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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 Aerospace Engineering, on topics such as Advanced Vision and Imaging, Advanced Image and Video Retrieval Techniques and Robotics and Sensor-Based Localization.

ORCID 0000-0002-3445-5711 OpenAlex
World rank
#6,822
of 7,710,434 ranked researchers
Rank in Switzerland
#83
of 80,918
Works
1,915
Citations
177k
Citations per work
92.4
h-index
171
i10-index 924Top 0.1% 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 (64%), Engineering (12%), Earth and Planetary Sciences (3%).

Physical Sciences: 1,498 works · 78.2% of their workComputer Science: 1,220 works · 63.7% of their workComputer Vision and Pattern Recognition: 1,063 works · 55.5% of their workArtificial Intelligence: 157 works · 8.2% of their workEngineering: 224 works · 11.7% of their workAerospace Engineering: 109 works · 5.7% of their workMedia Technology: 65 works · 3.4% of their workComputational Mechanics: 50 works · 2.6% of their workEarth and Planetary Sciences: 54 works · 2.8% of their workGeology: 54 works · 2.8% of their workEverything else: 417 works · 21.8% of their workTHEIR WORKLuc Van Gool1,915works
Physical Sciences78%

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 Science1,22063.7%
    2. Engineering22411.7%
    3. Earth and Planetary Sciences542.8%
  2. Everything else41721.8%
  1. 1Computer Vision and Pattern Recognition56% of their works
  2. 2Artificial Intelligence8% of their works
  3. 3Aerospace Engineering6% of their works
  4. 4Media Technology3% of their works
  5. 5Geology3% of their works
  6. 6Computational Mechanics3% of their works

Research topics

Which keywords describe Luc Van Gool's research?

The keywords of their largest research topics: Deep Learning, Convolutional Networks, Convolutional Neural Networks, Depth Estimation, Stereo Vision, Neural Networks, Feature Matching and Local Descriptors.

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.

All 20 words, with their numbers
  1. Deep Learning1,4906 topics
  2. Convolutional Networks9403 topics
  3. Convolutional Neural Networks5062 topics
  4. Depth Estimation5031 topic
  5. Stereo Vision5031 topic
  6. Neural Networks4132 topics
  7. Feature Matching3631 topic
  8. Local Descriptors3631 topic
  9. 3D Mapping2731 topic
  10. SLAM2731 topic
  11. Image Recognition2631 topic
  12. Object Detection2631 topic
  13. Object Tracking2431 topic
  14. Visual Tracking2431 topic
  15. Image2291 topic
  16. Super-Resolution2291 topic
  17. Action Recognition2081 topic
  18. Pose Estimation2081 topic
  19. Image Captioning1841 topic
  20. Visual Question Answering1841 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 1,915 works and 177,019 citations for Luc Van Gool, an h-index of 171, ranking #6,822 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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