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Researcher · Tai Po Hospital · China

Nil Geisweiller

Nil Geisweiller publishes mostly in Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications, on topics such as Semantic Web and Ontologies, Computability, Logic, AI Algorithms and Logic, Reasoning, and Knowledge.

ORCID 0000-0001-5041-6299 OpenAlex
World rank
#3,962,065
of 7,710,434 ranked researchers
Rank in China
#615,947
of 978,568
Works
87
Citations
310
Citations per work
3.6
h-index
10
i10-index 10Top 42% in Artificial Intelligence
Nil Geisweiller

What does Nil Geisweiller research?

Nil Geisweiller's work is mostly in Computer Science (66%), Biochemistry, Genetics and Molecular Biology (6%), Neuroscience (4%).

Physical Sciences: 58 works · 66.4% of their workComputer Science: 58 works · 66.4% of their workArtificial Intelligence: 38 works · 44.0% of their workComputational Theory and Mathematics: 10 works · 11.5% of their workComputer Networks and Communications: 7 works · 8.2% of their workComputer Vision and Pattern Recognition: 2 works · 2.7% of their workEverything else: 21 works · 24.3% of their workLife Sciences: 8 works · 9.3% of their workBiochemistry, Genetics and Molecular Biology: 5 works · 5.5% of their workMolecular Biology: 5 works · 5.5% of their workNeuroscience: 3 works · 3.8% of their workCognitive Neuroscience: 3 works · 3.8% of their workTHEIR WORKNil Geisweiller87works
Life Sciences9%Physical Sciences66%

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 Science5866.4%
  2. Everything else2124.3%
    1. Biochemistry, Genetics and Molecular Biology55.5%
    2. Neuroscience33.8%
  1. 1Artificial Intelligence44% of their works
  2. 2Computational Theory and Mathematics12% of their works
  3. 3Computer Networks and Communications8% of their works
  4. 4Molecular Biology6% of their works
  5. 5Cognitive Neuroscience4% of their works
  6. 6Computer Vision and Pattern Recognition3% of their works

Research topics

Which keywords describe Nil Geisweiller's research?

The keywords of their largest research topics: Knowledge Representation, Description Logics, Causal Discovery, Ontology, Semantic Web, Algorithmic Information Theory, Computability and Answer Set Programming.

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. Knowledge Representation393 topics
  2. Description Logics342 topics
  3. Causal Discovery232 topics
  4. Ontology211 topic
  5. Semantic Web211 topic
  6. Algorithmic Information Theory171 topic
  7. Computability171 topic
  8. Answer Set Programming131 topic
  9. Modal Logic131 topic
  10. Heuristic Search101 topic
  11. Planning Systems101 topic
  12. Bayesian Networks61 topic
  13. Causal Inference61 topic
  14. Distributed Systems61 topic
  15. Grid Computing61 topic
  16. Fuzzy Cognitive Maps51 topic
  17. Modeling51 topic
  18. Neural Networks51 topic
  19. Self-Organizing Maps51 topic

Where does Nil Geisweiller work?

Nil Geisweiller's main affiliation in the publication record is Tai Po Hospital, China.

How many publications and citations does Nil Geisweiller have?

OpenAlex counts 87 works and 310 citations for Nil Geisweiller, an h-index of 10, ranking #3,962,065 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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