Luc Van Gool

169.2k citations
923 papers · 78.2k indexed · 47 hit papers · h-index 114

Luc Van Gool

887 papers receiving 74.9k citations

Hit Papers

VRT: ...761999202620082017100200300

Peers

Luc Van Gool
Comparison fields: 5 of 223
  • Computer Vision and Pattern Recognition 62.3k
  • Media Technology 9.9k
  • Geology 4.7k
  • Computer Graphics and Computer-Aided Design 2.2k
  • Aerospace Engineering 14.7k
Replace Andrew Zisserman with:
Andrew Zisserman United Kingdom
Jitendra Malik United States
David Lowe United Kingdom
Ross Girshick United States
Xiangyu Zhang China
Shaoqing Ren China
Kaiming He China
Trevor Darrell United States
Luc Van Gool relative to Andrew Zisserman United Kingdom Andrew Zisserman's profile →
Citations per field
00.5×2.7×
Andrew Zisserman · 1×
Citations per year

Countries citing papers authored by Luc Van Gool

Since Specialization
Citations

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

Fields of papers citing papers by Luc Van Gool

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luc Van Gool. 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 Luc Van Gool. The network helps show where Luc Van Gool may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Luc Van Gool, 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 Luc Van Gool Line = papers co-authored together Luc Van Gool links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20244
2 20240
3 20232
4 202214
5 202173
6 201995
7 201921
8 201760
9 2017193
10 201731
11 201699
12
DEX: Deep EXpectation of Apparent Age from a Single Imagebreakdown →
2015402
13
Weighted collaborative representation and classification of images
201220
14 201085
15
You'll never walk alone: Modeling social behavior for multi-target trackingbreakdown →
2009979
16
MeshLab and Arc3D : photo-reconstruction and processing 3D meshes
20084
17
Procedural modeling of buildingsbreakdown →
2006665
18
A real-time optical head tracker based on 3D prediction and correction
20061
19 200455
20 199510

About Luc Van Gool

Luc Van Gool is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Geology, Media Technology and Aerospace Engineering, having authored 923 papers that have together received 78.2k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (284 papers), Advanced Image and Video Retrieval Techniques (212 papers), Robotics and Sensor-Based Localization (176 papers), Video Surveillance and Tracking Methods (131 papers), Advanced Image Processing Techniques (95 papers), 3D Surveying and Cultural Heritage (95 papers), Advanced Neural Network Applications (92 papers) and Human Pose and Action Recognition (91 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (62.3k citations), Media Technology (9.9k citations), Geology (4.7k citations), Computer Graphics and Computer-Aided Design (2.2k citations) and Aerospace Engineering (14.7k citations). Luc Van Gool has collaborated with scholars based in Switzerland, Belgium and Germany. Frequent co-authors include Andrew Zisserman, Tinne Tuytelaars, Christopher K. I. Williams, Mark Everingham, John Winn, Andreas Ess, Herbert Bay, Radu Timofte, Dengxin Dai and Bastian Leibe. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, Computer Vision and Image Understanding, IEEE Robotics and Automation Letters and IEEE Transactions on Circuits and Systems for Video Technology.

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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