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Researcher · Qualcomm (United Kingdom) · United Kingdom

Markus Nagel

Markus Nagel publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Surgery, on topics such as Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning and Advanced Image and Video Retrieval Techniques.

OpenAlex
World rank
#2,236,735
of 7,710,434 ranked researchers
Rank in United Kingdom
#161,311
of 367,258
Works
101
Citations
1.2k
Citations per work
11.6
h-index
18
i10-index 32Top 17% in Computer Vision and Pattern Recognition
Markus Nagel

What does Markus Nagel research?

Markus Nagel's work is mostly in Computer Science (44%), Medicine (9%), Engineering (8%).

Physical Sciences: 52 works · 51.9% of their workComputer Science: 45 works · 44.3% of their workComputer Vision and Pattern Recognition: 25 works · 25.2% of their workArtificial Intelligence: 19 works · 19.1% of their workEngineering: 8 works · 7.6% of their workBiomedical Engineering: 4 works · 4.2% of their workIndustrial and Manufacturing Engineering: 3 works · 3.4% of their workEverything else: 40 works · 39.3% of their workHealth Sciences: 9 works · 8.8% of their workMedicine: 9 works · 8.8% of their workSurgery: 5 works · 4.6% of their workRadiology, Nuclear Medicine and Imaging: 4 works · 4.2% of their workTHEIR WORKMarkus Nagel101works
Physical Sciences52%Health Sciences9%

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 Science4544.3%
    2. Engineering87.6%
  2. Everything else4039.3%
    1. Medicine98.8%
  1. 1Computer Vision and Pattern Recognition25% of their works
  2. 2Artificial Intelligence19% of their works
  3. 3Surgery5% of their works
  4. 4Radiology, Nuclear Medicine and Imaging4% of their works
  5. 5Biomedical Engineering4% of their works
  6. 6Industrial and Manufacturing Engineering3% of their works

Research topics

Which keywords describe Markus Nagel's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Image Recognition, Object Detection, Domain Adaptation, Transfer Learning, Neural Networks and Feature Matching.

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 19 words, with their numbers
  1. Deep Learning423 topics
  2. Convolutional Neural Networks332 topics
  3. Image Recognition281 topic
  4. Object Detection281 topic
  5. Domain Adaptation151 topic
  6. Transfer Learning151 topic
  7. Neural Networks132 topics
  8. Feature Matching81 topic
  9. Local Descriptors81 topic
  10. Anaesthesia71 topic
  11. Machine Translation71 topic
  12. Medical Ethics71 topic
  13. Medical Gases71 topic
  14. Patient Rights71 topic
  15. Word Representation71 topic
  16. Backpropagation Learning61 topic
  17. Self-Organizing Maps61 topic
  18. Acoustic Modeling51 topic
  19. Deep Neural Networks51 topic

Where does Markus Nagel work?

Markus Nagel's main affiliation in the publication record is Qualcomm (United Kingdom), United Kingdom.

How many publications and citations does Markus Nagel have?

OpenAlex counts 101 works and 1,171 citations for Markus Nagel, an h-index of 18, ranking #2,236,735 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

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