Vincent Rabaud

14.0k total citations · 3 hit papers
12 papers, 9.3k citations indexed

About

Vincent Rabaud is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Vincent Rabaud has authored 12 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 5 papers in Aerospace Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Vincent Rabaud's work include Advanced Vision and Imaging (5 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Robotics and Sensor-Based Localization (5 papers). Vincent Rabaud is often cited by papers focused on Advanced Vision and Imaging (5 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Robotics and Sensor-Based Localization (5 papers). Vincent Rabaud collaborates with scholars based in United States, Switzerland and United Kingdom. Vincent Rabaud's co-authors include Kurt Konolige, Gary Bradski, Serge Belongie, Piotr Dollár, Garrison W. Cottrell, Margarita Chli, Roland Siegwart, Stefan Leutenegger and Paul Furgale and has published in prestigious journals such as 2009 IEEE Conference on Computer Vision and Pattern Recognition, Edinburgh Research Explorer and Repository for Publications and Research Data (ETH Zurich).

In The Last Decade

Vincent Rabaud

12 papers receiving 8.9k citations

Hit Papers

ORB: An efficient alternative to SIFT or SURF 2006 2026 2012 2019 2011 2006 2013 2.0k 4.0k 6.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vincent Rabaud United States 9 7.9k 4.6k 1.2k 865 803 12 9.3k
Andreas Ess Switzerland 13 9.6k 1.2× 4.4k 0.9× 1.4k 1.1× 643 0.7× 715 0.9× 19 11.7k
Bastian Leibe Germany 52 10.5k 1.3× 3.2k 0.7× 2.1k 1.7× 664 0.8× 729 0.9× 157 12.2k
Kostas Daniilidis United States 50 6.6k 0.8× 3.6k 0.8× 819 0.7× 650 0.8× 1.4k 1.7× 216 9.3k
Herbert Bay Switzerland 6 7.6k 1.0× 4.1k 0.9× 642 0.5× 632 0.7× 593 0.7× 7 9.4k
Vincent Lepetit Switzerland 47 9.8k 1.3× 6.3k 1.4× 857 0.7× 1.2k 1.4× 642 0.8× 151 11.9k
Larry Matthies United States 48 5.6k 0.7× 5.3k 1.1× 731 0.6× 476 0.6× 722 0.9× 216 8.4k
Chris Harris United States 10 7.3k 0.9× 4.0k 0.9× 487 0.4× 573 0.7× 511 0.6× 25 8.9k
Tomáš Pajdla Czechia 40 8.5k 1.1× 4.9k 1.1× 685 0.6× 941 1.1× 595 0.7× 158 10.1k
Hongdong Li Australia 49 7.3k 0.9× 2.8k 0.6× 872 0.7× 922 1.1× 352 0.4× 228 9.2k
Hujun Bao China 55 7.6k 1.0× 2.6k 0.6× 718 0.6× 861 1.0× 485 0.6× 381 11.6k

Countries citing papers authored by Vincent Rabaud

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Rabaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Rabaud

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

All Works

12 of 12 papers shown
1.
Leutenegger, Stefan, Paul Furgale, Vincent Rabaud, et al.. (2013). Keyframe-based Visual-Inertial SLAM using Nonlinear Optimization. Repository for Publications and Research Data (ETH Zurich). 9. 125 indexed citations
2.
Rabaud, Vincent, et al.. (2013). Pose estimation of rigid transparent objects in transparent clutter. 162–169. 32 indexed citations
3.
Rabaud, Vincent. (2013). Object Recognition Kitchen. 2 indexed citations
4.
Leutenegger, Stefan, Paul Furgale, Vincent Rabaud, et al.. (2013). Keyframe-Based Visual-Inertial SLAM using Nonlinear Optimization. Edinburgh Research Explorer. 307 indexed citations breakdown →
5.
Rabaud, Vincent, et al.. (2011). ORB: An efficient alternative to SIFT or SURF. 2564–2571. 6695 indexed citations breakdown →
6.
Rabaud, Vincent & Serge Belongie. (2009). Linear embeddings in non-rigid structure from motion. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 1. 2427–2434. 18 indexed citations
7.
Rabaud, Vincent & Serge Belongie. (2008). Re-thinking non-rigid structure from motion. Zenodo (CERN European Organization for Nuclear Research). 290. 1–8. 38 indexed citations
8.
Rabaud, Vincent, et al.. (2007). Soylent Grid: it's Made of People. 14. 1–7. 5 indexed citations
9.
Dollár, Piotr, Vincent Rabaud, & Serge Belongie. (2007). Non-isometric manifold learning. 241–248. 39 indexed citations
10.
Rabaud, Vincent & Serge Belongie. (2006). Counting Crowded Moving Objects. 1. 705–711. 294 indexed citations
11.
Rabaud, Vincent & Serge Belongie. (2006). Big Little Icons. 3. 24–24. 6 indexed citations
12.
Dollár, Piotr, Vincent Rabaud, Garrison W. Cottrell, & Serge Belongie. (2006). Behavior Recognition via Sparse Spatio-Temporal Features. 65–72. 1705 indexed citations breakdown →

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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