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Researcher · Friedrich-Alexander-Universität Erlangen-Nürnberg · Germany

Oliver Aust

Oliver Aust publishes mostly in Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Immunology, on topics such as Medical Imaging Techniques and Applications, Advanced X-ray and CT Imaging and Immune cells in cancer.

OpenAlex
World rank
#2,335,663
of 7,710,434 ranked researchers
Rank in Germany
#115,395
of 364,343
Works
31
Citations
527
Citations per work
17.0
h-index
10
i10-index 10Top 56% in Radiology, Nuclear Medicine and Imaging
Oliver Aust

What does Oliver Aust research?

Oliver Aust's work is mostly in Medicine (21%), Computer Science (14%), Immunology and Microbiology (12%).

Physical Sciences: 10 works · 31.5% of their workComputer Science: 4 works · 13.5% of their workComputer Vision and Pattern Recognition: 4 works · 13.5% of their workEngineering: 4 works · 12.4% of their workBiomedical Engineering: 4 works · 12.4% of their workPhysics and Astronomy: 2 works · 5.6% of their workRadiation: 2 works · 5.6% of their workEverything else: 9 works · 29.2% of their workHealth Sciences: 7 works · 21.3% of their workMedicine: 7 works · 21.3% of their workRadiology, Nuclear Medicine and Imaging: 7 works · 21.3% of their workLife Sciences: 6 works · 18.0% of their workImmunology and Microbiology: 4 works · 12.4% of their workImmunology: 4 works · 12.4% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 5.6% of their workBiophysics: 2 works · 5.6% of their workTHEIR WORKOliver Aust31works
Life Sciences18%Physical Sciences32%Health Sciences21%

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 Science413.5%
    2. Engineering412.4%
    3. Physics and Astronomy25.6%
  2. Everything else929.2%
    1. Medicine721.3%
    1. Immunology and Microbiology412.4%
    2. Biochemistry, Genetics and Molecular Biology25.6%
  1. 1Radiology, Nuclear Medicine and Imaging21% of their works
  2. 2Computer Vision and Pattern Recognition14% of their works
  3. 3Immunology12% of their works
  4. 4Biomedical Engineering12% of their works
  5. 5Biophysics6% of their works
  6. 6Radiation6% of their works

Research topics

Which keywords describe Oliver Aust's research?

The keywords of their largest research topics: Cancer, Imaging, PET/CT, Deep Learning, Tomography, Convolutional Neural Networks, Dual-Energy CT and Material Differentiation.

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 21 words, with their numbers
  1. Cancer182 topics
  2. Imaging131 topic
  3. PET/CT131 topic
  4. Deep Learning103 topics
  5. Tomography82 topics
  6. Convolutional Neural Networks72 topics
  7. Dual-Energy CT71 topic
  8. Material Differentiation71 topic
  9. Machine Learning62 topics
  10. Activation51 topic
  11. Macrophage51 topic
  12. Phase Retrieval51 topic
  13. X-ray Imaging51 topic
  14. Image Denoising41 topic
  15. Sparse Representations41 topic
  16. Bioimage Analysis31 topic
  17. Biomedical Applications31 topic
  18. High-Content Screening31 topic
  19. Histopathology Images31 topic
  20. Medical Image Analysis31 topic
  21. Photoacoustic Imaging31 topic

Where does Oliver Aust work?

Oliver Aust's main affiliation in the publication record is Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany.

How many publications and citations does Oliver Aust have?

OpenAlex counts 31 works and 527 citations for Oliver Aust, an h-index of 10, ranking #2,335,663 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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