Mark Iwen

47 papers receiving 843 citations

Peers

Mark Iwen
Comparison fields: 5 of 74
  • Computational Mathematics 37
  • Computational Mechanics 516
  • Signal Processing 229
  • Computer Vision and Pattern Recognition 246
  • Structural Biology 16
Replace Ke Wei with:
Ke Wei China
Samet Oymak United States
Nicolas Boumal United States
Felix Krahmer Germany
Wenjing Liao United States
Mojtaba Soltanalian United States
Gabriele Steidl Germany
Roummel F. Marcia United States
Philipp Grohs Austria
Alyson K. Fletcher United States
Mark Iwen relative to Ke Wei China Ke Wei's profile →
Citations per field
00.5×3.2×
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Citations per year

Countries citing papers authored by Mark Iwen

Since Specialization
Citations

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

Fields of papers citing papers by Mark Iwen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Iwen, 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 Mark Iwen Line = papers co-authored together Mark Iwen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006173
2 2014114
3 201091
4 200870
5 201545
6 201243
7 201634
8 200931
9 200730
10 201629
11 201228
12 201317
13 201815
14 200913
15 201213
16 200912
17 201211
18 200311
19 201211
20 200810

About Mark Iwen

Mark Iwen is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Radiation, Artificial Intelligence and Signal Processing, having authored 57 papers that have together received 900 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (34 papers), Advanced X-ray Imaging Techniques (11 papers), Image and Signal Denoising Methods (10 papers), Blind Source Separation Techniques (8 papers), Tensor decomposition and applications (7 papers), Mathematical Analysis and Transform Methods (6 papers), Mathematical Approximation and Integration (5 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). The work is most often cited by research in Computational Mathematics (37 citations), Computational Mechanics (516 citations), Signal Processing (229 citations), Computer Vision and Pattern Recognition (246 citations) and Structural Biology (16 citations). Mark Iwen has collaborated with scholars based in United States, Germany and Hong Kong. Frequent co-authors include Anna C. Gilbert, Martin J. Strauss, Piotr Indyk, Ludwig Schmidt, Yang Wang, Richard G. Baraniuk, Sami Kirolos, Jason N. Laska, Yehia Massoud and Ahmed H. Tewfik. Their work appears in journals such as Applied and Computational Harmonic Analysis, Journal of Fourier Analysis and Applications, SIAM Journal on Matrix Analysis and Applications, Advances in Computational Mathematics and SIAM Journal on Imaging Sciences.

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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