Y. Kamp
- Signal Processing top 1%
- Speech and Audio Processing 6
- Digital Filter Design and Implementation 6
- Blind Source Separation Techniques 4
- Applied Mathematics top 2%
- Mathematical functions and polynomials 7
- Mathematical Analysis and Transform Methods 5
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- Matrix Theory and Algorithms 23
- Numerical Analysis top 5%
- Artificial Intelligence top 2%
- Neural Networks and Applications 6
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- Image and Signal Denoising Methods 6
Y. Kamp
49 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Signal Processing 485
- Applied Mathematics 372
- Computational Theory and Mathematics 440
- Numerical Analysis 147
- Artificial Intelligence 718
Countries citing papers authored by Y. Kamp
This map shows the geographic impact of Y. Kamp'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 Y. Kamp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y. Kamp more than expected).
Fields of papers citing papers by Y. Kamp
This network shows the impact of papers produced by Y. Kamp. 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 Y. Kamp. The network helps show where Y. Kamp may publish in the future.
Co-authorship network
The 11 scholars most cited alongside Y. Kamp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 0 | |
| 2 | 2000 | 1 | |
| 3 | 1993 | 71 | |
| 4 | An introduction to the Baum and EM algorithms for maximum likelihood estimation | 1991 | 1 |
| 5 | Auto-association by multilayer perceptrons and singular value decompositionbreakdown → | 1988 | 833 |
| 6 | 1985 | 6 | |
| 7 | 1984 | 1 | |
| 8 | 1984 | 9 | |
| 9 | 1983 | 5 | |
| 10 | 1983 | 17 | |
| 11 | 1983 | 2 | |
| 12 | Speech modelling and the trigonometric moment problem | 1982 | 39 |
| 13 | 1981 | 5 | |
| 14 | 1981 | 1 | |
| 15 | 1980 | 14 | |
| 16 | 1980 | 2 | |
| 17 | 1979 | 108 | |
| 18 | 1978 | 13 | |
| 19 | 1975 | 26 | |
| 20 | 1968 | 2 |
About Y. Kamp
Y. Kamp is a scholar working on Numerical Analysis, Applied Mathematics, Computational Theory and Mathematics, Signal Processing and Discrete Mathematics and Combinatorics, having authored 51 papers that have together received 2.1k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (23 papers), Mathematical functions and polynomials (7 papers), Image and Signal Denoising Methods (6 papers), Speech and Audio Processing (6 papers), Neural Networks and Applications (6 papers), Digital Filter Design and Implementation (6 papers), Mathematical Analysis and Transform Methods (5 papers) and Blind Source Separation Techniques (4 papers). The work is most often cited by research in Signal Processing (485 citations), Applied Mathematics (372 citations), Computational Theory and Mathematics (440 citations), Numerical Analysis (147 citations) and Artificial Intelligence (718 citations). Y. Kamp has collaborated with scholars based in Belgium, Finland and United States. Frequent co-authors include H. Bourlard, Y. Genin, P. Delsarte, Martin Hasler, J.-P. Thiran, C. Wellekens, Paul Van Dooren, Steffen Pauws, B. Dickinson and J. Neirynck. Their work appears in journals such as IEEE Transactions on Information Theory, Electronics Letters, Speech Communication, SIAM Journal on Applied Mathematics and Biological Cybernetics.
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.