Andreas Boss
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- Advanced MRI Techniques and Applications 98
- MRI in cancer diagnosis 82
- Advanced Neuroimaging Techniques and Applications 46
- Radiomics and Machine Learning in Medical Imaging 37
- Medical Imaging Techniques and Applications 27
- Health Informatics top 1%
- Hepatology top 2%
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- Digital Radiography and Breast Imaging 22
- Radiation top 5%
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- AI in cancer detection 21
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- Atomic and Subatomic Physics Research 19
- Co-authors
- Moritz C. WurnigClaus D. ClaussenFritz SchickAnton S. BeckerMagda MarconCristina RossiDavid KenkelPetros Martirosian
- Journals
- Investigative Radiology (27 papers)NMR in Biomedicine (16 papers)Journal of Magnetic Resonance Imaging (14 papers)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Andreas Boss
227 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Radiology, Nuclear Medicine and Imaging 3.5k
- Health Informatics 129
- Hepatology 310
- Pulmonary and Respiratory Medicine 942
- Radiation 204
Countries citing papers authored by Andreas Boss
This map shows the geographic impact of Andreas Boss'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 Andreas Boss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Boss more than expected).
Fields of papers citing papers by Andreas Boss
This network shows the impact of papers produced by Andreas Boss. 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 Andreas Boss. The network helps show where Andreas Boss may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andreas Boss, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 19 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 4 | |
| 8 | 2022 | 9 | |
| 9 | 2020 | 16 | |
| 10 | 2020 | 21 | |
| 11 | 2018 | 23 | |
| 12 | 2018 | 19 | |
| 13 | 2018 | 14 | |
| 14 | 2018 | 108 | |
| 15 | Artificial Intelligence und Machine Learning in der Medizin | 2017 | 3 |
| 16 | 2017 | 5 | |
| 17 | 2016 | 21 | |
| 18 | 2015 | 25 | |
| 19 | 2014 | 29 | |
| 20 | 2009 | 3 |
About Andreas Boss
Andreas Boss is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology and Pulmonary and Respiratory Medicine, having authored 230 papers that have together received 5.6k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (98 papers), MRI in cancer diagnosis (82 papers), Advanced Neuroimaging Techniques and Applications (46 papers), Radiomics and Machine Learning in Medical Imaging (37 papers), Medical Imaging Techniques and Applications (27 papers), Digital Radiography and Breast Imaging (22 papers), AI in cancer detection (21 papers) and Atomic and Subatomic Physics Research (19 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (3.5k citations), Health Informatics (129 citations) and Hepatology (310 citations). Andreas Boss has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Moritz C. Wurnig, Claus D. Claussen, Fritz Schick, Anton S. Becker, Magda Marcon, Cristina Rossi, David Kenkel, Petros Martirosian, Thomas Frauenfelder and Soleen Ghafoor. Their work appears in journals such as Investigative Radiology, NMR in Biomedicine, Journal of Magnetic Resonance Imaging, European Radiology and Magnetic Resonance Materials in Physics Biology and Medicine.
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.