Martin Welk

1.5k total citations
32 papers, 496 citations indexed

About

Martin Welk is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Computational Mechanics. According to data from OpenAlex, Martin Welk has authored 32 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 9 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Computational Mechanics. Recurrent topics in Martin Welk's work include Image and Signal Denoising Methods (10 papers), Medical Image Segmentation Techniques (10 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Martin Welk is often cited by papers focused on Image and Signal Denoising Methods (10 papers), Medical Image Segmentation Techniques (10 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Martin Welk collaborates with scholars based in Germany, Austria and Israel. Martin Welk's co-authors include Joachim Weickert, Pavel Mrázek⋆, Thomas Brox, Gabriele Steidl, Bernhard Burgeth, Andrés Bruhn, Irena Galić, Christian Feddern, Hendrik P. A. Lensch and Michael Backes and has published in prestigious journals such as International Journal of Computer Vision, SIAM Journal on Numerical Analysis and Signal Processing.

In The Last Decade

Martin Welk

26 papers receiving 460 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Martin Welk Germany 11 319 138 82 67 58 32 496
Sébastien Bougleux France 9 392 1.2× 126 0.9× 53 0.6× 101 1.5× 42 0.7× 19 592
Amel Benazza‐Benyahia Tunisia 12 407 1.3× 132 1.0× 86 1.0× 110 1.6× 22 0.4× 79 629
Mohamed Yamni Morocco 20 655 2.1× 62 0.4× 30 0.4× 87 1.3× 28 0.5× 39 808
Gabriele Steidl Germany 14 174 0.5× 111 0.8× 32 0.4× 40 0.6× 53 0.9× 41 455
Leah Bar Israel 11 312 1.0× 145 1.1× 98 1.2× 134 2.0× 37 0.6× 22 510
Omar El Ogri Morocco 14 405 1.3× 41 0.3× 35 0.4× 74 1.1× 14 0.2× 28 541
Gaetano Zanghirati Italy 8 162 0.5× 169 1.2× 44 0.5× 16 0.2× 47 0.8× 21 474
João Oliveira Portugal 8 468 1.5× 242 1.8× 51 0.6× 191 2.9× 35 0.6× 19 678
Ajil Jalal United States 5 153 0.5× 148 1.1× 98 1.2× 33 0.5× 26 0.4× 13 448

Countries citing papers authored by Martin Welk

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Welk, Martin, et al.. (2025). Head and Neck Tumor Segmentation on MRIs with Fast and Resource-Efficient Staged nnU-Nets. Lecture notes in computer science. 15273. 87–98.
2.
Welk, Martin, et al.. (2022). Towards Quality Assessment of Blind Deconvolution with Shift Compensation. 2022 26th International Conference on Pattern Recognition (ICPR). 7. 421–427. 1 indexed citations
3.
Welk, Martin, et al.. (2022). Tackling the class imbalance problem of deep learning-based head and neck organ segmentation. International Journal of Computer Assisted Radiology and Surgery. 17(11). 2103–2111. 11 indexed citations
4.
Fritscher, Karl, et al.. (2020). Training of head and neck segmentation networks with shape prior on small datasets. International Journal of Computer Assisted Radiology and Surgery. 15(9). 1417–1425. 8 indexed citations
5.
Welk, Martin, Joachim Weickert, & Guy Gilboa. (2018). A Discrete Theory and Efficient Algorithms for Forward-and-Backward Diffusion Filtering. Journal of Mathematical Imaging and Vision. 60(9). 1399–1426. 1 indexed citations
6.
Welk, Martin, et al.. (2013). Enhancing 3-D cell structures in confocal and STED microscopy: a joint model for interpolation, deblurring and anisotropic smoothing. Measurement Science and Technology. 24(12). 125703–125703. 7 indexed citations
7.
Hanaoka, Shouhei, Karl Fritscher, Martin Welk, et al.. (2011). 3-D Graph Cut Segmentation with Riemannian Metrics to Avoid the Shrinking Problem. Lecture notes in computer science. 14(Pt 3). 554–561. 7 indexed citations
8.
Backes, Michael, et al.. (2009). Tempest in a Teapot: Compromising Reflections Revisited. 315–327. 66 indexed citations
9.
Welk, Martin, Gabriele Steidl, & Joachim Weickert. (2007). Locally analytic schemes: A link between diffusion filtering and wavelet shrinkage. Applied and Computational Harmonic Analysis. 24(2). 195–224. 31 indexed citations
10.
Breuß, Michael & Martin Welk. (2006). Staircasing in semidiscrete stabilised inverse linear diffusion algorithms. Journal of Computational and Applied Mathematics. 206(1). 520–533. 4 indexed citations
11.
Welk, Martin, Joachim Weickert, Florian Becker, et al.. (2006). Median and related local filters for tensor-valued images. Signal Processing. 87(2). 291–308. 27 indexed citations
12.
Feddern, Christian, Joachim Weickert, Bernhard Burgeth, & Martin Welk. (2006). Curvature-Driven PDE Methods for Matrix-Valued Images. International Journal of Computer Vision. 69(1). 93–107. 29 indexed citations
13.
Löbler, Helge, Thorsten Posselt, & Martin Welk. (2006). Optimal compensation rules for integrated services. OR Spectrum. 28(3). 355–373. 2 indexed citations
14.
Burgeth, Bernhard, Andrés Bruhn, Stephan Didas, Joachim Weickert, & Martin Welk. (2006). Morphology for matrix data: Ordering versus PDE-based approach. Image and Vision Computing. 25(4). 496–511. 13 indexed citations
15.
Burgeth, Bernhard, Nils Papenberg, Andrés Bruhn, Martin Welk, & Joachim Weickert. (2005). Mathematical morphology for tensor data induced by the Loewner orderingin higher dimensions. Publications of the UdS (Saarland University). 2 indexed citations
16.
Steidl, Gabriele, Joachim Weickert, Thomas Brox, Pavel Mrázek⋆, & Martin Welk. (2004). On the Equivalence of Soft Wavelet Shrinkage, Total Variation Diffusion, Total Variation Regularization, and SIDEs. SIAM Journal on Numerical Analysis. 42(2). 686–713. 158 indexed citations
17.
Welk, Martin, Christian Feddern, Bernhard Burgeth, & Joachim Weickert. (2003). Median filtering of tensor-valued images. 3 indexed citations
18.
Mrázek⋆, Pavel, Joachim Weickert, Gabriele Steidl, & Martin Welk. (2003). On Iterations and Scales of Nonlinear Filters. 10 indexed citations
19.
Welk, Martin. (2000). Differential calculus on quantum projective spaces. Czechoslovak Journal of Physics. 50(1). 219–224. 2 indexed citations
20.
Der, Ralf, et al.. (1997). An Algorithm for Generalized Principal Curves with Adaptive Topology in Complex Data Sets. Qucosa (Saxon State and University Library Dresden). 1 indexed citations

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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