Peter Elbau
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Mathematical Physics top 10%
- Numerical methods in inverse problems
Papers in
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- Photoacoustic and Ultrasonic Imaging 9
- Optical Coherence Tomography Applications 5
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- Numerical methods in inverse problems 4
- Co-authors
- Jean‐Baptiste Sibarita (1 shared paper)Charles Kervrann (1 shared paper)Jean Salamero (1 shared paper)Patrick Bouthémy (1 shared paper)Jérôme Boulanger (1 shared paper)Giovanni Felder (1 shared paper)Otmar Scherzer (10 shared papers)Maarten V. de Hoop (2 shared papers)
In The Last Decade
Peter Elbau
14 papers receiving 292 citations
Peers
Comparison fields: 5 of 66
- Biophysics 73
- Mathematical Physics 64
- Media Technology 54
- Computer Vision and Pattern Recognition 84
- Structural Biology 4
Countries citing papers authored by Peter Elbau
This map shows the geographic impact of Peter Elbau'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 Peter Elbau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Elbau more than expected).
Fields of papers citing papers by Peter Elbau
This network shows the impact of papers produced by Peter Elbau. 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 Peter Elbau. The network helps show where Peter Elbau may publish in the future.
Co-authors
The 23 scholars most cited alongside Peter Elbau, 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 | 2009 | 203 | |
| 2 | 2005 | 33 | |
| 3 | 2016 | 14 | |
| 4 | 2016 | 10 | |
| 5 | 2015 | 10 | |
| 6 | 2008 | 10 | |
| 7 | 2017 | 7 | |
| 8 | 2016 | 7 | |
| 9 | 2020 | 6 | |
| 10 | 2015 | 5 | |
| 11 | 2023 | 3 | |
| 12 | 2017 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2010 | 1 | |
| 16 | 2023 | 0 | |
| 17 | 2016 | 0 |
About Peter Elbau
Peter Elbau is a scholar working on Biomedical Engineering, Mathematical Physics, Radiology, Nuclear Medicine and Imaging, Mechanics of Materials and Geometry and Topology, having authored 17 papers that have together received 314 indexed citations. Recurring topics across this work include Photoacoustic and Ultrasonic Imaging (9 papers), Optical Coherence Tomography Applications (5 papers), Numerical methods in inverse problems (4 papers), Optical Imaging and Spectroscopy Techniques (4 papers), Geometric Analysis and Curvature Flows (2 papers), Image and Signal Denoising Methods (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and Nonlinear Partial Differential Equations (2 papers). The work is most often cited by research in Biophysics (73 citations), Mathematical Physics (64 citations), Media Technology (54 citations), Computer Vision and Pattern Recognition (84 citations) and Structural Biology (4 citations). Peter Elbau has collaborated with scholars based in Austria, Germany and France. Frequent co-authors include Jean‐Baptiste Sibarita, Charles Kervrann, Jean Salamero, Patrick Bouthémy, Jérôme Boulanger, Giovanni Felder, Otmar Scherzer, Maarten V. de Hoop, Vinicius Albani and Lingyun Qiu. Their work appears in journals such as Numerical Functional Analysis and Optimization, Inverse Problems, IEEE Transactions on Medical Imaging, Mathematical Methods in the Applied Sciences 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.