Bernhard Burgeth
Impact in
- Computational Mathematics top 5%
-
- Medical Image Segmentation Techniques
- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Image Retrieval and Classification Techniques
- Advanced Vision and Imaging
Papers in
-
- Advanced Neuroimaging Techniques and Applications 9
- MRI in cancer diagnosis 5
- Radiomics and Machine Learning in Medical Imaging 3
-
- Medical Image Segmentation Techniques 12
- Co-authors
- Joachim Weickert (14 shared papers)Thomas Brox (1 shared paper)Pavel Mrázek⋆ (1 shared paper)Michael Krause (3 shared papers)Christoph Herrmann (1 shared paper)Walter Krenkel (1 shared paper)Stephan Didas (3 shared papers)Martin Welk (6 shared papers)
- Journals
- International Journal of Computer Vision (3 papers)Computing (2 papers)Image and Vision Computing (2 papers)Signal Processing (2 papers)Pattern Recognition Letters (1 paper)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Bernhard Burgeth
30 papers receiving 675 citations
Peers
Comparison fields: 5 of 97
- Computational Mathematics 27
- Computer Vision and Pattern Recognition 334
- Computer Graphics and Computer-Aided Design 38
- Radiology, Nuclear Medicine and Imaging 172
- Media Technology 74
Countries citing papers authored by Bernhard Burgeth
This map shows the geographic impact of Bernhard Burgeth'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 Bernhard Burgeth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernhard Burgeth more than expected).
Fields of papers citing papers by Bernhard Burgeth
This network shows the impact of papers produced by Bernhard Burgeth. 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 Bernhard Burgeth. The network helps show where Bernhard Burgeth may publish in the future.
Co-authors
The 25 scholars most cited alongside Bernhard Burgeth, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 164 | |
| 2 | 2009 | 134 | |
| 3 | 2009 | 58 | |
| 4 | 2013 | 34 | |
| 5 | 2006 | 29 | |
| 6 | 2006 | 27 | |
| 7 | 1992 | 27 | |
| 8 | 2019 | 22 | |
| 9 | 2009 | 22 | |
| 10 | 2009 | 20 | |
| 11 | 2014 | 20 | |
| 12 | 2013 | 16 | |
| 13 | 2011 | 16 | |
| 14 | 2014 | 16 | |
| 15 | 2007 | 15 | |
| 16 | 2010 | 14 | |
| 17 | 2013 | 14 | |
| 18 | 2006 | 14 | |
| 19 | 2006 | 13 | |
| 20 | 2005 | 8 |
About Bernhard Burgeth
Bernhard Burgeth is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence and Mathematical Physics, having authored 31 papers that have together received 714 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (12 papers), Advanced Neuroimaging Techniques and Applications (9 papers), MRI in cancer diagnosis (5 papers), AI in cancer detection (4 papers), Numerical methods in inverse problems (3 papers), Sparse and Compressive Sensing Techniques (3 papers), 3D Shape Modeling and Analysis (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Computational Mathematics (27 citations), Computer Vision and Pattern Recognition (334 citations), Computer Graphics and Computer-Aided Design (38 citations), Radiology, Nuclear Medicine and Imaging (172 citations) and Media Technology (74 citations). Bernhard Burgeth has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Joachim Weickert, Thomas Brox, Pavel Mrázek⋆, Michael Krause, Christoph Herrmann, Walter Krenkel, Stephan Didas, Martin Welk, Christian Feddern and Andreas Kleefeld. Their work appears in journals such as International Journal of Computer Vision, Computing, Image and Vision Computing, Signal Processing and Pattern Recognition Letters.
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.