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Researcher · Graz University of Technology · Austria

Thomas Pock

Thomas Pock publishes mostly in Computer Vision and Pattern Recognition, Computational Mechanics and Radiology, Nuclear Medicine and Imaging, on topics such as Advanced Vision and Imaging, Medical Image Segmentation Techniques and Sparse and Compressive Sensing Techniques.

ORCID 0000-0001-6120-1058 OpenAlex
World rank
#56,576
of 7,710,434 ranked researchers
Rank in Austria
#576
of 43,330
Works
302
Citations
24k
Citations per work
80.9
h-index
59
i10-index 140Top 0.7% in Computer Vision and Pattern Recognition
Thomas Pock

What does Thomas Pock research?

Thomas Pock's work is mostly in Computer Science (46%), Engineering (13%), Medicine (9%).

Physical Sciences: 177 works · 58.6% of their workComputer Science: 138 works · 45.6% of their workComputer Vision and Pattern Recognition: 112 works · 37.0% of their workArtificial Intelligence: 18 works · 6.1% of their workComputational Theory and Mathematics: 8 works · 2.5% of their workEngineering: 39 works · 13.0% of their workComputational Mechanics: 28 works · 9.3% of their workBiomedical Engineering: 11 works · 3.7% of their workEverything else: 99 works · 32.8% of their workHealth Sciences: 26 works · 8.6% of their workMedicine: 26 works · 8.6% of their workRadiology, Nuclear Medicine and Imaging: 26 works · 8.6% of their workTHEIR WORKThomas Pock302works
Physical Sciences59%Health Sciences9%

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 Science13845.6%
    2. Engineering3913.0%
  2. Everything else9932.8%
    1. Medicine268.6%
  1. 1Computer Vision and Pattern Recognition37% of their works
  2. 2Computational Mechanics9% of their works
  3. 3Radiology, Nuclear Medicine and Imaging9% of their works
  4. 4Artificial Intelligence6% of their works
  5. 5Biomedical Engineering4% of their works
  6. 6Computational Theory and Mathematics2% of their works

Research topics

Which keywords describe Thomas Pock's research?

The keywords of their largest research topics: Deep Learning, Convolutional Networks, Sparse Representation, Depth Estimation, Stereo Vision, Image Segmentation, Medical Image Analysis and Compressed Sensing.

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 Learning1865 topics
  2. Convolutional Networks1212 topics
  3. Sparse Representation1072 topics
  4. Depth Estimation741 topic
  5. Stereo Vision741 topic
  6. Image Segmentation671 topic
  7. Medical Image Analysis671 topic
  8. Compressed Sensing601 topic
  9. Signal Recovery601 topic
  10. Image471 topic
  11. Super-Resolution471 topic
  12. Image Denoising331 topic
  13. Sparse Representations331 topic
  14. Imaging311 topic
  15. PET/CT311 topic
  16. Magnetic Resonance Imaging201 topic
  17. Perfusion Imaging201 topic
  18. Feature Matching191 topic
  19. Local Descriptors191 topic

Where does Thomas Pock work?

Thomas Pock's main affiliation in the publication record is Graz University of Technology, Austria.

How many publications and citations does Thomas Pock have?

OpenAlex counts 302 works and 24,425 citations for Thomas Pock, an h-index of 59, ranking #56,576 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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