Bert Kappen
Impact in
- Signal Processing top 2%
- Music and Audio Processing
- Speech and Audio Processing
-
- Music Technology and Sound Studies
Papers in
-
- Neural Networks and Applications 8
- Bayesian Modeling and Causal Inference 6
- Gaussian Processes and Bayesian Inference 6
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- Control Systems and Identification 5
- Co-authors
- Ali Taylan Cemgil (7 shared papers)Tom Heskes (9 shared papers)Peter Desain (2 shared papers)Wim Wiegerinck (5 shared papers)Henkjan Honing (1 shared paper)Stan Gielen (5 shared papers)Eddy T. P. Slijpen (2 shared papers)M.A.R. Leisink (1 shared paper)
- Journals
- Physical Review A (3 papers)Journal of Artificial Intelligence Research (3 papers)Theoretical Computer Science (1 paper)Statistics in Medicine (1 paper)Journal of Machine Learning Research (1 paper)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Bert Kappen
31 papers receiving 567 citations
Peers
Comparison fields: 5 of 79
- Signal Processing 278
- Computer Vision and Pattern Recognition 252
- Cognitive Neuroscience 153
- Artificial Intelligence 261
- Statistics and Probability 36
Countries citing papers authored by Bert Kappen
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
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.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 110 | |
| 2 | 1991 | 75 | |
| 3 | 2003 | 70 | |
| 4 | 2008 | 64 | |
| 5 | 2000 | 41 | |
| 6 | Risk sensitive path integral control | 2010 | 37 |
| 7 | 1992 | 27 | |
| 8 | 2004 | 21 | |
| 9 | 2012 | 18 | |
| 10 | 2004 | 17 | |
| 11 | 1995 | 17 | |
| 12 | 2003 | 16 | |
| 13 | Dynamic Policy Programming with Function Approximation | 2011 | 16 |
| 14 | 2002 | 13 | |
| 15 | 1992 | 12 | |
| 16 | Loop corrected belief propagation. | 2007 | 11 |
| 17 | 2011 | 10 | |
| 18 | 1993 | 10 | |
| 19 | 2012 | 7 | |
| 20 | 1998 | 7 |
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 630 indexed citations. Recurring topics across this work include Neural Networks and Applications (8 papers), Bayesian Modeling and Causal Inference (6 papers), Music and Audio Processing (6 papers), Gaussian Processes and Bayesian Inference (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 (3 papers). The work is most often cited by research in Signal Processing (278 citations), Computer Vision and Pattern Recognition (252 citations), Cognitive Neuroscience (153 citations), Artificial Intelligence (261 citations) and Statistics and Probability (36 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 Physical Review A, Journal of Artificial Intelligence Research, Theoretical Computer Science, 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.