Bernhard Burgeth
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Mechanics of Materials
- Computational Mechanics top 10%
- Media Technology top 5%
- Co-authors
- Joachim WeickertPavel Mrázek⋆Thomas BroxMichael KrauseChristoph HerrmannWalter KrenkelStephan DidasMartin Welk
- Topics
- Medical Image Segmentation Techniques (12 papers)Advanced Neuroimaging Techniques and Applications (9 papers)MRI in cancer diagnosis (5 papers)
- Cited by
- Computational MathematicsComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of CancerJournal of Materials Science
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Bernhard Burgeth
30 papers receiving 670 citations
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 336
- Radiology, Nuclear Medicine and Imaging 189
- Mechanics of Materials 79
- Computational Mechanics 79
- 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-authorship network of co-authors of Bernhard Burgeth
This figure shows the co-authorship network connecting the top 25 collaborators of Bernhard Burgeth. A scholar is included among the top collaborators of Bernhard Burgeth based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bernhard Burgeth. Bernhard Burgeth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 20 | |
| 5 | 8 | |
| 6 | 14 | |
| 7 | 34 | |
| 8 | 16 | |
| 9 | 14 | |
| 10 | 19 | |
| 11 | 58 | |
| 12 | 2 | |
| 13 | 134 | |
| 14 | 22 | |
| 15 | 4 | |
| 16 | 27 | |
| 17 | 29 | |
| 18 | 8 | |
| 19 | 165 | |
| 20 | Median filtering of tensor-valued images | 3 |
About Bernhard Burgeth
Bernhard Burgeth is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 31 papers that have together received 712 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (12 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and MRI in cancer diagnosis (5 papers). The work is most often cited by research in Computational Mathematics (26 citations), Computer Vision and Pattern Recognition (336 citations) and Computer Graphics and Computer-Aided Design (38 citations). Bernhard Burgeth has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Joachim Weickert, Pavel Mrázek⋆, Thomas Brox, Michael Krause, Christoph Herrmann, Walter Krenkel, Stephan Didas, Martin Welk, Christian Feddern and Andreas Kleefeld. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Cancer and Journal of Materials Science.
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.