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Researcher · KU Leuven · Belgium

Bart De Moor

Bart De Moor publishes mostly in Control and Systems Engineering, Artificial Intelligence and Molecular Biology, on topics such as Control Systems and Identification, Fault Detection and Control Systems and Neural Networks and Applications.

ORCID 0000-0002-1154-5028 OpenAlex
World rank
#451,140
of 7,710,434 ranked researchers
Rank in Belgium
#3,787
of 67,186
Works
1,042
Citations
46k
Citations per work
44.6
h-index
89
i10-index 390Top 0.1% in Control and Systems Engineering
Bart De Moor

What does Bart De Moor research?

Bart De Moor's work is mostly in Computer Science (26%), Engineering (19%), Biochemistry, Genetics and Molecular Biology (12%).

Physical Sciences: 468 works · 44.9% of their workComputer Science: 269 works · 25.8% of their workArtificial Intelligence: 135 works · 13.0% of their workComputational Theory and Mathematics: 56 works · 5.4% of their workComputer Vision and Pattern Recognition: 40 works · 3.8% of their workSignal Processing: 38 works · 3.6% of their workEngineering: 199 works · 19.1% of their workControl and Systems Engineering: 199 works · 19.1% of their workEverything else: 451 works · 43.3% of their workLife Sciences: 123 works · 11.8% of their workBiochemistry, Genetics and Molecular Biology: 123 works · 11.8% of their workMolecular Biology: 123 works · 11.8% of their workTHEIR WORKBart De Moor1,042works
Life Sciences12%Physical Sciences45%

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 Science26925.8%
    2. Engineering19919.1%
  2. Everything else45143.3%
    1. Biochemistry, Genetics and Molecular Biology12311.8%
  1. 1Control and Systems Engineering19% of their works
  2. 2Artificial Intelligence13% of their works
  3. 3Molecular Biology12% of their works
  4. 4Computational Theory and Mathematics5% of their works
  5. 5Computer Vision and Pattern Recognition4% of their works
  6. 6Signal Processing4% of their works

Research topics

Which keywords describe Bart De Moor's research?

The keywords of their largest research topics: Machine Learning, Parameter Estimation, System Identification, Fault Detection, Process Monitoring, Neural Networks, Self-Organizing Maps and Model Predictive Control.

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 17 words, with their numbers
  1. Machine Learning1972 topics
  2. Parameter Estimation1901 topic
  3. System Identification1901 topic
  4. Fault Detection1251 topic
  5. Process Monitoring1251 topic
  6. Neural Networks1091 topic
  7. Self-Organizing Maps1091 topic
  8. Model Predictive Control941 topic
  9. Optimization941 topic
  10. Gene Expression721 topic
  11. Microarray721 topic
  12. Matrix Computations611 topic
  13. Numerical Linear Algebra611 topic
  14. Blind Separation581 topic
  15. Independent Component Analysis581 topic
  16. Vibration-based Damage Identification551 topic
  17. Wireless Sensors551 topic

Where does Bart De Moor work?

Bart De Moor's main affiliation in the publication record is KU Leuven, Belgium.

How many publications and citations does Bart De Moor have?

OpenAlex counts 1,042 works and 46,489 citations for Bart De Moor, an h-index of 89, ranking #451,140 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.

Other researchers named Bart De Moor

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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