Jens von Berg
- Radiology, Nuclear Medicine and Imaging top 2%
- Biomedical Engineering top 10%
- Computer Vision and Pattern Recognition top 2%
- Radiation top 2%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Christian D. LorenzCristian LorenzJürgen WeeseSven KabusPaul KeallTokihiro YamamotoOlivier EcabertMatthew Walker
- Topics
- Medical Image Segmentation Techniques (17 papers)Medical Imaging Techniques and Applications (16 papers)Medical Imaging and Analysis (12 papers)
- Partner nations
- GermanyUnited StatesFinland
In The Last Decade
Jens von Berg
50 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 102
- Radiology, Nuclear Medicine and Imaging 798
- Biomedical Engineering 474
- Computer Vision and Pattern Recognition 453
- Radiation 345
- Pulmonary and Respiratory Medicine 322
Countries citing papers authored by Jens von Berg
This map shows the geographic impact of Jens von Berg'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 Jens von Berg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jens von Berg more than expected).
Fields of papers citing papers by Jens von Berg
This network shows the impact of papers produced by Jens von Berg. 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 Jens von Berg. The network helps show where Jens von Berg may publish in the future.
Co-authorship network of co-authors of Jens von Berg
This figure shows the co-authorship network connecting the top 25 collaborators of Jens von Berg. A scholar is included among the top collaborators of Jens von Berg 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 Jens von Berg. Jens von Berg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 50 | |
| 2 | A Novel Approach to Handle Inference in Discrete Markov Networks with Large Label Sets | 1 |
| 3 | 2 | |
| 4 | 19 | |
| 5 | 52 | |
| 6 | 2 | |
| 7 | 64 | |
| 8 | 86 | |
| 9 | 44 | |
| 10 | 265 | |
| 11 | 33 | |
| 12 | 33 | |
| 13 | 1 | |
| 14 | 87 | |
| 15 | 12 | |
| 16 | 182 | |
| 17 | 30 | |
| 18 | 3 | |
| 19 | 5 | |
| 20 | 25 |
About Jens von Berg
Jens von Berg is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 51 papers that have together received 1.4k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (17 papers), Medical Imaging Techniques and Applications (16 papers) and Medical Imaging and Analysis (12 papers). The work is most often cited by research in Radiation (345 citations), Radiology, Nuclear Medicine and Imaging (798 citations) and Computer Vision and Pattern Recognition (453 citations). Jens von Berg has collaborated with scholars based in Germany, United States and Finland. Frequent co-authors include Christian D. Lorenz, Cristian Lorenz, Jürgen Weese, Sven Kabus, Paul Keall, Tokihiro Yamamoto, Olivier Ecabert, Matthew Walker, Michael R. Kaus and Wiro J. Niessen. Their work appears in journals such as Scientific Reports, Radiology and International Journal of Radiation Oncology*Biology*Physics.
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.