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Researcher · Darmstadt University of Applied Sciences · Germany

Margot Mieskes

Margot Mieskes publishes mostly in Artificial Intelligence, Information Systems and Education, on topics such as Topic Modeling, Natural Language Processing Techniques and Speech and dialogue systems.

ORCID 0009-0006-2268-4804 OpenAlex
World rank
#6,982,009
of 7,710,434 ranked researchers
Rank in Germany
#342,937
of 364,343
Works
51
Citations
1.2k
Citations per work
24.0
h-index
8
i10-index 8Top 56% in Artificial Intelligence
Margot Mieskes

What does Margot Mieskes research?

Margot Mieskes's work is mostly in Computer Science (70%), Biochemistry, Genetics and Molecular Biology (3%), Decision Sciences (3%).

Physical Sciences: 36 works · 69.7% of their workComputer Science: 36 works · 69.7% of their workArtificial Intelligence: 34 works · 65.9% of their workInformation Systems: 2 works · 3.8% of their workEverything else: 10 works · 19.0% of their workSocial Sciences: 4 works · 8.3% of their workDecision Sciences: 2 works · 3.0% of their workManagement Science and Operations Research: 2 works · 3.0% of their workSocial Sciences: 2 works · 3.0% of their workEducation: 2 works · 3.0% of their workPsychology: 1 works · 2.3% of their workExperimental and Cognitive Psychology: 1 works · 2.3% of their workLife Sciences: 2 works · 3.0% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 3.0% of their workMolecular Biology: 2 works · 3.0% of their workTHEIR WORKMargot Mieskes51works
Life Sciences3%Physical Sciences70%Social 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 Science3669.7%
  2. Everything else1019.0%
    1. Decision Sciences23.0%
    2. Social Sciences23.0%
    3. Psychology12.3%
    1. Biochemistry, Genetics and Molecular Biology23.0%
  1. 1Artificial Intelligence66% of their works
  2. 2Information Systems4% of their works
  3. 3Education3% of their works
  4. 4Management Science and Operations Research3% of their works
  5. 5Molecular Biology3% of their works
  6. 6Experimental and Cognitive Psychology2% of their works

Research topics

Which keywords describe Margot Mieskes's research?

The keywords of their largest research topics: Neural Networks, Machine Translation, Word Representation, Neural Machine Translation, Statistical Machine Translation, Markov Decision Processes, Spoken Dialogue Systems and Natural Language Processing.

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. Neural Networks352 topics
  2. Machine Translation291 topic
  3. Word Representation291 topic
  4. Neural Machine Translation251 topic
  5. Statistical Machine Translation251 topic
  6. Markov Decision Processes101 topic
  7. Spoken Dialogue Systems101 topic
  8. Natural Language Processing72 topics
  9. Semantic Web72 topics
  10. Automatic61 topic
  11. Extraction61 topic
  12. Machine Learning62 topics
  13. Biomedical Ontologies41 topic
  14. Text Mining41 topic
  15. Code Clone Detection31 topic
  16. Detection31 topic
  17. Hate Speech31 topic
  18. Linked Data31 topic
  19. Ontology31 topic
  20. Refactoring31 topic

Where does Margot Mieskes work?

Margot Mieskes's main affiliation in the publication record is Darmstadt University of Applied Sciences, Germany.

How many publications and citations does Margot Mieskes have?

OpenAlex counts 51 works and 1,222 citations for Margot Mieskes, an h-index of 8, ranking #6,982,009 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.

Discussion

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