Peter Dankerl
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
Papers in
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- Radiation Dose and Imaging 8
- Medical Imaging Techniques and Applications 5
- Radiomics and Machine Learning in Medical Imaging 4
- Cardiac Imaging and Diagnostics 3
- Surgery 10
- Co-authors
- Michael Uder (29 shared papers)Matthias Hammon (19 shared papers)Alexander Cavallaro (14 shared papers)Rolf Janka (11 shared papers)Alexey Tsymbal (5 shared papers)Michael Suehling (2 shared papers)Matthias May (3 shared papers)Michael Wels (1 shared paper)
- Journals
- Academic Radiology (3 papers)RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren (3 papers)International Journal of Computer Assisted Radiology and Surgery (2 papers)SpringerPlus (1 paper)Journal of Digital Imaging (1 paper)
- Partner nations
- GermanyUnited StatesBelgium
In The Last Decade
Peter Dankerl
32 papers receiving 339 citations
Peers
Comparison fields: 5 of 58
- Health Informatics 9
- Radiology, Nuclear Medicine and Imaging 146
- Immunology 60
- Oncology 70
- Orthopedics and Sports Medicine 22
Countries citing papers authored by Peter Dankerl
This map shows the geographic impact of Peter Dankerl'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 Peter Dankerl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Dankerl more than expected).
Fields of papers citing papers by Peter Dankerl
This network shows the impact of papers produced by Peter Dankerl. 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 Peter Dankerl. The network helps show where Peter Dankerl may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Dankerl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 67 | |
| 2 | 2013 | 44 | |
| 3 | 2013 | 26 | |
| 4 | 2013 | 24 | |
| 5 | 2016 | 19 | |
| 6 | 2021 | 18 | |
| 7 | 2014 | 16 | |
| 8 | 2017 | 16 | |
| 9 | 2016 | 15 | |
| 10 | 2014 | 13 | |
| 11 | 2017 | 9 | |
| 12 | 2013 | 8 | |
| 13 | 2012 | 8 | |
| 14 | 2013 | 7 | |
| 15 | 2018 | 6 | |
| 16 | 2015 | 5 | |
| 17 | 2014 | 5 | |
| 18 | 2017 | 5 | |
| 19 | 2014 | 5 | |
| 20 | 2016 | 4 |
About Peter Dankerl
Peter Dankerl is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Biomedical Engineering, Pathology and Forensic Medicine and Oncology, having authored 32 papers that have together received 349 indexed citations. Recurring topics across this work include Radiation Dose and Imaging (8 papers), AI in cancer detection (6 papers), Breast Cancer Treatment Studies (5 papers), Medical Imaging Techniques and Applications (5 papers), Advanced X-ray and CT Imaging (5 papers), Breast Lesions and Carcinomas (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Cardiac Imaging and Diagnostics (3 papers). The work is most often cited by research in Health Informatics (9 citations), Radiology, Nuclear Medicine and Imaging (146 citations), Immunology (60 citations), Oncology (70 citations) and Orthopedics and Sports Medicine (22 citations). Peter Dankerl has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Michael Uder, Matthias Hammon, Alexander Cavallaro, Rolf Janka, Alexey Tsymbal, Michael Suehling, Matthias May, Michael Wels, Ina Haendle and Stefanie Groß. Their work appears in journals such as Academic Radiology, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, International Journal of Computer Assisted Radiology and Surgery, SpringerPlus and Journal of Digital Imaging.
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.