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Researcher · KU Leuven · Belgium

Luc De Raedt

Luc De Raedt publishes mostly in Artificial Intelligence, Information Systems and Computational Theory and Mathematics, on topics such as Logic, Reasoning, and Knowledge, Bayesian Modeling and Causal Inference and Data Mining Algorithms and Applications.

ORCID 0000-0002-6860-6303 OpenAlex
World rank
#313,113
of 7,710,434 ranked researchers
Rank in Belgium
#2,491
of 67,186
Works
645
Citations
17k
Citations per work
26.1
h-index
64
i10-index 221Top 0.4% in Artificial Intelligence
Luc De Raedt

What does Luc De Raedt research?

Luc De Raedt's work is mostly in Computer Science (79%), Biochemistry, Genetics and Molecular Biology (4%).

Physical Sciences: 511 works · 79.2% of their workComputer Science: 511 works · 79.2% of their workArtificial Intelligence: 336 works · 52.1% of their workInformation Systems: 57 works · 8.9% of their workComputational Theory and Mathematics: 52 works · 8.1% of their workComputer Networks and Communications: 41 works · 6.3% of their workComputer Vision and Pattern Recognition: 25 works · 3.8% of their workEverything else: 106 works · 16.5% of their workLife Sciences: 28 works · 4.3% of their workBiochemistry, Genetics and Molecular Biology: 28 works · 4.3% of their workMolecular Biology: 28 works · 4.3% of their workTHEIR WORKLuc De Raedt645works
Life Sciences4%Physical Sciences79%

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 Science51179.2%
  2. Everything else10616.5%
    1. Biochemistry, Genetics and Molecular Biology284.3%
  1. 1Artificial Intelligence52% of their works
  2. 2Information Systems9% of their works
  3. 3Computational Theory and Mathematics8% of their works
  4. 4Computer Networks and Communications6% of their works
  5. 5Molecular Biology4% of their works
  6. 6Computer Vision and Pattern Recognition4% of their works

Research topics

Which keywords describe Luc De Raedt's research?

The keywords of their largest research topics: Description Logics, Knowledge Representation, Machine Learning, Answer Set Programming, Modal Logic, Bayesian Networks, Causal Inference and Data Mining.

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 19 words, with their numbers
  1. Description Logics2772 topics
  2. Knowledge Representation2772 topics
  3. Machine Learning1962 topics
  4. Answer Set Programming1501 topic
  5. Modal Logic1501 topic
  6. Bayesian Networks1461 topic
  7. Causal Inference1461 topic
  8. Data Mining1391 topic
  9. Frequent Patterns1391 topic
  10. Ontology1271 topic
  11. Semantic Web1271 topic
  12. Heuristic Search801 topic
  13. Planning Systems801 topic
  14. Granular Computing721 topic
  15. Rough Sets721 topic
  16. Neural Machine Translation701 topic
  17. Statistical Machine Translation701 topic
  18. Active Learning571 topic
  19. Semi-Supervised Learning571 topic

Where does Luc De Raedt work?

Luc De Raedt's main affiliation in the publication record is KU Leuven, Belgium.

How many publications and citations does Luc De Raedt have?

OpenAlex counts 645 works and 16,839 citations for Luc De Raedt, an h-index of 64, ranking #313,113 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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