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Researcher · IBM Research - Zurich · Switzerland

Celestine Dünner

Celestine Dünner publishes mostly in Artificial Intelligence, Computer Networks and Communications and Surgery, on topics such as Stochastic Gradient Optimization Techniques, Sparse and Compressive Sensing Techniques and Data Stream Mining Techniques.

ORCID 0000-0002-9880-7173 OpenAlex
World rank
#3,921,011
of 7,710,434 ranked researchers
Rank in Switzerland
#54,845
of 80,918
Works
26
Citations
169
Citations per work
6.5
h-index
6
i10-index 6Top 74% in Artificial Intelligence
Celestine Dünner

What does Celestine Dünner research?

Celestine Dünner's work is mostly in Computer Science (60%), Medicine (8%), Engineering (7%).

Physical Sciences: 18 works · 67.5% of their workComputer Science: 16 works · 60.5% of their workArtificial Intelligence: 11 works · 40.8% of their workComputer Networks and Communications: 3 works · 9.9% of their workInformation Systems: 1 works · 5.6% of their workComputer Vision and Pattern Recognition: 1 works · 4.2% of their workEngineering: 2 works · 7.0% of their workComputational Mechanics: 2 works · 7.0% of their workEverything else: 6 works · 24.0% of their workHealth Sciences: 2 works · 8.5% of their workMedicine: 2 works · 8.5% of their workSurgery: 2 works · 8.5% of their workTHEIR WORKCelestine Dünner26works
Physical Sciences67%Health Sciences8%

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 Science1660.5%
    2. Engineering27.0%
  2. Everything else624.0%
    1. Medicine28.5%
  1. 1Artificial Intelligence41% of their works
  2. 2Computer Networks and Communications10% of their works
  3. 3Surgery8% of their works
  4. 4Computational Mechanics7% of their works
  5. 5Information Systems6% of their works
  6. 6Computer Vision and Pattern Recognition4% of their works

Research topics

Which keywords describe Celestine Dünner's research?

The keywords of their largest research topics: Deep Learning, Convex Optimization, Neural Networks, Random Projections, Stochastic Gradient Descent, Ensemble Learning, Incremental Learning and Compressed Sensing.

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. Deep Learning164 topics
  2. Convex Optimization142 topics
  3. Neural Networks133 topics
  4. Random Projections91 topic
  5. Stochastic Gradient Descent91 topic
  6. Ensemble Learning62 topics
  7. Incremental Learning62 topics
  8. Compressed Sensing51 topic
  9. Sparse Representation51 topic
  10. Concept Drift41 topic
  11. Data Streams41 topic
  12. Graph Neural Networks31 topic
  13. Knowledge Graph Embedding31 topic
  14. Backpropagation Learning21 topic
  15. Cellular Automata21 topic
  16. Computation21 topic
  17. Extreme Learning Machine21 topic
  18. Feedforward Networks21 topic
  19. Gaussian Processes21 topic
  20. Machine Learning21 topic
  21. Self-Organizing Maps21 topic

Where does Celestine Dünner work?

Celestine Dünner's main affiliation in the publication record is IBM Research - Zurich, Switzerland.

How many publications and citations does Celestine Dünner have?

OpenAlex counts 26 works and 169 citations for Celestine Dünner, an h-index of 6, ranking #3,921,011 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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