Y. Kamp

3.2k citations
55 papers · 2.4k · 1 hit paper · h-index 18

Impact in

Papers in

Y. Kamp

48 papers receiving 2.1k citations

Y. Kamp's Hit Papers

Auto-association by multilayer perceptrons and singular value decomposition 1988 · 978 citations
9780+12+25Years since publication250500750

Peers

Y. Kamp
Comparison fields: 5 of 126
  • Signal Processing 545
  • Applied Mathematics 418
  • Numerical Analysis 177
  • Computational Theory and Mathematics 503
  • Artificial Intelligence 834
Replace Virginia Klema with:
Virginia Klema United States
Victor Solo Australia
Anders Lindquist Sweden
N.K. Bose United States
M. Morf United States
P. Delsarte Belgium
Nira Dyn Israel
P. Dewilde Netherlands
J.A. Cadzow United States
W. Morven Gentleman Canada
Y. Kamp relative to Virginia Klema United States Virginia Klema's profile →
Citations per field
00.5×2.6×
Virginia Klema · 1×
Citations per year

Countries citing papers authored by Y. Kamp

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Auto-association by multilayer perceptrons and singular value decomposition
Hit paper breakdown →
1988978
2 1979209
3 1978178
4 1981128
5
Recursive neural networks for associative memory
1990117
6 1979116
7 199373
8 199472
9 197571
10 198549
11
Speech modelling and the trigonometric moment problem
198248
12 197533
13 197729
14 198028
15 198322
16 198521
17 198020
18 198319
19 198017
20 198514

About Y. Kamp

Y. Kamp is a scholar working on Computational Theory and Mathematics, Applied Mathematics, Signal Processing, Artificial Intelligence and Numerical Analysis, having authored 55 papers that have together received 2.4k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (24 papers), Mathematical functions and polynomials (7 papers), Speech and Audio Processing (6 papers), Blind Source Separation Techniques (6 papers), Digital Filter Design and Implementation (6 papers), Neural Networks and Applications (6 papers), Image and Signal Denoising Methods (6 papers) and Mathematical Analysis and Transform Methods (5 papers). The work is most often cited by research in Signal Processing (545 citations), Applied Mathematics (418 citations), Numerical Analysis (177 citations), Computational Theory and Mathematics (503 citations) and Artificial Intelligence (834 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, B. Dickinson, Steffen Pauws and J. Neirynck. Their work appears in journals such as IEEE Transactions on Information Theory, Electronics Letters, Proceedings of the IEEE, Speech Communication and SIAM Journal on Applied Mathematics.

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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