Ronny Bergmann
Impact in
- Numerical Analysis top 10%
- Advanced Optimization Algorithms Research
Papers in
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- Image and Signal Denoising Methods 7
- Medical Image Segmentation Techniques 5
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- Advanced Numerical Analysis Techniques 7
- 3D Shape Modeling and Analysis 4
- Sparse and Compressive Sensing Techniques 3
- Co-authors
- Gabriele Steidl (5 shared papers)Andreas Weinmann (3 shared papers)Roland Herzog (10 shared papers)Miroslav Bačák (1 shared paper)Ralf Hielscher (1 shared paper)Raymond H. Chan (1 shared paper)Jürgen Prestin (2 shared papers)Roland Schwarzer (2 shared papers)
In The Last Decade
Ronny Bergmann
29 papers receiving 270 citations
Peers
Comparison fields: 5 of 63
- Numerical Analysis 50
- Computational Mathematics 3
- Computer Vision and Pattern Recognition 78
- Structural Biology 5
- Mathematical Physics 31
Countries citing papers authored by Ronny Bergmann
This map shows the geographic impact of Ronny Bergmann'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 Ronny Bergmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronny Bergmann more than expected).
Fields of papers citing papers by Ronny Bergmann
This network shows the impact of papers produced by Ronny Bergmann. 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 Ronny Bergmann. The network helps show where Ronny Bergmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Ronny Bergmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 53 | |
| 2 | 2016 | 50 | |
| 3 | 2019 | 30 | |
| 4 | 2014 | 25 | |
| 5 | 2022 | 17 | |
| 6 | 2019 | 14 | |
| 7 | 2012 | 9 | |
| 8 | 2021 | 8 | |
| 9 | 1979 | 8 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2019 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2014 | 5 | |
| 15 | 2017 | 5 | |
| 16 | 2015 | 5 | |
| 17 | 2017 | 5 | |
| 18 | 2014 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2023 | 3 |
About Ronny Bergmann
Ronny Bergmann is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Applied Mathematics, Mathematical Physics and Computational Theory and Mathematics, having authored 30 papers that have together received 284 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (7 papers), Advanced Numerical Analysis Techniques (7 papers), Medical Image Segmentation Techniques (5 papers), Numerical methods in inverse problems (4 papers), 3D Shape Modeling and Analysis (4 papers), Sparse and Compressive Sensing Techniques (3 papers), Advanced Optimization Algorithms Research (3 papers) and Optimization and Variational Analysis (3 papers). The work is most often cited by research in Numerical Analysis (50 citations), Computational Mathematics (3 citations), Computer Vision and Pattern Recognition (78 citations), Structural Biology (5 citations) and Mathematical Physics (31 citations). Ronny Bergmann has collaborated with scholars based in Germany, Norway and Spain. Frequent co-authors include Gabriele Steidl, Andreas Weinmann, Roland Herzog, Miroslav Bačák, Ralf Hielscher, Raymond H. Chan, Jürgen Prestin, Roland Schwarzer, Ralf Zimmermann and Matthias A. Schade. Their work appears in journals such as SIAM Journal on Scientific Computing, SIAM Journal on Imaging Sciences, Journal of Optimization Theory and Applications, SIAM Journal on Optimization 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.