Bert Kappen

1.2k citations
31 papers · 624 indexed · h-index 14

Impact in

Papers in

Bert Kappen

31 papers receiving 560 citations

Peers

Bert Kappen
Comparison fields: 5 of 81
  • Signal Processing 275
  • Computer Vision and Pattern Recognition 248
  • Artificial Intelligence 261
  • Cognitive Neuroscience 150
  • Statistical and Nonlinear Physics 54
Replace Françoise Fogelman Soulié with:
Françoise Fogelman Soulié France
Mikio L. Braun Germany
Purdy Ho United States
LinChih-Jen
Jean-François Paiement United States
Jiantao Jiao United States
Amarnag Subramanya United States
John S. Bridle United Kingdom
Yunus Saatçi United Kingdom
Santosh Kumar Srivastava United States
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Citations per field
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Françoise Fogelman Soulié · 1×
Citations per year

Countries citing papers authored by Bert Kappen

Since Specialization
Citations

This map shows the geographic impact of Bert Kappen'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 Bert Kappen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bert Kappen more than expected).

Fields of papers citing papers by Bert Kappen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bert Kappen. 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 Bert Kappen. The network helps show where Bert Kappen may publish in the future.

Co-authors

The 17 scholars most cited alongside Bert Kappen, 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 Bert Kappen Line = papers co-authored together Bert Kappen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000109
2 199175
3 200369
4 200864
5 200040
6
Risk sensitive path integral control
201036
7 199227
8 200421
9 201218
10 200417
11 199517
12
Dynamic Policy Programming with Function Approximation
201116
13 200316
14 200213
15 199212
16
Loop corrected belief propagation.
200711
17 201110
18 199310
19 20127
20 19987

About Bert Kappen

Bert Kappen is a scholar working on Artificial Intelligence, Control and Systems Engineering, Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 31 papers that have together received 624 indexed citations. Recurring topics across this work include Neural Networks and Applications (8 papers), Gaussian Processes and Bayesian Inference (6 papers), Music and Audio Processing (6 papers), Speech and Audio Processing (6 papers), Bayesian Modeling and Causal Inference (6 papers), Control Systems and Identification (5 papers), Music Technology and Sound Studies (4 papers) and Model Reduction and Neural Networks (3 papers). The work is most often cited by research in Signal Processing (275 citations), Computer Vision and Pattern Recognition (248 citations), Artificial Intelligence (261 citations), Cognitive Neuroscience (150 citations) and Statistical and Nonlinear Physics (54 citations). Bert Kappen has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Ali Taylan Cemgil, Tom Heskes, Peter Desain, Wim Wiegerinck, Henkjan Honing, Stan Gielen, Eddy T. P. Slijpen, M.A.R. Leisink, David Barber and Mohammad Gheshlaghi Azar. Their work appears in journals such as Journal of Artificial Intelligence Research, Physical Review A, Journal of New Music Research, Annals of the Rheumatic Diseases and International Journal of Control.

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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