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Researcher · Imperial College London · United Kingdom

Nico Potyka

Nico Potyka publishes mostly in Artificial Intelligence, Information Systems and Management Information Systems, on topics such as Logic, Reasoning, and Knowledge, Multi-Agent Systems and Negotiation and Bayesian Modeling and Causal Inference.

ORCID 0000-0003-1749-5233 OpenAlex
World rank
#4,622,042
of 7,710,434 ranked researchers
Rank in United Kingdom
#284,673
of 367,258
Works
105
Citations
430
Citations per work
4.1
h-index
11
i10-index 12Top 37% in Artificial Intelligence
Nico Potyka

What does Nico Potyka research?

Nico Potyka's work is mostly in Computer Science (81%), Business, Management and Accounting (3%), Biochemistry, Genetics and Molecular Biology (1%).

Physical Sciences: 85 works · 80.6% of their workComputer Science: 85 works · 80.6% of their workArtificial Intelligence: 80 works · 76.5% of their workInformation Systems: 4 works · 4.1% of their workEverything else: 13 works · 12.2% of their workSocial Sciences: 6 works · 5.8% of their workBusiness, Management and Accounting: 4 works · 3.4% of their workManagement Information Systems: 4 works · 3.4% of their workDecision Sciences: 1 works · 1.4% of their workManagement Science and Operations Research: 1 works · 1.4% of their workSocial Sciences: 1 works · 1.0% of their workSafety Research: 1 works · 1.0% of their workLife Sciences: 1 works · 1.4% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 1.4% of their workMolecular Biology: 1 works · 1.4% of their workTHEIR WORKNico Potyka105works
Life Sciences1%Physical Sciences81%Social Sciences6%

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 Science8580.6%
  2. Everything else1312.2%
    1. Business, Management and Accounting43.4%
    2. Decision Sciences11.4%
    3. Social Sciences11.0%
    1. Biochemistry, Genetics and Molecular Biology11.4%
  1. 1Artificial Intelligence76% of their works
  2. 2Information Systems4% of their works
  3. 3Management Information Systems3% of their works
  4. 4Management Science and Operations Research1% of their works
  5. 5Molecular Biology1% of their works
  6. 6Safety Research1% of their works

Research topics

Which keywords describe Nico Potyka's research?

The keywords of their largest research topics: Description Logics, Knowledge Representation, Answer Set Programming, Modal Logic, Agent-Based Modeling, Multi-Agent Systems, Bayesian Networks and Causal Inference.

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 18 words, with their numbers
  1. Description Logics722 topics
  2. Knowledge Representation722 topics
  3. Answer Set Programming431 topic
  4. Modal Logic431 topic
  5. Agent-Based Modeling361 topic
  6. Multi-Agent Systems361 topic
  7. Bayesian Networks331 topic
  8. Causal Inference331 topic
  9. Ontology291 topic
  10. Semantic Web291 topic
  11. Interpretable Models201 topic
  12. Machine Learning Interpretability201 topic
  13. Neural Networks171 topic
  14. Word Representation171 topic
  15. Graph Neural Networks111 topic
  16. Knowledge Graph Embedding111 topic
  17. Heuristic Search101 topic
  18. Planning Systems101 topic

Where does Nico Potyka work?

Nico Potyka's main affiliation in the publication record is Imperial College London, United Kingdom.

How many publications and citations does Nico Potyka have?

OpenAlex counts 105 works and 430 citations for Nico Potyka, an h-index of 11, ranking #4,622,042 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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