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Researcher · Vienna University of Economics and Business · Austria

Gerhard Wohlgenannt

Gerhard Wohlgenannt publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Semantic Web and Ontologies, Natural Language Processing Techniques and Topic Modeling.

ORCID 0000-0001-7196-0699 OpenAlex
World rank
#6,556,547
of 7,710,434 ranked researchers
Rank in Austria
#39,202
of 43,330
Works
59
Citations
291
Citations per work
4.9
h-index
10
i10-index 10Top 42% in Artificial Intelligence
Gerhard Wohlgenannt

What does Gerhard Wohlgenannt research?

Gerhard Wohlgenannt's work is mostly in Computer Science (82%), Biochemistry, Genetics and Molecular Biology (5%).

Physical Sciences: 48 works · 81.6% of their workComputer Science: 48 works · 81.6% of their workArtificial Intelligence: 34 works · 57.4% of their workInformation Systems: 6 works · 9.5% of their workComputer Vision and Pattern Recognition: 3 works · 5.9% of their workComputer Science Applications: 3 works · 4.7% of their workComputer Networks and Communications: 2 works · 4.1% of their workEverything else: 8 works · 13.1% of their workLife Sciences: 3 works · 5.3% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 5.3% of their workMolecular Biology: 3 works · 5.3% of their workTHEIR WORKGerhardWohlgenannt59works
Life Sciences5%Physical Sciences82%

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 Science4881.6%
  2. Everything else813.1%
    1. Biochemistry, Genetics and Molecular Biology35.3%
  1. 1Artificial Intelligence57% of their works
  2. 2Information Systems10% of their works
  3. 3Computer Vision and Pattern Recognition6% of their works
  4. 4Molecular Biology5% of their works
  5. 5Computer Science Applications5% of their works
  6. 6Computer Networks and Communications4% of their works

Research topics

Which keywords describe Gerhard Wohlgenannt's research?

The keywords of their largest research topics: Data Integration, Semantic Web, Linked Data, Ontology, Neural Networks, Information Retrieval, Neural Machine Translation and Statistical Machine Translation.

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 20 words, with their numbers
  1. Data Integration412 topics
  2. Semantic Web412 topics
  3. Linked Data321 topic
  4. Ontology321 topic
  5. Neural Networks302 topics
  6. Information Retrieval292 topics
  7. Neural Machine Translation251 topic
  8. Statistical Machine Translation251 topic
  9. Machine Translation221 topic
  10. Word Representation221 topic
  11. Biomedical Ontologies91 topic
  12. Text Mining91 topic
  13. Automatic81 topic
  14. Extraction81 topic
  15. QoS-Aware Middleware81 topic
  16. Semantic Web Services81 topic
  17. Web Crawling71 topic
  18. Web Data Extraction71 topic
  19. Crowdsourcing61 topic
  20. Mechanical Turk61 topic

Where does Gerhard Wohlgenannt work?

Gerhard Wohlgenannt's main affiliation in the publication record is Vienna University of Economics and Business, Austria.

How many publications and citations does Gerhard Wohlgenannt have?

OpenAlex counts 59 works and 291 citations for Gerhard Wohlgenannt, an h-index of 10, ranking #6,556,547 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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