Norbert Wey
Impact in
- Health Informatics top 5%
- Artificial Intelligence top 5%
- AI in cancer detection
Papers in
-
- Cytomegalovirus and herpesvirus research 2
- Herpesvirus Infections and Treatments 1
- Fungal Infections and Studies 1
-
- AI in cancer detection 3
- Co-authors
- Jan H. Rüschoff (1 shared paper)Michaël Moret (2 shared papers)Peter J. Wild (2 shared papers)Thomas Hermanns (2 shared papers)Niels J. Rupp (2 shared papers)Eirini Arvaniti (2 shared papers)Christian D. Fankhauser (2 shared papers)Manfred Claassen (2 shared papers)
- Journals
- The Journal of Infectious Diseases (1 paper)Scientific Reports (1 paper)Proceedings of the National Academy of Sciences (1 paper)British Journal of Dermatology (1 paper)European Urology Supplements (1 paper)
- Partner nations
- SwitzerlandItalyGermany
In The Last Decade
Norbert Wey
6 papers receiving 381 citations
Peers
Comparison fields: 5 of 53
- Health Informatics 31
- Artificial Intelligence 230
- Radiology, Nuclear Medicine and Imaging 156
- Biophysics 26
- Oncology 108
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 | 269 | |
| 2 | 1997 | 52 | |
| 3 | 1998 | 50 | |
| 4 | 2013 | 13 | |
| 5 | 2018 | 3 | |
| 6 | 2019 | 2 |
About Norbert Wey
Norbert Wey is a scholar working on Epidemiology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Oncology and Infectious Diseases, having authored 6 papers that have together received 389 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers), Cytomegalovirus and herpesvirus research (2 papers), Viral-associated cancers and disorders (2 papers), Lymphoma Diagnosis and Treatment (1 paper), Herpesvirus Infections and Treatments (1 paper), Fungal Infections and Studies (1 paper) and Parvovirus B19 Infection Studies (1 paper). The work is most often cited by research in Health Informatics (31 citations), Artificial Intelligence (230 citations), Radiology, Nuclear Medicine and Imaging (156 citations), Biophysics (26 citations) and Oncology (108 citations). Norbert Wey has collaborated with scholars based in Switzerland, Italy and Germany. Frequent co-authors include Jan H. Rüschoff, Michaël Moret, Peter J. Wild, Thomas Hermanns, Niels J. Rupp, Eirini Arvaniti, Christian D. Fankhauser, Manfred Claassen, Werner Kempf and Gabriella Campadelli‐Fiume. Their work appears in journals such as The Journal of Infectious Diseases, Scientific Reports, Proceedings of the National Academy of Sciences, British Journal of Dermatology 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.