laser Scanning, computer vision and exploitation of Architectural rules. HAL (Le Centre pour la Communication Scientifique Directe). 1–4. 12 indexed citations
7.
Dekeyser, Fabien, et al.. (2003). Relevé du patrimoine architectural par relevé laser, vision par ordinateur, et exploitation des règles architecturales. HAL (Le Centre pour la Communication Scientifique Directe). 1–6.
8.
Dekeyser, Fabien, Patrick Bouthémy, & Patrick Pérez. (2002). Spatio-temporal Wiener filtering of image sequences using a parametric motion model. 1. 208–211. 13 indexed citations
9.
Dekeyser, Fabien, et al.. (2002). Super-resolution from noisy image sequences exploiting a 2D parametric motion model. 3. 350–353. 4 indexed citations
10.
Dekeyser, Fabien, Patrick Pérez, & Patrick Bouthémy. (2000). Restoration of Noisy, Blurred, Undersampled Image Sequences Using a Parametric Motion Model. 3 indexed citations

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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