Peter Elbau

564 citations
21 papers · 374 · h-index 8

Impact in

  • Biophysics top 5%
    • Advanced Fluorescence Microscopy Techniques
    • Cell Image Analysis Techniques
    • Numerical methods in inverse problems

Papers in

Peter Elbau

18 papers receiving 352 citations

Peers

Peter Elbau
Comparison fields: 5 of 71
  • Biophysics 82
  • Mathematical Physics 80
  • Media Technology 54
  • Computer Vision and Pattern Recognition 98
  • Structural Biology 6
Replace Martin Ehler with:
Martin Ehler Austria
Muriel Roche France
Bernard Chalmond France
Saurav Basu United States
Arthur Goetschy France
Brigitte Forster Germany
Marc Allain France
Sangtae Ahn United States
Jeffery R. Price United States
Weiping Lu United Kingdom
Peter Elbau relative to Martin Ehler Austria Martin Ehler's profile →
Citations per field
00.5×2×2.9×
Martin Ehler · 1×
Citations per year

Countries citing papers authored by Peter Elbau

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 24 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.

Border = papers with Peter Elbau Line = papers co-authored together Peter Elbau links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009221
2 200542
3 201618
4 200813
5 201512
6 201112
7 201610
8 20169
9 20178
10 20145
11 20205
12 20155
13 20173
14 20233
15 20213
16 20222
17 20211
18 20231
19 20101
20 20160

About Peter Elbau

Peter Elbau is a scholar working on Mathematical Physics, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Applied Mathematics and Biophysics, having authored 21 papers that have together received 374 indexed citations. Recurring topics across this work include Photoacoustic and Ultrasonic Imaging (11 papers), Optical Coherence Tomography Applications (7 papers), Numerical methods in inverse problems (5 papers), Optical Imaging and Spectroscopy Techniques (4 papers), Image and Signal Denoising Methods (3 papers), Geometric Analysis and Curvature Flows (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and Composite Material Mechanics (2 papers). The work is most often cited by research in Biophysics (82 citations), Mathematical Physics (80 citations), Media Technology (54 citations), Computer Vision and Pattern Recognition (98 citations) and Structural Biology (6 citations). Peter Elbau has collaborated with scholars based in Austria, Germany and France. Frequent co-authors include Jérôme Boulanger, Charles Kervrann, Jean Salamero, Jean‐Baptiste Sibarita, Patrick Bouthémy, Otmar Scherzer, Giovanni Felder, Maarten V. de Hoop, Vinicius Albani and Bettina Heise. Their work appears in journals such as Numerical Functional Analysis and Optimization, Inverse Problems, Mathematics of Computation, Calculus of Variations and Partial Differential Equations and Mathematical Methods in the Applied 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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