Andreas Rieder

60 papers receiving 1.1k citations

Peers

Andreas Rieder
Comparison fields: 5 of 85
  • Mathematical Physics 542
  • Applied Mathematics 184
  • Geophysics 216
  • Computer Vision and Pattern Recognition 250
  • Computational Mechanics 245
Replace Ronny Ramlau with:
Ronny Ramlau Austria
Serena Morigi Italy
В. А. Морозов Russia
Bo Han China
Gerd Teschke Germany
Rosemary A. Renaut United States
A. S. Leonov Russia
Bradley J. Lucier United States
Alfred S. Carasso United States
L. Landweber United States
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Citations per field
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Citations per year

Countries citing papers authored by Andreas Rieder

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Rieder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Wavelets: Theory and Applications
1997138
2 1999105
3 198993
4 202160
5 200854
6 200354
7 200151
8 200641
9 199738
10 200537
11 200933
12 199425
13 201125
14 200024
15 200524
16 200322
17 199822
18 200422
19 200821
20 201420

About Andreas Rieder

Andreas Rieder is a scholar working on Mathematical Physics, Geophysics, Computer Vision and Pattern Recognition, Applied Mathematics and Electrical and Electronic Engineering, having authored 64 papers that have together received 1.2k indexed citations. Recurring topics across this work include Numerical methods in inverse problems (27 papers), Seismic Imaging and Inversion Techniques (18 papers), Image and Signal Denoising Methods (15 papers), Medical Imaging Techniques and Applications (9 papers), Mathematical Analysis and Transform Methods (9 papers), Electrical and Bioimpedance Tomography (8 papers), Advanced Mathematical Modeling in Engineering (7 papers) and Sparse and Compressive Sensing Techniques (6 papers). The work is most often cited by research in Mathematical Physics (542 citations), Applied Mathematics (184 citations), Geophysics (216 citations), Computer Vision and Pattern Recognition (250 citations) and Computational Mechanics (245 citations). Andreas Rieder has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Alfred K. Louis, Peter Maaß, Armin Lechleiter, Thomas Schuster, Andreas Kirsch, Eric Todd Quinto, Xiaodong Zhou, Michael Traugott, Bettina Thalinger and Thorsten Schwerte. Their work appears in journals such as Inverse Problems, Numerische Mathematik, Mathematical Methods in the Applied Sciences, SIAM Journal on Numerical Analysis 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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