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Researcher · ETH Zurich · Switzerland

Luc Van Gool

Luc Van Gool publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design, on topics such as Computer Graphics and Visualization Techniques, Image Processing and 3D Reconstruction and Video Surveillance and Tracking Methods.

ORCID 0000-0002-3445-5711 OpenAlex
World rank
#3,957,742
of 7,710,434 ranked researchers
Rank in Switzerland
#55,199
of 80,918
Works
45
Citations
232
Citations per work
5.2
h-index
6
i10-index 5Top 78% in Computer Vision and Pattern Recognition
Luc Van Gool

What does Luc Van Gool research?

Luc Van Gool's work is mostly in Computer Science (63%), Engineering (4%), Physics and Astronomy (3%).

Physical Sciences: 31 works · 69.8% of their workComputer Science: 28 works · 63.2% of their workComputer Vision and Pattern Recognition: 20 works · 45.3% of their workArtificial Intelligence: 6 works · 13.2% of their workComputer Graphics and Computer-Aided Design: 2 works · 4.7% of their workEngineering: 2 works · 3.8% of their workAerospace Engineering: 2 works · 3.8% of their workPhysics and Astronomy: 1 works · 2.8% of their workAtomic and Molecular Physics, and Optics: 1 works · 2.8% of their workEverything else: 13 works · 28.3% of their workLife Sciences: 1 works · 1.9% of their workNeuroscience: 1 works · 1.9% of their workCognitive Neuroscience: 1 works · 1.9% of their workTHEIR WORKLuc Van Gool45works
Life Sciences2%Physical Sciences70%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science2863.2%
    2. Engineering23.8%
    3. Physics and Astronomy12.8%
  2. Everything else1328.3%
    1. Neuroscience11.9%
  1. 1Computer Vision and Pattern Recognition45% of their works
  2. 2Artificial Intelligence13% of their works
  3. 3Computer Graphics and Computer-Aided Design5% of their works
  4. 4Aerospace Engineering4% of their works
  5. 5Atomic and Molecular Physics, and Optics3% of their works
  6. 6Cognitive Neuroscience2% of their works

Research topics

Which keywords describe Luc Van Gool's research?

The keywords of their largest research topics: Deep Learning, Convolutional Networks, Computer Graphics, Content-Based Image Retrieval, Fragmented Objects, Object Tracking, Reconstruction and Shape Matching.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 18 words, with their numbers
  1. Deep Learning174 topics
  2. Convolutional Networks82 topics
  3. Computer Graphics51 topic
  4. Content-Based Image Retrieval51 topic
  5. Fragmented Objects51 topic
  6. Object Tracking51 topic
  7. Reconstruction51 topic
  8. Shape Matching51 topic
  9. Visual Tracking51 topic
  10. Visualization51 topic
  11. Action Recognition41 topic
  12. Depth Estimation41 topic
  13. Feature Matching41 topic
  14. Image Captioning41 topic
  15. Local Descriptors41 topic
  16. Pose Estimation41 topic
  17. Stereo Vision41 topic
  18. Visual Question Answering41 topic

Where does Luc Van Gool work?

Luc Van Gool's main affiliation in the publication record is ETH Zurich, Switzerland.

How many publications and citations does Luc Van Gool have?

OpenAlex counts 45 works and 232 citations for Luc Van Gool, an h-index of 6, ranking #3,957,742 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Other researchers named Luc Van Gool

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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