Andreas Weinmann
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- Image and Signal Denoising Methods 9
- Medical Image Segmentation Techniques 8
- Computational Mechanics top 5%
- Sparse and Compressive Sensing Techniques 8
- Advanced Numerical Analysis Techniques 5
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- Numerical methods in inverse problems 4
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- Characterization and Applications of Magnetic Nanoparticles 10
- Microfluidic and Bio-sensing Technologies 4
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- Geomagnetism and Paleomagnetism Studies 9
- Co-authors
- Martin StorathLaurent DemaretRonny BergmannGabriele SteidlMiroslav BačákMichaël UnserJohannes SalamonTobias Knopp
- Journals
- IEEE Transactions on Image Processing (4 papers)SIAM Journal on Imaging Sciences (4 papers)IEEE Transactions on Medical Imaging (3 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Andreas Weinmann
44 papers receiving 481 citations
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 209
- Computational Mechanics 170
- Computational Mathematics 3
- Mathematical Physics 40
- Computer Graphics and Computer-Aided Design 15
Countries citing papers authored by Andreas Weinmann
This map shows the geographic impact of Andreas Weinmann'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 Weinmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Weinmann more than expected).
Fields of papers citing papers by Andreas Weinmann
This network shows the impact of papers produced by Andreas Weinmann. 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 Weinmann. The network helps show where Andreas Weinmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andreas Weinmann, 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 | 2026 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 2 | |
| 7 | 2025 | 0 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 0 | |
| 12 | 2024 | 2 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 2 | |
| 15 | 2020 | 0 | |
| 16 | 2019 | 10 | |
| 17 | 2019 | 4 | |
| 18 | 2016 | 44 | |
| 19 | 2011 | 3 | |
| 20 | 2010 | 16 |
About Andreas Weinmann
Andreas Weinmann is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition, Computational Mechanics, Mathematical Physics and Geometry and Topology, having authored 55 papers that have together received 513 indexed citations. Recurring topics across this work include Characterization and Applications of Magnetic Nanoparticles (10 papers), Geomagnetism and Paleomagnetism Studies (9 papers), Image and Signal Denoising Methods (9 papers), Sparse and Compressive Sensing Techniques (8 papers), Medical Image Segmentation Techniques (8 papers), Advanced Numerical Analysis Techniques (5 papers), Numerical methods in inverse problems (4 papers) and Microfluidic and Bio-sensing Technologies (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (209 citations), Computational Mechanics (170 citations), Computational Mathematics (3 citations), Mathematical Physics (40 citations) and Computer Graphics and Computer-Aided Design (15 citations). Andreas Weinmann has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Martin Storath, Laurent Demaret, Ronny Bergmann, Gabriele Steidl, Miroslav Bačák, Michaël Unser, Johannes Salamon, Tobias Knopp, Alexander Weber and Martin Hofmann. Their work appears in journals such as IEEE Transactions on Image Processing, SIAM Journal on Imaging Sciences, IEEE Transactions on Medical Imaging, SIAM Journal on Scientific Computing and Physics in Medicine and Biology.
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.