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Researcher · KU Leuven · Belgium

Luc Van Gool

Luc Van Gool publishes mostly in Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology, on topics such as Advanced Image and Video Retrieval Techniques, Robotics and Sensor-Based Localization and Advanced Vision and Imaging.

OpenAlex
World rank
#956,467
of 7,710,434 ranked researchers
Rank in Belgium
#8,738
of 67,186
Works
17
Citations
1k
Citations per work
60.9
h-index
10
i10-index 10Top 45% 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 (69%), Engineering (24%), Neuroscience (2%).

Physical Sciences: 16 works · 92.2% of their workComputer Science: 12 works · 68.7% of their workComputer Vision and Pattern Recognition: 11 works · 66.7% of their workComputer Graphics and Computer-Aided Design: 0 works · 2.0% of their workEngineering: 4 works · 23.5% of their workAerospace Engineering: 3 works · 17.6% of their workMedia Technology: 1 works · 3.9% of their workBiomedical Engineering: 0 works · 2.0% of their workEverything else: 1 works · 5.8% of their workLife Sciences: 0 works · 2.0% of their workNeuroscience: 0 works · 2.0% of their workCognitive Neuroscience: 0 works · 2.0% of their workTHEIR WORKLuc Van Gool17works
Life Sciences2%Physical Sciences92%

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 Science1268.7%
    2. Engineering423.5%
  2. Everything else15.8%
    1. Neuroscience02.0%
  1. 1Computer Vision and Pattern Recognition67% of their works
  2. 2Aerospace Engineering18% of their works
  3. 3Media Technology4% of their works
  4. 4Cognitive Neuroscience2% of their works
  5. 5Computer Graphics and Computer-Aided Design2% of their works
  6. 6Biomedical Engineering2% of their works

Research topics

Which keywords describe Luc Van Gool's research?

The keywords of their largest research topics: Deep Learning, 3D Mapping, Depth Estimation, Feature Matching, Local Descriptors, SLAM, Optical Flow and Stereo Vision.

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 19 words, with their numbers
  1. Deep Learning112 topics
  2. 3D Mapping91 topic
  3. Depth Estimation92 topics
  4. Feature Matching91 topic
  5. Local Descriptors91 topic
  6. SLAM91 topic
  7. Optical Flow71 topic
  8. Stereo Vision71 topic
  9. Computer Vision52 topics
  10. Hough Transform31 topic
  11. Line Detection31 topic
  12. Autofocusing21 topic
  13. Camera Calibration21 topic
  14. Convolutional Neural Networks21 topic
  15. Fragmented Objects21 topic
  16. Image Recognition21 topic
  17. Microscopy21 topic
  18. Reconstruction21 topic
  19. Structured Light21 topic

Where does Luc Van Gool work?

Luc Van Gool's main affiliation in the publication record is KU Leuven, Belgium.

How many publications and citations does Luc Van Gool have?

OpenAlex counts 17 works and 1,035 citations for Luc Van Gool, an h-index of 10, ranking #956,467 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

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