Norbert Wey
Impact in
- Health Informatics top 5%
- Artificial Intelligence top 5%
- AI in cancer detection
Papers in
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- AI in cancer detection 3
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- Radiomics and Machine Learning in Medical Imaging 3
- Co-authors
- Niels J. Rupp (2 shared papers)Thomas Hermanns (2 shared papers)Michaël Moret (2 shared papers)Manfred Claassen (2 shared papers)Peter J. Wild (2 shared papers)Christian D. Fankhauser (2 shared papers)Eirini Arvaniti (2 shared papers)Jan H. Rüschoff (1 shared paper)
- Journals
- Scientific Reports (1 paper)British Journal of Dermatology (1 paper)Proceedings of the National Academy of Sciences (1 paper)The Journal of Infectious Diseases (1 paper)European Urology Supplements (1 paper)
- Partner nations
- SwitzerlandGermanyItaly
In The Last Decade
Norbert Wey
6 papers receiving 395 citations
Peers
Comparison fields: 5 of 48
- Health Informatics 27
- Artificial Intelligence 213
- Radiology, Nuclear Medicine and Imaging 131
- Biophysics 23
- Oncology 86
Countries citing papers authored by Norbert Wey
This map shows the geographic impact of Norbert Wey'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 Norbert Wey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norbert Wey more than expected).
Fields of papers citing papers by Norbert Wey
This network shows the impact of papers produced by Norbert Wey. 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 Norbert Wey. The network helps show where Norbert Wey may publish in the future.
Co-authors
The 25 scholars most cited alongside Norbert Wey, 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 | 2018 | 283 | |
| 2 | 1997 | 52 | |
| 3 | 1998 | 49 | |
| 4 | 2013 | 13 | |
| 5 | 2018 | 3 | |
| 6 | 2019 | 2 |
About Norbert Wey
Norbert Wey is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Oncology, Epidemiology and Infectious Diseases, having authored 6 papers that have together received 402 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers), Viral-associated cancers and disorders (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Artificial Intelligence in Healthcare and Education (1 paper), Cutaneous lymphoproliferative disorders research (1 paper), Herpesvirus Infections and Treatments (1 paper) and Parvovirus B19 Infection Studies (1 paper). The work is most often cited by research in Health Informatics (27 citations), Artificial Intelligence (213 citations), Radiology, Nuclear Medicine and Imaging (131 citations), Biophysics (23 citations) and Oncology (86 citations). Norbert Wey has collaborated with scholars based in Switzerland, Germany and Italy. Frequent co-authors include Niels J. Rupp, Thomas Hermanns, Michaël Moret, Manfred Claassen, Peter J. Wild, Christian D. Fankhauser, Eirini Arvaniti, Jan H. Rüschoff, Werner Kempf and Gabriella Campadelli‐Fiume. Their work appears in journals such as Scientific Reports, British Journal of Dermatology, Proceedings of the National Academy of Sciences, The Journal of Infectious Diseases and European Urology Supplements.
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.