Martin Bergtholdt
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Surgery
- Pathology and Forensic Medicine
- Co-authors
- Christoph SchnörrJörg Hendrik KappesStefan SchmidtRafael WiemkerVladimír PekarSebastian P. M. DriesTobias KlinderThomas Bülow
- Topics
- Medical Image Segmentation Techniques (8 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)Lung Cancer Diagnosis and Treatment (4 papers)
- Journals
- International Journal of Computer VisionNeurobiology of AgingIEEE Transactions on Visualization and Computer Graphics
- Partner nations
- GermanyUnited StatesFinland
In The Last Decade
Martin Bergtholdt
16 papers receiving 255 citations
Peers
Comparison fields: 5 of 49
- Biomedical Engineering 109
- Computer Vision and Pattern Recognition 104
- Radiology, Nuclear Medicine and Imaging 66
- Surgery 57
- Pathology and Forensic Medicine 54
Countries citing papers authored by Martin Bergtholdt
This map shows the geographic impact of Martin Bergtholdt'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 Martin Bergtholdt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Bergtholdt more than expected).
Fields of papers citing papers by Martin Bergtholdt
This network shows the impact of papers produced by Martin Bergtholdt. 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 Martin Bergtholdt. The network helps show where Martin Bergtholdt may publish in the future.
Co-authorship network of co-authors of Martin Bergtholdt
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Bergtholdt. A scholar is included among the top collaborators of Martin Bergtholdt 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 Martin Bergtholdt. Martin Bergtholdt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 10 | |
| 3 | 6 | |
| 4 | 22 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 27 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 10 | |
| 15 | 3 | |
| 16 | 76 | |
| 17 | 90 |
About Martin Bergtholdt
Martin Bergtholdt is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 262 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (8 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Lung Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Oral Surgery (44 citations), Computer Vision and Pattern Recognition (104 citations) and Pathology and Forensic Medicine (54 citations). Martin Bergtholdt has collaborated with scholars based in Germany, United States and Finland. Frequent co-authors include Christoph Schnörr, Jörg Hendrik Kappes, Stefan Schmidt, Rafael Wiemker, Vladimír Pekar, Sebastian P. M. Dries, Tobias Klinder, Thomas Bülow, Ingwer C. Carlsen and Sven Kabus. Their work appears in journals such as International Journal of Computer Vision, Neurobiology of Aging and IEEE Transactions on Visualization and Computer Graphics.
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.