Nils Papenberg
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging
- Aerospace Engineering
- Media Technology top 5%
- Co-authors
- Joachim WeickertAndrés BruhnStephan DidasThomas BroxBernd FischerStefan HeldmannJan ModersitzkiThomas Lange
- Topics
- Medical Image Segmentation Techniques (10 papers)Medical Imaging Techniques and Applications (8 papers)Medical Imaging and Analysis (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Partner nations
- GermanySwitzerlandEgypt
In The Last Decade
Nils Papenberg
15 papers receiving 428 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 363
- Biomedical Engineering 86
- Radiology, Nuclear Medicine and Imaging 78
- Aerospace Engineering 70
- Media Technology 56
Countries citing papers authored by Nils Papenberg
This map shows the geographic impact of Nils Papenberg'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 Nils Papenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nils Papenberg more than expected).
Fields of papers citing papers by Nils Papenberg
This network shows the impact of papers produced by Nils Papenberg. 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 Nils Papenberg. The network helps show where Nils Papenberg may publish in the future.
Co-authorship network of co-authors of Nils Papenberg
This figure shows the co-authorship network connecting the top 25 collaborators of Nils Papenberg. A scholar is included among the top collaborators of Nils Papenberg 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 Nils Papenberg. Nils Papenberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 14 | |
| 4 | 11 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 19 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 83 | |
| 12 | 7 | |
| 13 | 269 | |
| 14 | 14 | |
| 15 | 2 | |
| 16 | 10 |
About Nils Papenberg
Nils Papenberg is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Geometry and Topology, having authored 16 papers that have together received 451 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (10 papers), Medical Imaging Techniques and Applications (8 papers) and Medical Imaging and Analysis (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (363 citations), Media Technology (56 citations) and Computer Graphics and Computer-Aided Design (21 citations). Nils Papenberg has collaborated with scholars based in Germany, Switzerland and Egypt. Frequent co-authors include Joachim Weickert, Andrés Bruhn, Stephan Didas, Thomas Brox, Bernd Fischer, Stefan Heldmann, Jan Modersitzki, Thomas Lange, Peter M. Schlag and Hans Lamecker. Their work appears in journals such as International Journal of Computer Vision, Signal Processing and Radiation Oncology.
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.