D.E. Van den Bout
- Hardware and Architecture top 5%
- Embedded Systems Design Techniques 6
- VLSI and Analog Circuit Testing 2
- Artificial Intelligence top 5%
- Neural Networks and Applications 8
- Signal Processing top 10%
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- VLSI and FPGA Design Techniques 5
- Advanced Memory and Neural Computing 2
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- Advanced Adaptive Filtering Techniques 2
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- Real-time simulation and control systems 2
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- Statistical Mechanics and Entropy 2
- Co-authors
- Thomas MillerGriff L. BilbroMark WhiteWesley E. SnyderR.C. MannDouglas S. ReevesS.H. ArdalanJ.K. Townsend
- Journals
- IEEE Transactions on Signal Processing (1 paper)IEEE Journal on Selected Areas in Communications (1 paper)Neural Computation (1 paper)
- Partner nations
- United States
In The Last Decade
D.E. Van den Bout
19 papers receiving 497 citations
Peers
Comparison fields: 5 of 67
- Hardware and Architecture 93
- Artificial Intelligence 315
- Computer Vision and Pattern Recognition 122
- Computer Networks and Communications 98
- Signal Processing 45
Countries citing papers authored by D.E. Van den Bout
This map shows the geographic impact of D.E. Van den Bout'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 D.E. Van den Bout with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.E. Van den Bout more than expected).
Fields of papers citing papers by D.E. Van den Bout
This network shows the impact of papers produced by D.E. Van den Bout. 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 D.E. Van den Bout. The network helps show where D.E. Van den Bout may publish in the future.
Co-authorship network
The 9 scholars most cited alongside D.E. Van den Bout, 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 | 2002 | 3 | |
| 2 | 2002 | 5 | |
| 3 | 2002 | 0 | |
| 4 | Fpga Workout: Beginning Exercises With the Intel Flexlogic Fpga | 2000 | 1 |
| 5 | The Practical Xilinx Designer Lab Book: Version 1.5 | 1999 | 1 |
| 6 | The Practical Xilinx Designer Lab Book | 1998 | 9 |
| 7 | 1993 | 4 | |
| 8 | 1992 | 42 | |
| 9 | 1992 | 38 | |
| 10 | 1992 | 11 | |
| 11 | The anyboard rapid prototyping environment | 1991 | 13 |
| 12 | Kohonen Networks and Clustering. | 1990 | 1 |
| 13 | Learning Theory and Experiments with Competitive Networks | 1990 | 0 |
| 14 | 1990 | 159 | |
| 15 | 1990 | 6 | |
| 16 | 1989 | 107 | |
| 17 | 1989 | 61 | |
| 18 | Optimization by Mean Field Annealing | 1988 | 76 |
| 19 | Image halftoning by mean field annealing | 1988 | 1 |
| 20 | 1987 | 2 |
About D.E. Van den Bout
D.E. Van den Bout is a scholar working on Hardware and Architecture, Signal Processing and Software, having authored 23 papers that have together received 552 indexed citations. Recurring topics across this work include Neural Networks and Applications (8 papers), Embedded Systems Design Techniques (6 papers), VLSI and FPGA Design Techniques (5 papers), Advanced Adaptive Filtering Techniques (2 papers), VLSI and Analog Circuit Testing (2 papers), Advanced Memory and Neural Computing (2 papers), Real-time simulation and control systems (2 papers) and Statistical Mechanics and Entropy (2 papers). The work is most often cited by research in Hardware and Architecture (93 citations), Artificial Intelligence (315 citations) and Computer Vision and Pattern Recognition (122 citations). D.E. Van den Bout has collaborated with scholars based in United States. Frequent co-authors include Thomas Miller, Griff L. Bilbro, Mark White, Wesley E. Snyder, R.C. Mann, Douglas S. Reeves, S.H. Ardalan, J.K. Townsend and Daniel Nissman. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Journal on Selected Areas in Communications and Neural Computation.
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.