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Gabriele Steidl

Gabriele Steidl publishes mostly in Computer Vision and Pattern Recognition, Applied Mathematics and Artificial Intelligence, on topics such as Image and Signal Denoising Methods, Medical Imaging Techniques and Applications and Geometric Analysis and Curvature Flows.

World rank
#421,157
of 1,633,909 ranked researchers
Rank in Germany
#25,126
of 86,443
Works
55
Citations
246
Citations per work
4.5

What does Gabriele Steidl research?

Computer Vision and Pattern Recognition: 14.1%Applied Mathematics: 11.1%Artificial Intelligence: 9.1%Radiology, Nuclear Medicine and Imaging: 8.1%other fields: 57.6%14%top field
Computer Vision and Pattern Recognition14.1%Applied Mathematics11.1%Artificial Intelligence9.1%Radiology, Nuclear Medicine and Imaging8.1%other fields57.6%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Computer Vision and Pattern Recognition14% of their works
  2. 2Applied Mathematics11% of their works
  3. 3Artificial Intelligence9% of their works
  4. 4Radiology, Nuclear Medicine and Imaging8% of their works
  5. 5Mathematical Physics8% of their works
  6. 6Computational Mechanics5% of their works

Research topics

Which keywords describe Gabriele Steidl's research?

The keywords of their largest research topics: Deep Learning, Image Denoising, Sparse Representations, Bayesian Inference, Imaging, PET/CT, Variational Inference and Frames.

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 Learning112 topics
  2. Image Denoising81 topic
  3. Sparse Representations81 topic
  4. Bayesian Inference62 topics
  5. Imaging61 topic
  6. PET/CT61 topic
  7. Variational Inference62 topics
  8. Frames41 topic
  9. Inverse Problems41 topic
  10. Optimal Transport41 topic
  11. Regularization41 topic
  12. Regularization Methods41 topic
  13. Ricci Curvature41 topic
  14. Variable Selection41 topic
  15. Wavelets41 topic
  16. Clustering31 topic
  17. Gaussian Processes31 topic
  18. Machine Learning31 topic
  19. Mixture Models31 topic

Where does Gabriele Steidl work?

Gabriele Steidl's main affiliation in the publication record is University of Mannheim, Germany.

How many publications and citations does Gabriele Steidl have?

Science Explorer counts 55 works and 246 citations for Gabriele Steidl, ranking #421,157 of 1,633,909 researchers worldwide on the composite 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 Gabriele Steidl

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