Martin Welk
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 10%
- Radiology, Nuclear Medicine and Imaging
- Media Technology top 5%
- Mathematical Physics top 10%
- Co-authors
- Joachim WeickertPavel Mrázek⋆Gabriele SteidlThomas BroxBernhard BurgethAndrés BruhnIrena GalićMichael Backes
- Topics
- Image and Signal Denoising Methods (10 papers)Medical Image Segmentation Techniques (10 papers)Advanced Neuroimaging Techniques and Applications (6 papers)
In The Last Decade
Martin Welk
26 papers receiving 460 citations
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 319
- Computational Mechanics 138
- Radiology, Nuclear Medicine and Imaging 82
- Media Technology 67
- Mathematical Physics 58
Countries citing papers authored by Martin Welk
This map shows the geographic impact of Martin Welk'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 Martin Welk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Welk more than expected).
Fields of papers citing papers by Martin Welk
This network shows the impact of papers produced by Martin Welk. 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 Martin Welk. The network helps show where Martin Welk may publish in the future.
Co-authorship network of co-authors of Martin Welk
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Welk. A scholar is included among the top collaborators of Martin Welk 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 Martin Welk. Martin Welk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 7 | |
| 9 | 7 | |
| 10 | 31 | |
| 11 | 4 | |
| 12 | 27 | |
| 13 | 29 | |
| 14 | 2 | |
| 15 | 158 | |
| 16 | Median filtering of tensor-valued images | 3 |
| 17 | On Iterations and Scales of Nonlinear Filters | 10 |
| 18 | 2 | |
| 19 | 3 | |
| 20 | An Algorithm for Generalized Principal Curves with Adaptive Topology in Complex Data Sets | 1 |
About Martin Welk
Martin Welk is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Biophysics, having authored 32 papers that have together received 496 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (10 papers), Medical Image Segmentation Techniques (10 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). The work is most often cited by research in Computational Mathematics (14 citations), Computer Vision and Pattern Recognition (319 citations) and Media Technology (67 citations). Martin Welk has collaborated with scholars based in Germany, Austria and Israel. Frequent co-authors include Joachim Weickert, Pavel Mrázek⋆, Gabriele Steidl, Thomas Brox, Bernhard Burgeth, Andrés Bruhn, Irena Galić, Michael Backes, Hendrik P. A. Lensch and Tongbo Chen. Their work appears in journals such as International Journal of Computer Vision, SIAM Journal on Numerical Analysis and Signal Processing.
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.