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Researcher · ETH Zurich · Switzerland

David Brüggemann

David Brüggemann publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine, on topics such as Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications and COVID-19 diagnosis using AI.

ORCID 0000-0002-2409-5548 OpenAlex
World rank
#2,485,877
of 7,710,434 ranked researchers
Rank in Switzerland
#38,220
of 80,918
Works
28
Citations
198
Citations per work
7.1
h-index
8
i10-index 8Top 56% in Artificial Intelligence
David Brüggemann

What does David Brüggemann research?

David Brüggemann's work is mostly in Computer Science (52%), Medicine (20%), Engineering (12%).

Physical Sciences: 18 works · 64.0% of their workComputer Science: 15 works · 52.0% of their workArtificial Intelligence: 8 works · 28.0% of their workComputer Vision and Pattern Recognition: 7 works · 24.0% of their workEngineering: 3 works · 12.0% of their workElectrical and Electronic Engineering: 2 works · 6.7% of their workControl and Systems Engineering: 1 works · 5.3% of their workHealth Sciences: 6 works · 20.0% of their workMedicine: 6 works · 20.0% of their workCardiology and Cardiovascular Medicine: 3 works · 12.0% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 8.0% of their workEverything else: 4 works · 16.0% of their workTHEIR WORKDavid Brüggemann28works
Physical Sciences64%Health Sciences20%

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 Science1552.0%
    2. Engineering312.0%
    1. Medicine620.0%
  3. Everything else416.0%
  1. 1Artificial Intelligence28% of their works
  2. 2Computer Vision and Pattern Recognition24% of their works
  3. 3Cardiology and Cardiovascular Medicine12% of their works
  4. 4Radiology, Nuclear Medicine and Imaging8% of their works
  5. 5Electrical and Electronic Engineering7% of their works
  6. 6Control and Systems Engineering5% of their works

Research topics

Which keywords describe David Brüggemann's research?

The keywords of their largest research topics: Deep Learning, Transfer Learning, Convolutional Neural Networks, Meta-Learning, Domain Adaptation, Few-Shot Learning, Image Recognition and Object 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.

All 22 words, with their numbers
  1. Deep Learning255 topics
  2. Transfer Learning162 topics
  3. Convolutional Neural Networks152 topics
  4. Meta-Learning152 topics
  5. Domain Adaptation111 topic
  6. Few-Shot Learning111 topic
  7. Image Recognition101 topic
  8. Object Detection101 topic
  9. Classification72 topics
  10. Neural Networks72 topics
  11. COVID-1951 topic
  12. Medical Imaging51 topic
  13. Hyperparameter Optimization41 topic
  14. Image Captioning41 topic
  15. Noisy Labels41 topic
  16. Visual Question Answering41 topic
  17. Adversarial Examples31 topic
  18. Arrhythmia Detection31 topic
  19. ECG Signal31 topic
  20. Robustness31 topic
  21. Fragmented Objects21 topic
  22. Reconstruction21 topic

Where does David Brüggemann work?

David Brüggemann's main affiliation in the publication record is ETH Zurich, Switzerland.

How many publications and citations does David Brüggemann have?

OpenAlex counts 28 works and 198 citations for David Brüggemann, an h-index of 8, ranking #2,485,877 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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