Sven Nebelung
- Surgery top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Rheumatology top 2%
- Biomedical Engineering top 5%
- Artificial Intelligence top 5%
- Co-authors
- Christiane KühlDaniel TruhnJakob Nikolas KatherTianyu HanHolger JahrMarkus TingartMatthias KnobeSoroosh Tayebi Arasteh
- Topics
- Osteoarthritis Treatment and Mechanisms (42 papers)Radiomics and Machine Learning in Medical Imaging (29 papers)Knee injuries and reconstruction techniques (26 papers)
- Journals
- JAMANature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- GermanySwitzerlandUnited Kingdom
In The Last Decade
Sven Nebelung
138 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Surgery 635
- Radiology, Nuclear Medicine and Imaging 635
- Rheumatology 567
- Biomedical Engineering 494
- Artificial Intelligence 322
Countries citing papers authored by Sven Nebelung
This map shows the geographic impact of Sven Nebelung'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 Sven Nebelung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sven Nebelung more than expected).
Fields of papers citing papers by Sven Nebelung
This network shows the impact of papers produced by Sven Nebelung. 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 Sven Nebelung. The network helps show where Sven Nebelung may publish in the future.
Co-authorship network of co-authors of Sven Nebelung
This figure shows the co-authorship network connecting the top 25 collaborators of Sven Nebelung. A scholar is included among the top collaborators of Sven Nebelung 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 Sven Nebelung. Sven Nebelung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | Denoising diffusion probabilistic models for 3D medical image generationbreakdown → | 121 |
| 3 | 8 | |
| 4 | 8 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 7 | |
| 10 | 10 | |
| 11 | 7 | |
| 12 | 0 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 11 | |
| 16 | 5 | |
| 17 | 7 | |
| 18 | 2 | |
| 19 | 11 | |
| 20 | 3 |
About Sven Nebelung
Sven Nebelung is a scholar working on Health Informatics, Rheumatology and Orthopedics and Sports Medicine, having authored 149 papers that have together received 2.1k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (42 papers), Radiomics and Machine Learning in Medical Imaging (29 papers) and Knee injuries and reconstruction techniques (26 papers). The work is most often cited by research in Health Informatics (232 citations), Rheumatology (567 citations) and Radiology, Nuclear Medicine and Imaging (635 citations). Sven Nebelung has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Christiane Kühl, Daniel Truhn, Jakob Nikolas Kather, Tianyu Han, Holger Jahr, Markus Tingart, Matthias Knobe, Soroosh Tayebi Arasteh, Gustav Müller‐Franzes and Simone Schrading. Their work appears in journals such as JAMA, Nature Communications and SHILAP Revista de lepidopterología.
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.