Science Explorer Back to mapMap
Discussion
Researcher · Siemens (Germany) · Germany

Michael Suehling

Michael Suehling publishes mostly in Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering, on topics such as Radiomics and Machine Learning in Medical Imaging, AI in cancer detection and Medical Image Segmentation Techniques.

OpenAlex
World rank
#1,255,795
of 7,710,434 ranked researchers
Rank in Germany
#61,894
of 364,343
Works
35
Citations
1.1k
Citations per work
32.3
h-index
16
i10-index 19Top 31% in Radiology, Nuclear Medicine and Imaging
Michael Suehling

What does Michael Suehling research?

Michael Suehling's work is mostly in Medicine (35%), Computer Science (23%), Engineering (13%).

Physical Sciences: 13 works · 35.9% of their workComputer Science: 8 works · 23.3% of their workComputer Vision and Pattern Recognition: 5 works · 13.6% of their workArtificial Intelligence: 3 works · 9.7% of their workEngineering: 4 works · 12.6% of their workBiomedical Engineering: 4 works · 12.6% of their workHealth Sciences: 12 works · 34.9% of their workMedicine: 12 works · 34.9% of their workRadiology, Nuclear Medicine and Imaging: 8 works · 23.3% of their workPulmonary and Respiratory Medicine: 2 works · 5.8% of their workSurgery: 2 works · 5.8% of their workEverything else: 10 works · 29.2% of their workTHEIR WORKMichael Suehling35works
Physical Sciences36%Health Sciences35%

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 Science823.3%
    2. Engineering412.6%
    1. Medicine1234.9%
  3. Everything else1029.2%
  1. 1Radiology, Nuclear Medicine and Imaging23% of their works
  2. 2Computer Vision and Pattern Recognition14% of their works
  3. 3Biomedical Engineering13% of their works
  4. 4Artificial Intelligence10% of their works
  5. 5Pulmonary and Respiratory Medicine6% of their works
  6. 6Surgery6% of their works

Research topics

Which keywords describe Michael Suehling's research?

The keywords of their largest research topics: Deep Learning, Medical Image Analysis, Machine Learning, Texture Analysis, Artificial Intelligence, Medical Imaging, Radiomics and Computer-Aided Detection.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 21 words, with their numbers
  1. Deep Learning273 topics
  2. Medical Image Analysis273 topics
  3. Machine Learning212 topics
  4. Texture Analysis202 topics
  5. Artificial Intelligence122 topics
  6. Medical Imaging111 topic
  7. Radiomics111 topic
  8. Computer-Aided Detection101 topic
  9. Histopathology Images101 topic
  10. Graph Cuts91 topic
  11. Image Segmentation91 topic
  12. Spine Segmentation81 topic
  13. Vertebrae Detection81 topic
  14. Imaging51 topic
  15. PET/CT51 topic
  16. Colorectal Cancer41 topic
  17. Cone-Beam CT41 topic
  18. Dental Imaging41 topic
  19. Hepatocellular Carcinoma41 topic
  20. Liver Cancer41 topic
  21. Screening41 topic

Where does Michael Suehling work?

Michael Suehling's main affiliation in the publication record is Siemens (Germany), Germany.

How many publications and citations does Michael Suehling have?

OpenAlex counts 35 works and 1,132 citations for Michael Suehling, an h-index of 16, ranking #1,255,795 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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 Michael Suehling. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.