Otmar Scherzer

178 papers receiving 4.8k citations

Otmar Scherzer's Hit Papers

Iterative Regularization Methods for Nonlinear Ill-Posed Problems 2008 · 455 citations
4550+10+20Years since publication100200300400

Peers

Otmar Scherzer
Comparison fields: 5 of 122
  • Mathematical Physics 2.8k
  • Numerical Analysis 452
  • Computational Mechanics 1.6k
  • Applied Mathematics 580
  • Computer Vision and Pattern Recognition 964
Replace Martin Hanke with:
Martin Hanke Germany
Heinz W. Engl Austria
Antonin Chambolle France
Rainer Kreß Germany
Frank Natterer Germany
Lothar Reichel United States
Daniela Calvetti United States
Alfred K. Louis Germany
Barbara Kaltenbacher Austria
Gregory Beylkin United States
Otmar Scherzer relative to Martin Hanke Germany Martin Hanke's profile →
Citations per field
00.5×1.5×
Martin Hanke · 1×
Citations per year

Countries citing papers authored by Otmar Scherzer

Since Specialization
Citations

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

Fields of papers citing papers by Otmar Scherzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 188 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Iterative Regularization Methods for Nonlinear Ill-Posed Problems
Hit paper breakdown →
2008455
2
A convergence analysis of the Landweber iteration for nonlinear ill-posed problems
Hit paper breakdown →
1995395
3 2008279
4 2010232
5 2007207
6 2001133
7 2008109
8 1995108
9 199399
10 200197
11 199397
12 200595
13 200092
14 199889
15 200488
16 200676
17 199473
18 200570
19 200767
20 200865

About Otmar Scherzer

Otmar Scherzer is a scholar working on Mathematical Physics, Biomedical Engineering, Computer Vision and Pattern Recognition, Computational Mechanics and Mechanics of Materials, having authored 188 papers that have together received 5.2k indexed citations. Recurring topics across this work include Numerical methods in inverse problems (86 papers), Photoacoustic and Ultrasonic Imaging (40 papers), Advanced Mathematical Modeling in Engineering (30 papers), Medical Image Segmentation Techniques (23 papers), Sparse and Compressive Sensing Techniques (22 papers), Image and Signal Denoising Methods (22 papers), Thermography and Photoacoustic Techniques (19 papers) and Statistical and numerical algorithms (18 papers). The work is most often cited by research in Mathematical Physics (2.8k citations), Numerical Analysis (452 citations), Computational Mechanics (1.6k citations), Applied Mathematics (580 citations) and Computer Vision and Pattern Recognition (964 citations). Otmar Scherzer has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Andreas B. Neubauer, Markus Haltmeier, Martin Hanke, Barbara Kaltenbacher, Markus Grasmair, Bernd Hofmann, Heinz W. Engl, Frank Lenzen, Christiane Pöschl and Harald Grossauer. Their work appears in journals such as Inverse Problems, SIAM Journal on Applied Mathematics, Numerical Functional Analysis and Optimization, Inverse Problems and Imaging and Journal of Mathematical Imaging and Vision.

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.

Explore authors with similar magnitude of impact