2026 Luc De Raedt: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	79	1144	1108	13	13	641	25235

Research.com Recognitions

2019 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to learning and reasoning through the integration of logical and relational representations in machine learning and probabilistic models.

Overview

Luc De Raedt is affiliated with KU Leuven in Belgium and conducts research primarily in Computer Science, with a particular focus on Artificial Intelligence. Their academic output includes 186 publications in the field of Computer Science and 150 specifically related to Artificial Intelligence.

Their work covers a variety of subfields and topics, including:

Artificial Intelligence
Computer Networks and Communications
Computer Vision and Pattern Recognition
Molecular Biology
Computational Theory and Mathematics

Semantic Web and Ontologies
Bayesian Modeling and Causal Inference
Logic, Reasoning, and Knowledge
AI-based Problem Solving and Planning
Natural Language Processing Techniques
Topic Modeling
Constraint Satisfaction and Optimization

Their research has been featured in frequent publication venues such as:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
Lirias (KU Leuven)
Artificial Intelligence
Theory and Practice of Logic Programming

Among recent papers by or involving Luc De Raedt are:

"COVID-19 in people with multiple sclerosis: A global data sharing initiative" (2020), published in Multiple Sclerosis Journal
"Comprehensive targeted next-generation sequencing approach in the molecular diagnosis of gastrointestinal stromal tumor" (2020), published in Genes Chromosomes and Cancer
"From statistical relational to neurosymbolic artificial intelligence: A survey" (2024), published in Artificial Intelligence
"Automating data science" (2022), published in Communications of the ACM
"DeepStochLog: Neural Stochastic Logic Programming" (2022), published in Proceedings of the AAAI Conference on Artificial Intelligence

Frequent collaborators include:

Giuseppe Marra
Pedro Zuidberg Dos Martires
Robin Manhaeve
Angelika Kimmig
Samuel Kolb

Luc De Raedt was awarded the title of Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 2019 for contributions to learning and reasoning through integrating logical and relational representations in machine learning and probabilistic models.

Best Publications

Inductive Logic Programming : Theory and Methods

Stephen Muggleton;Luc de Raedt

2267
Citations
Top-down induction of first-order logical decision trees

Hendrik Blockeel;Luc De Raedt

1058
Citations
ProbLog: a probabilistic prolog and its application in link discovery

Luc De Raedt;Angelika Kimmig;Hannu Toivonen

933
Citations
Encyclopedia of Machine Learning and Data Mining

Unknown

893
Citations
Logical and Relational Learning

Luc De Raedt

620
Citations
Top-Down Induction of Clustering Trees

Hendrik Blockeel;Luc De Raedt;Jan Ramon

588
Citations
Relational reinforcement learning

Sašo Džeroski;Luc De Raedt;Kurt Driessens

570
Citations
Probabilistic inductive logic programming

Luc De Raedt;Kristian Kersting

537
Citations
Clausal Discovery

Luc De Raedt;Luc Dehaspe

393
Citations
Inference and learning in probabilistic logic programs using weighted Boolean formulas

Daan Fierens;Guy Van den Broeck;Joris Renkens;Dimitar Sht. Shterionov

376
Citations
Interpreting Bayesian Logic Programs

Kristian Kersting;Luc De Raedt;Stefan Kramer

349
Citations
Mining Association Rules in Multiple Relations

Luc Dehaspe;Luc De Raedt

331
Citations
Data mining and machine learning techniques for the identification of mutagenicity inducing substructures and structure activity relationships of noncongeneric compounds.

Christoph Helma;Tobias Cramer;Stefan Kramer;Luc De Raedt

316
Citations
Molecular feature mining in HIV data

Stefan Kramer;Luc De Raedt;Christoph Helma

299
Citations
Interactive theory revision: an inductive logic programming approach

Luc De Raedt

295
Citations
Statistical Relational Artificial Intelligence: Logic, Probability, and Computation

Luc De Raedt;Kristian Kersting;Sriraam Natarajan

291
Citations
DeepProbLog: Neural Probabilistic Logic Programming

Robin Manhaeve;Sebastijan Dumancic;Angelika Kimmig;Thomas Demeester

291
Citations
Machine Learning: ECML 2001

Luc De Raedt;Peter Flach

272
Citations
Relational Reinforcement Learning

Saso Dzeroski;Luc De Raedt;Hendrik Blockeel

271
Citations
Bayesian Logic Programs

Kristian Kersting;Luc De Raedt

247
Citations
Multi instance neural networks

Jan Ramon;Luc De Raedt

244
Citations
Probabilistic logic learning

Luc De Raedt;Kristian Kersting

236
Citations
Proceedings of the 22nd international conference on Machine learning

Saso Dzeroski;Luc De Raedt;Stefan Wrobel

154
Citations

Frequent Co-Authors

Kristian Kersting Technical University of Darmstadt

Siegfried Nijssen Université Catholique de Louvain

Maurice Bruynooghe KU Leuven

Hendrik Blockeel KU Leuven

Paolo Frasconi University of Florence

Kathleen Marchal Ghent University

Stephen Muggleton Imperial College London

Jan Ramon French Institute for Research in Computer Science and Automation - INRIA

Tinne Tuytelaars KU Leuven

Stefan Kramer Johannes Gutenberg University of Mainz

External Links

Personal website of Luc De Raedt Google Scholar page

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