Science Explorer Back to mapMap
Discussion
Researcher · Fraunhofer Institute for Digital Medicine · Germany

Torben Pätz

Torben Pätz publishes mostly in Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Biomedical Engineering, on topics such as Aortic aneurysm repair treatments, Probabilistic and Robust Engineering Design and Image and Signal Denoising Methods.

ORCID 0000-0003-1071-1220 OpenAlex
World rank
#4,836,089
of 7,710,434 ranked researchers
Rank in Germany
#248,273
of 364,343
Works
48
Citations
300
Citations per work
6.3
h-index
11
i10-index 11Top 39% in Computer Vision and Pattern Recognition
Torben Pätz

What does Torben Pätz research?

Torben Pätz's work is mostly in Computer Science (16%), Engineering (15%), Medicine (13%).

Everything else: 21 works · 44.2% of their workPhysical Sciences: 17 works · 35.3% of their workComputer Science: 8 works · 15.7% of their workComputer Vision and Pattern Recognition: 8 works · 15.7% of their workEngineering: 7 works · 14.9% of their workBiomedical Engineering: 5 works · 9.4% of their workComputational Mechanics: 3 works · 5.5% of their workMathematics: 2 works · 4.7% of their workApplied Mathematics: 2 works · 4.7% of their workHealth Sciences: 6 works · 12.6% of their workMedicine: 6 works · 12.6% of their workPulmonary and Respiratory Medicine: 6 works · 12.6% of their workSocial Sciences: 4 works · 7.9% of their workDecision Sciences: 4 works · 7.9% of their workStatistics, Probability and Uncertainty: 4 works · 7.9% of their workTHEIR WORKTorben Pätz48works
Physical Sciences35%Health Sciences13%Social Sciences8%

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. Everything else2144.2%
    1. Computer Science815.7%
    2. Engineering714.9%
    3. Mathematics24.7%
    1. Medicine612.6%
    1. Decision Sciences47.9%
  1. 1Computer Vision and Pattern Recognition16% of their works
  2. 2Pulmonary and Respiratory Medicine13% of their works
  3. 3Biomedical Engineering9% of their works
  4. 4Statistics, Probability and Uncertainty8% of their works
  5. 5Computational Mechanics6% of their works
  6. 6Applied Mathematics5% of their works

Research topics

Which keywords describe Torben Pätz's research?

The keywords of their largest research topics: Deep Learning, Aneurysm Screening, Endovascular Repair, Sensitivity Analysis, Uncertainty Quantification, Image Denoising, Sparse Representations and Bioinspired Robotics.

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 17 words, with their numbers
  1. Deep Learning112 topics
  2. Aneurysm Screening91 topic
  3. Endovascular Repair91 topic
  4. Sensitivity Analysis91 topic
  5. Uncertainty Quantification91 topic
  6. Image Denoising71 topic
  7. Sparse Representations71 topic
  8. Bioinspired Robotics61 topic
  9. Soft Robotics61 topic
  10. Boltzmann Equation41 topic
  11. Education41 topic
  12. Image Segmentation41 topic
  13. Kinetic Theory41 topic
  14. Medical Image Analysis41 topic
  15. Metastatic41 topic
  16. Renal Cell Carcinoma41 topic
  17. Technology41 topic

Where does Torben Pätz work?

Torben Pätz's main affiliation in the publication record is Fraunhofer Institute for Digital Medicine, Germany.

How many publications and citations does Torben Pätz have?

OpenAlex counts 48 works and 300 citations for Torben Pätz, an h-index of 11, ranking #4,836,089 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

Ask a question or share a note about Torben Pätz. Posts are plain text and can be reported.