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Researcher · German Research Centre for Artificial Intelligence · Germany

Dirk Weissenborn

Dirk Weissenborn publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology, on topics such as Topic Modeling, Natural Language Processing Techniques and Multimodal Machine Learning Applications.

OpenAlex
World rank
#1,376,329
of 7,710,434 ranked researchers
Rank in Germany
#67,882
of 364,343
Works
35
Citations
25k
Citations per work
709.8
h-index
17
i10-index 22Top 18% in Artificial Intelligence
Dirk Weissenborn

What does Dirk Weissenborn research?

Dirk Weissenborn's work is mostly in Computer Science (92%), Biochemistry, Genetics and Molecular Biology (7%), Engineering (1%).

Physical Sciences: 33 works · 93.3% of their workComputer Science: 32 works · 92.3% of their workArtificial Intelligence: 22 works · 62.5% of their workComputer Vision and Pattern Recognition: 10 works · 28.8% of their workInformation Systems: 0 works · 1.0% of their workEngineering: 0 works · 1.0% of their workBiomedical Engineering: 0 works · 1.0% of their workLife Sciences: 2 works · 6.7% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 6.7% of their workMolecular Biology: 2 works · 6.7% of their workTHEIR WORKDirk Weissenborn35works
Life Sciences7%Physical Sciences93%

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 Science3292.3%
    2. Engineering01.0%
    1. Biochemistry, Genetics and Molecular Biology26.7%
  1. 1Artificial Intelligence62% of their works
  2. 2Computer Vision and Pattern Recognition29% of their works
  3. 3Molecular Biology7% of their works
  4. 4Information Systems1% of their works
  5. 5Biomedical Engineering1% of their works

Research topics

Which keywords describe Dirk Weissenborn's research?

The keywords of their largest research topics: Neural Networks, Machine Translation, Word Representation, Neural Machine Translation, Statistical Machine Translation, Deep Learning, Data Integration and Image Captioning.

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 21 words, with their numbers
  1. Neural Networks393 topics
  2. Machine Translation231 topic
  3. Word Representation231 topic
  4. Neural Machine Translation221 topic
  5. Statistical Machine Translation221 topic
  6. Deep Learning192 topics
  7. Data Integration132 topics
  8. Image Captioning131 topic
  9. Semantic Web132 topics
  10. Visual Question Answering131 topic
  11. Natural Language Processing102 topics
  12. Biomedical Ontologies71 topic
  13. Text Mining71 topic
  14. Convolutional Neural Networks61 topic
  15. Image Recognition61 topic
  16. Linked Data61 topic
  17. Ontology61 topic
  18. Domain Adaptation41 topic
  19. Transfer Learning41 topic
  20. Readability Assessment31 topic
  21. Text Simplification31 topic

Where does Dirk Weissenborn work?

Dirk Weissenborn's main affiliation in the publication record is German Research Centre for Artificial Intelligence, Germany.

How many publications and citations does Dirk Weissenborn have?

OpenAlex counts 35 works and 24,844 citations for Dirk Weissenborn, an h-index of 17, ranking #1,376,329 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.

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