Martin Welk

106 total papers · 1.5k total citations
32 papers, 495 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 495 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 Japan. Martin Welk's co-authors include Joachim Weickert, Pavel Mrázek⋆, Thomas Brox, Gabriele Steidl, Bernhard Burgeth, Andrés Bruhn, Irena Galić, Christian Feddern, Gabriele Steidl and Tongbo Chen 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 459 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Martin Welk 320 138 81 67 58 32 495
Jinsong Leng 180 0.6× 58 0.4× 40 0.5× 29 0.4× 56 1.0× 55 493
Rong Huang 239 0.7× 81 0.6× 53 0.7× 24 0.4× 16 0.3× 50 484
Tudor Barbu 406 1.3× 49 0.4× 19 0.2× 97 1.4× 34 0.6× 74 542
Omar El Ogri 402 1.3× 41 0.3× 35 0.4× 73 1.1× 14 0.2× 28 531
Gabriele Steidl 171 0.5× 109 0.8× 33 0.4× 38 0.6× 55 0.9× 41 454
Leah Bar 311 1.0× 145 1.1× 98 1.2× 134 2.0× 37 0.6× 22 508
Damiana Lazzaro 191 0.6× 234 1.7× 44 0.5× 51 0.8× 32 0.6× 32 509
Gaetano Zanghirati 163 0.5× 169 1.2× 44 0.5× 16 0.2× 47 0.8× 21 473
Mansoor Rezghi 158 0.5× 59 0.4× 16 0.2× 43 0.6× 22 0.4× 33 420
Luis Mazorra 372 1.2× 57 0.4× 23 0.3× 135 2.0× 21 0.4× 18 479

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

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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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