Otmar Scherzer
Impact in
- Mathematical Physics top 0.1%
- Numerical methods in inverse problems
- Numerical Analysis top 1%
Papers in
-
- Numerical methods in inverse problems 85
-
- Medical Image Segmentation Techniques 24
- Image and Signal Denoising Methods 22
- Co-authors
- Andreas B. NeubauerMarkus HaltmeierMartin HankeBarbara KaltenbacherMarkus GrasmairBernd HofmannHeinz W. EnglFrank Lenzen
- Journals
- Inverse Problems (22 papers)SIAM Journal on Applied Mathematics (10 papers)Numerical Functional Analysis and Optimization (10 papers)Journal of Mathematical Imaging and Vision (7 papers)Inverse Problems and Imaging (7 papers)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Otmar Scherzer
176 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Mathematical Physics 2.7k
- Numerical Analysis 456
- Computational Mechanics 1.6k
- Applied Mathematics 573
- Computer Vision and Pattern Recognition 977
Countries citing papers authored by Otmar Scherzer
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 1 | |
| 6 | 2021 | 12 | |
| 7 | 2020 | 5 | |
| 8 | 2020 | 6 | |
| 9 | 2020 | 12 | |
| 10 | Reciprocity-gap misfit functional for Distributed Acoustic Sensing, combining teleseismic and exploration data | 2020 | 1 |
| 11 | 2018 | 7 | |
| 12 | 2017 | 7 | |
| 13 | Photoacoustic tomography with spatially varying compressibility and density | 2016 | 2 |
| 14 | 2011 | 17 | |
| 15 | Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications | 2007 | 1 |
| 16 | Mathematical Models for Registration and Applications to Medical Imaging (Mathematics in Industry / The European Consortium for Mathematics in Industry) | 2006 | 5 |
| 17 | 2005 | 4 | |
| 18 | Inverse problems, image analysis, and medical imaging : AMS Special Session on Interaction of Inverse Problems and Image Analysis, January 10-13, 2001, New Orleans, Louisiana | 2002 | 2 |
| 19 | 2002 | 46 | |
| 20 | 2001 | 97 |
About Otmar Scherzer
Otmar Scherzer is a scholar working on Mathematical Physics, Computer Vision and Pattern Recognition, Applied Mathematics, Computational Theory and Mathematics and Computational Mechanics, having authored 185 papers that have together received 5.2k indexed citations. Recurring topics across this work include Numerical methods in inverse problems (85 papers), Photoacoustic and Ultrasonic Imaging (40 papers), Advanced Mathematical Modeling in Engineering (30 papers), Medical Image Segmentation Techniques (24 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 (17 papers). The work is most often cited by research in Mathematical Physics (2.7k citations), Numerical Analysis (456 citations), Computational Mechanics (1.6k citations), Applied Mathematics (573 citations) and Computer Vision and Pattern Recognition (977 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, Journal of Mathematical Imaging and Vision and Inverse Problems and Imaging.
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.