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Researcher · Siemens (Germany) · Germany

Daniel Rinck

Daniel Rinck publishes mostly in Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering, on topics such as Medical Image Segmentation Techniques, Medical Imaging Techniques and Applications and Cardiac Imaging and Diagnostics.

OpenAlex
World rank
#2,348,975
of 7,710,434 ranked researchers
Rank in Germany
#116,084
of 364,343
Works
19
Citations
551
Citations per work
29.0
h-index
10
i10-index 10Top 56% in Radiology, Nuclear Medicine and Imaging
Daniel Rinck

What does Daniel Rinck research?

Daniel Rinck's work is mostly in Medicine (39%), Computer Science (30%), Engineering (13%).

Physical Sciences: 9 works · 48.2% of their workComputer Science: 6 works · 29.6% of their workComputer Vision and Pattern Recognition: 6 works · 29.6% of their workEngineering: 2 works · 13.0% of their workBiomedical Engineering: 2 works · 9.3% of their workComputational Mechanics: 1 works · 3.7% of their workPhysics and Astronomy: 1 works · 5.6% of their workAtomic and Molecular Physics, and Optics: 1 works · 5.6% of their workHealth Sciences: 7 works · 38.9% of their workMedicine: 7 works · 38.9% of their workRadiology, Nuclear Medicine and Imaging: 6 works · 29.6% of their workPulmonary and Respiratory Medicine: 2 works · 9.3% of their workEverything else: 2 works · 12.9% of their workTHEIR WORKDaniel Rinck19works
Physical Sciences48%Health Sciences39%

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 Science629.6%
    2. Engineering213.0%
    3. Physics and Astronomy15.6%
    1. Medicine738.9%
  3. Everything else212.9%
  1. 1Radiology, Nuclear Medicine and Imaging30% of their works
  2. 2Computer Vision and Pattern Recognition30% of their works
  3. 3Biomedical Engineering9% of their works
  4. 4Pulmonary and Respiratory Medicine9% of their works
  5. 5Atomic and Molecular Physics, and Optics6% of their works
  6. 6Computational Mechanics4% of their works

Research topics

Which keywords describe Daniel Rinck's research?

The keywords of their largest research topics: Deep Learning, Image Segmentation, Medical Image Analysis, Magnetic Resonance Imaging, Imaging, PET/CT, Cardiac Imaging and Coronary Artery Disease.

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 18 words, with their numbers
  1. Deep Learning133 topics
  2. Image Segmentation91 topic
  3. Medical Image Analysis91 topic
  4. Magnetic Resonance Imaging82 topics
  5. Imaging61 topic
  6. PET/CT61 topic
  7. Cardiac Imaging51 topic
  8. Coronary Artery Disease51 topic
  9. Dual-Energy CT41 topic
  10. Material Differentiation41 topic
  11. Carotid Artery Stenosis31 topic
  12. Endarterectomy31 topic
  13. 3D Reconstruction21 topic
  14. Connected Components21 topic
  15. Convolutional Neural Networks21 topic
  16. Image Recognition21 topic
  17. Labeling21 topic
  18. Point Clouds21 topic

Where does Daniel Rinck work?

Daniel Rinck's main affiliation in the publication record is Siemens (Germany), Germany.

How many publications and citations does Daniel Rinck have?

OpenAlex counts 19 works and 551 citations for Daniel Rinck, an h-index of 10, ranking #2,348,975 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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