Bart De Moor

45.7k citations
641 papers · 30.8k indexed · 13 hit papers · h-index 74

Impact in

Papers in

Bart De Moor

603 papers receiving 29.1k citations

Hit Papers

Unbiased minimum-variance input and state estimation for linear discrete-time systems with direct feedthrough 2007 · 394 citations
394199420262004201550010001.5k2.0k2.5k

Peers

Bart De Moor
Comparison fields: 5 of 229
  • Computational Mathematics 2.7k
  • Control and Systems Engineering 9.0k
  • Signal Processing 2.8k
  • Artificial Intelligence 7.0k
  • Statistics, Probability and Uncertainty 1.4k
Replace Joos Vandewalle with:
Joos Vandewalle Belgium
Gene H. Golub United States
Johan A. K. Suykens Belgium
Stephen Boyd United States
Georgios B. Giannakis United States
Шун-ичи Амари Japan
Jorge Nocedal United States
Alex Smola United States
Bernhard Schölkopf Germany
Chih‐Jen Lin Taiwan
Bart De Moor relative to Joos Vandewalle Belgium Joos Vandewalle's profile →
Citations per field
00.5×2.8×
Joos Vandewalle · 1×
Citations per year

Countries citing papers authored by Bart De Moor

Since Specialization
Citations

This map shows the geographic impact of Bart De Moor's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bart De Moor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bart De Moor more than expected).

Fields of papers citing papers by Bart De Moor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bart De Moor. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bart De Moor. The network helps show where Bart De Moor may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Bart De Moor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bart De Moor Line = papers co-authored together Bart De Moor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20253
4 20241
5
Deconvolution in Nonparametric Statistics
20122
6 201232
7 201142
8 201049
9
On Robustness in Kernel Based Regression
20102
10
Robust MPC based on symmetric low-complexity polytopes
20092
11
Applications of Gibbs sampling in bioinformatics
20061
12
Optimal placement and sizing of distributed generator units using genetic optimization algorithms
200580
13
Co-clustering approaches to integrate lexical and bibliographical information
20059
14
Handleiding juridisch schrijven
20041
15
Ensemble Learning of Coupled Parmeterised Kernel Models
20036
16
Real-Time Acoustics Simulation using Mesh-Tracing
20033
17 20023
18
Models for traffic control
200227
19
Detection of cis-acting regulatory elements in plants : a GIBBS sampling approach
20004
20
Optimal control of the penicillin G fed-batch fermentation: an analysis of a new unstructured model
19912

About Bart De Moor

Bart De Moor is a scholar working on Computational Mathematics, Control and Systems Engineering, Signal Processing, Computational Theory and Mathematics and Artificial Intelligence, having authored 641 papers that have together received 30.8k indexed citations. Recurring topics across this work include Control Systems and Identification (141 papers), Fault Detection and Control Systems (91 papers), Neural Networks and Applications (76 papers), Advanced Control Systems Optimization (66 papers), Matrix Theory and Algorithms (48 papers), Gene expression and cancer classification (48 papers), Blind Source Separation Techniques (47 papers) and Structural Health Monitoring Techniques (45 papers). The work is most often cited by research in Computational Mathematics (2.7k citations), Control and Systems Engineering (9.0k citations), Signal Processing (2.8k citations), Artificial Intelligence (7.0k citations) and Statistics, Probability and Uncertainty (1.4k citations). Bart De Moor has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Joos Vandewalle, Peter Van Overschee, Johan A. K. Suykens, Lieven De Lathauwer, Tony Van Gestel, Jos De Brabanter, Steven Gillijns, Jeroen Dehaene, Yves Moreau and Bart De Schutter. Their work appears in journals such as Physical Review A, Bioinformatics, Automatica, Linear Algebra and its Applications and BMC Bioinformatics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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