W. Steenaart

612 citations
48 papers · 418 · h-index 12

Impact in

Papers in

W. Steenaart

44 papers receiving 383 citations

Peers

W. Steenaart
Comparison fields: 5 of 41
  • Signal Processing 204
  • Computer Vision and Pattern Recognition 149
  • Computational Mechanics 109
  • Applied Mathematics 43
  • Electrical and Electronic Engineering 178
Replace Y.-C. Jenq with:
Y.-C. Jenq United States
Andrzej Tarczynski United Kingdom
Heinz G. Göckler Germany
Nguyen T. Thao United States
J.G. McWhirter United Kingdom
B. Lacaze France
A. Deczky Canada
A.G.J. Holt United Kingdom
R. Venkataramani United States
Jeffrey D. Blanchard United States
W. Steenaart relative to Y.-C. Jenq United States Y.-C. Jenq's profile →
Citations per field
00.5×1.5×2.5×
Y.-C. Jenq · 1×
Citations per year

Countries citing papers authored by W. Steenaart

Since Specialization
Citations

This map shows the geographic impact of W. Steenaart'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 W. Steenaart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Steenaart more than expected).

Fields of papers citing papers by W. Steenaart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. Steenaart. 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 W. Steenaart. The network helps show where W. Steenaart may publish in the future.

Co-authors

The 13 scholars most cited alongside W. Steenaart, 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 W. Steenaart Line = papers co-authored together W. Steenaart links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197875
2 198946
3 196332
4 199224
5 198920
6 200217
7 197717
8 197715
9 197214
10 198814
11 198813
12 200212
13 197411
14 198211
15 19809
16 19739
17 19808
18 19848
19 19965
20 19895

About W. Steenaart

W. Steenaart is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics, Electrical and Electronic Engineering and Computational Theory and Mathematics, having authored 48 papers that have together received 418 indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (23 papers), Advanced Adaptive Filtering Techniques (17 papers), Image and Signal Denoising Methods (16 papers), Blind Source Separation Techniques (6 papers), Speech and Audio Processing (5 papers), Advanced Data Compression Techniques (5 papers), Numerical Methods and Algorithms (5 papers) and Analog and Mixed-Signal Circuit Design (3 papers). The work is most often cited by research in Signal Processing (204 citations), Computer Vision and Pattern Recognition (149 citations), Computational Mechanics (109 citations), Applied Mathematics (43 citations) and Electrical and Electronic Engineering (178 citations). W. Steenaart has collaborated with scholars based in Canada and United States. Frequent co-authors include Merav Sabri, T. Aboulnasr, J.‐A. Beraldin, Michel Rossi, Daniel M. Dubois, R. Raut, G.I. Costache, Keith Brown, Ahmed Ibrahim and K. Feher. Their work appears in journals such as IEEE Transactions on Microwave Theory and Techniques, IEEE Transactions on Circuits and Systems, Journal of Lightwave Technology, IEEE Transactions on Electromagnetic Compatibility and Proceedings of the IEEE.

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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