W. Mecklenbräuker
- Signal Processing top 1%
- Computational Mechanics top 2%
- Computer Vision and Pattern Recognition top 2%
- Control and Systems Engineering top 5%
- Electrical and Electronic Engineering
- Co-authors
- T. ClaasenR. MersereauJoshua PeekFranz HlawatschThomas F. QuatieriA. OppenheimP. Van GerwenHelmut Essen
- Topics
- Digital Filter Design and Implementation (14 papers)Advanced Adaptive Filtering Techniques (11 papers)Image and Signal Denoising Methods (8 papers)
- Journals
- IEEE Transactions on Signal ProcessingIEEE Communications MagazineIEEE Transactions on Microwave Theory and Techniques
- Partner nations
- NetherlandsFinlandAustria
In The Last Decade
W. Mecklenbräuker
29 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 73
- Signal Processing 756
- Computational Mechanics 442
- Computer Vision and Pattern Recognition 407
- Control and Systems Engineering 273
- Electrical and Electronic Engineering 262
Countries citing papers authored by W. Mecklenbräuker
This map shows the geographic impact of W. Mecklenbräuker'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. Mecklenbräuker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Mecklenbräuker more than expected).
Fields of papers citing papers by W. Mecklenbräuker
This network shows the impact of papers produced by W. Mecklenbräuker. 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. Mecklenbräuker. The network helps show where W. Mecklenbräuker may publish in the future.
Co-authorship network of co-authors of W. Mecklenbräuker
This figure shows the co-authorship network connecting the top 25 collaborators of W. Mecklenbräuker. A scholar is included among the top collaborators of W. Mecklenbräuker based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with W. Mecklenbräuker. W. Mecklenbräuker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Design of 3-D FIR digital filters using integral squared error criterion and transformation method | 0 |
| 2 | 5 | |
| 3 | 9 | |
| 4 | 9 | |
| 5 | 3 | |
| 6 | The Wigner distribution : theory and applications in signal processing | 162 |
| 7 | 0 | |
| 8 | 14 | |
| 9 | 87 | |
| 10 | 95 | |
| 11 | 55 | |
| 12 | 147 | |
| 13 | 171 | |
| 14 | 81 | |
| 15 | 31 | |
| 16 | 56 | |
| 17 | 13 | |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 0 |
About W. Mecklenbräuker
W. Mecklenbräuker is a scholar working on Signal Processing, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (14 papers), Advanced Adaptive Filtering Techniques (11 papers) and Image and Signal Denoising Methods (8 papers). The work is most often cited by research in Signal Processing (756 citations), Computational Mechanics (442 citations) and Computer Vision and Pattern Recognition (407 citations). W. Mecklenbräuker has collaborated with scholars based in Netherlands, Finland and Austria. Frequent co-authors include T. Claasen, R. Mersereau, Joshua Peek, Franz Hlawatsch, Thomas F. Quatieri, A. Oppenheim, P. Van Gerwen, Helmut Essen and T. Rozzi. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Communications Magazine and IEEE Transactions on Microwave Theory and Techniques.
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.