Bert Kappen

1.2k citations
38 papers · 826 · h-index 17

Impact in

Papers in

    • Neural Networks and Applications 11
    • Bayesian Modeling and Causal Inference 9
    • Gaussian Processes and Bayesian Inference 7
    • Music and Audio Processing 6
    • Speech and Audio Processing 6

Bert Kappen

37 papers receiving 733 citations

Peers

Bert Kappen
Comparison fields: 5 of 98
  • Signal Processing 316
  • Computer Vision and Pattern Recognition 294
  • Artificial Intelligence 381
  • Cognitive Neuroscience 188
  • Statistical and Nonlinear Physics 69
Replace Françoise Fogelman Soulié with:
Françoise Fogelman Soulié France
Mikio L. Braun Germany
L.K. Saul United States
Jonathan Oliver Australia
M.A. Jabri Australia
George Sebestyen United States
István Dénes Germany
Jean-François Paiement United States
Michael Revow Canada
Onureena Banerjee United States
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Citations per field
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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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000131
2 199182
3 200377
4 200870
5 199355
6 200050
7
Risk sensitive path integral control
201039
8 199232
9 201030
10 199523
11 200423
12 201220
13 200218
14 200317
15 200417
16
Dynamic Policy Programming with Function Approximation
201116
17 199216
18
Loop corrected belief propagation.
200714
19 199314
20 201110

About Bert Kappen

Bert Kappen is a scholar working on Artificial Intelligence, Signal Processing, Control and Systems Engineering, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 38 papers that have together received 826 indexed citations. Recurring topics across this work include Neural Networks and Applications (11 papers), Bayesian Modeling and Causal Inference (9 papers), Gaussian Processes and Bayesian Inference (7 papers), Music and Audio Processing (6 papers), Speech and Audio Processing (6 papers), Control Systems and Identification (5 papers), Music Technology and Sound Studies (4 papers) and Model Reduction and Neural Networks (4 papers). The work is most often cited by research in Signal Processing (316 citations), Computer Vision and Pattern Recognition (294 citations), Artificial Intelligence (381 citations), Cognitive Neuroscience (188 citations) and Statistical and Nonlinear Physics (69 citations). Bert Kappen has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Tom Heskes, Ali Taylan Cemgil, Wim Wiegerinck, Peter Desain, Henkjan Honing, Stan Gielen, Eddy T. P. Slijpen, M.A.R. Leisink, David Barber and Bart Bakker. Their work appears in journals such as Journal of Artificial Intelligence Research, Physical Review A, Expert Systems with Applications, Statistics in Medicine and Journal of Machine Learning Research.

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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