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Researcher · École Polytechnique Fédérale de Lausanne · Switzerland

Pascal Fua

Pascal Fua publishes mostly in Computer Vision and Pattern Recognition, Computational Mechanics and Aerospace Engineering, on topics such as Advanced Vision and Imaging, Robotics and Sensor-Based Localization and Human Pose and Action Recognition.

ORCID 0000-0002-6702-9970 OpenAlex
World rank
#12,507
of 7,710,434 ranked researchers
Rank in Switzerland
#212
of 80,918
Works
761
Citations
58k
Citations per work
76.8
h-index
100
i10-index 405Top 0.1% in Computer Vision and Pattern Recognition
Pascal Fua

What does Pascal Fua research?

Pascal Fua's work is mostly in Computer Science (59%), Engineering (18%).

Physical Sciences: 586 works · 77.0% of their workComputer Science: 446 works · 58.6% of their workComputer Vision and Pattern Recognition: 355 works · 46.6% of their workArtificial Intelligence: 53 works · 7.0% of their workComputer Graphics and Computer-Aided Design: 38 works · 5.0% of their workEngineering: 140 works · 18.4% of their workComputational Mechanics: 62 works · 8.1% of their workAerospace Engineering: 56 works · 7.3% of their workControl and Systems Engineering: 23 works · 3.0% of their workEverything else: 175 works · 23.0% of their workTHEIR WORKPascal Fua761works
Physical Sciences77%

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 Science44658.6%
    2. Engineering14018.4%
  2. Everything else17523.0%
  1. 1Computer Vision and Pattern Recognition47% of their works
  2. 2Computational Mechanics8% of their works
  3. 3Aerospace Engineering7% of their works
  4. 4Artificial Intelligence7% of their works
  5. 5Computer Graphics and Computer-Aided Design5% of their works
  6. 6Control and Systems Engineering3% of their works

Research topics

Which keywords describe Pascal Fua's research?

The keywords of their largest research topics: Deep Learning, Convolutional Networks, Depth Estimation, Stereo Vision, 3D Mapping, SLAM, Action Recognition and Pose Estimation.

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 18 words, with their numbers
  1. Deep Learning5845 topics
  2. Convolutional Networks3812 topics
  3. Depth Estimation2421 topic
  4. Stereo Vision2421 topic
  5. 3D Mapping1491 topic
  6. SLAM1491 topic
  7. Action Recognition1391 topic
  8. Pose Estimation1391 topic
  9. 3D Reconstruction1351 topic
  10. Point Clouds1351 topic
  11. Object Tracking1221 topic
  12. Visual Tracking1221 topic
  13. Feature Matching1141 topic
  14. Local Descriptors1141 topic
  15. Computer Graphics1021 topic
  16. Visualization1021 topic
  17. Image Segmentation741 topic
  18. Medical Image Analysis741 topic

Where does Pascal Fua work?

Pascal Fua's main affiliation in the publication record is École Polytechnique Fédérale de Lausanne, Switzerland.

How many publications and citations does Pascal Fua have?

OpenAlex counts 761 works and 58,462 citations for Pascal Fua, an h-index of 100, ranking #12,507 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.

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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