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Researcher · ETH Zurich · Switzerland

Torsten Sattler

Torsten Sattler publishes mostly in Computer Vision and Pattern Recognition, Aerospace Engineering and Geology, on topics such as Robotics and Sensor-Based Localization, 3D Surveying and Cultural Heritage and Advanced Vision and Imaging.

ORCID 0000-0001-9760-4553 OpenAlex
World rank
#98,384
of 7,710,434 ranked researchers
Rank in Switzerland
#2,084
of 80,918
Works
293
Citations
14k
Citations per work
47.3
h-index
50
i10-index 96Top 1.2% in Computer Vision and Pattern Recognition
Torsten Sattler

What does Torsten Sattler research?

Torsten Sattler's work is mostly in Computer Science (45%), Engineering (29%), Earth and Planetary Sciences (13%).

Physical Sciences: 256 works · 87.4% of their workComputer Science: 132 works · 45.2% of their workComputer Vision and Pattern Recognition: 132 works · 45.2% of their workEngineering: 84 works · 28.8% of their workAerospace Engineering: 46 works · 15.6% of their workIndustrial and Manufacturing Engineering: 28 works · 9.4% of their workControl and Systems Engineering: 11 works · 3.8% of their workEarth and Planetary Sciences: 39 works · 13.4% of their workGeology: 39 works · 13.4% of their workEverything else: 28 works · 9.6% of their workHealth Sciences: 9 works · 3.0% of their workMedicine: 9 works · 3.0% of their workRadiology, Nuclear Medicine and Imaging: 9 works · 3.0% of their workTHEIR WORKTorsten Sattler293works
Physical Sciences87%Health Sciences3%

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 Science13245.2%
    2. Engineering8428.8%
    3. Earth and Planetary Sciences3913.4%
  2. Everything else289.6%
    1. Medicine93.0%
  1. 1Computer Vision and Pattern Recognition45% of their works
  2. 2Aerospace Engineering16% of their works
  3. 3Geology13% of their works
  4. 4Industrial and Manufacturing Engineering9% of their works
  5. 5Control and Systems Engineering4% of their works
  6. 6Radiology, Nuclear Medicine and Imaging3% of their works

Research topics

Which keywords describe Torsten Sattler's research?

The keywords of their largest research topics: Deep Learning, Cultural Heritage, 3D Mapping, SLAM, Photogrammetry, UAV, Depth Estimation 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.

All 19 words, with their numbers
  1. Deep Learning2224 topics
  2. Cultural Heritage1962 topics
  3. 3D Mapping1321 topic
  4. SLAM1321 topic
  5. Photogrammetry1151 topic
  6. UAV1151 topic
  7. Depth Estimation1031 topic
  8. Stereo Vision1031 topic
  9. Feature Matching831 topic
  10. Local Descriptors831 topic
  11. Fabric Defect Detection811 topic
  12. Fragmented Objects811 topic
  13. Machine Vision811 topic
  14. Reconstruction811 topic
  15. Convolutional Neural Networks582 topics
  16. Face Recognition321 topic
  17. Facial Landmark Detection321 topic
  18. COVID-19261 topic
  19. Medical Imaging261 topic

Where does Torsten Sattler work?

Torsten Sattler's main affiliation in the publication record is ETH Zurich, Switzerland.

How many publications and citations does Torsten Sattler have?

OpenAlex counts 293 works and 13,857 citations for Torsten Sattler, an h-index of 50, ranking #98,384 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.

Discussion

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