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Researcher · Fraunhofer-Gesellschaft · Germany

Dietlind Zühlke

Dietlind Zühlke publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology, on topics such as Neural Networks and Applications, Biomedical Text Mining and Ontologies and Topic Modeling.

ORCID 0000-0003-3751-5887 OpenAlex
World rank
#5,555,870
of 7,710,434 ranked researchers
Rank in Germany
#286,611
of 364,343
Works
22
Citations
101
Citations per work
4.6
h-index
6
i10-index 3Top 74% in Artificial Intelligence
Dietlind Zühlke

What does Dietlind Zühlke research?

Dietlind Zühlke's work is mostly in Computer Science (45%), Biochemistry, Genetics and Molecular Biology (9%), Engineering (7%).

Physical Sciences: 12 works · 55.1% of their workComputer Science: 10 works · 44.9% of their workArtificial Intelligence: 7 works · 32.8% of their workComputer Vision and Pattern Recognition: 3 works · 12.1% of their workEngineering: 1 works · 6.8% of their workControl and Systems Engineering: 1 works · 3.4% of their workElectrical and Electronic Engineering: 1 works · 3.4% of their workMaterials Science: 1 works · 3.4% of their workMaterials Chemistry: 1 works · 3.4% of their workEverything else: 8 works · 36.3% of their workLife Sciences: 2 works · 8.6% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 8.6% of their workMolecular Biology: 2 works · 8.6% of their workTHEIR WORKDietlind Zühlke22works
Life Sciences9%Physical Sciences55%

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 Science1044.9%
    2. Engineering16.8%
    3. Materials Science13.4%
  2. Everything else836.3%
    1. Biochemistry, Genetics and Molecular Biology28.6%
  1. 1Artificial Intelligence33% of their works
  2. 2Computer Vision and Pattern Recognition12% of their works
  3. 3Molecular Biology9% of their works
  4. 4Electrical and Electronic Engineering3% of their works
  5. 5Control and Systems Engineering3% of their works
  6. 6Materials Chemistry3% of their works

Research topics

Which keywords describe Dietlind Zühlke's research?

The keywords of their largest research topics: Neural Networks, Sparse Representation, Deep Learning, Backpropagation Learning, Self-Organizing Maps, Artificial Intelligence, Biomedical Ontologies 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. 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. Neural Networks73 topics
  2. Sparse Representation63 topics
  3. Deep Learning52 topics
  4. Backpropagation Learning31 topic
  5. Self-Organizing Maps31 topic
  6. Artificial Intelligence21 topic
  7. Biomedical Ontologies21 topic
  8. Compressed Sensing21 topic
  9. Dimensionality Reduction21 topic
  10. Dynamic Line Rating21 topic
  11. Face Recognition21 topic
  12. Image21 topic
  13. Machine Translation21 topic
  14. Service Robots21 topic
  15. Signal Recovery21 topic
  16. Super-Resolution21 topic
  17. Text Mining21 topic
  18. Thermal Analysis21 topic
  19. Word Representation21 topic

Where does Dietlind Zühlke work?

Dietlind Zühlke's main affiliation in the publication record is Fraunhofer-Gesellschaft, Germany.

How many publications and citations does Dietlind Zühlke have?

OpenAlex counts 22 works and 101 citations for Dietlind Zühlke, an h-index of 6, ranking #5,555,870 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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