Philipp Fervers
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Artificial Intelligence in Healthcare and Education 5
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- COVID-19 Clinical Research Studies 8
- Co-authors
- Jonathan Kottlors (23 shared papers)David C. Maintz (21 shared papers)Thorsten Persigehl (19 shared papers)Simon Lennartz (9 shared papers)Andra-Iza Iuga (3 shared papers)Robert Hahnfeldt (3 shared papers)Roman Johannes Gertz (4 shared papers)Lenhard Pennig (3 shared papers)
In The Last Decade
Philipp Fervers
25 papers receiving 343 citations
Peers
Comparison fields: 5 of 48
- Health Informatics 143
- Radiology, Nuclear Medicine and Imaging 75
- General Dentistry 1
- Infectious Diseases 39
- Orthopedics and Sports Medicine 14
Countries citing papers authored by Philipp Fervers
This map shows the geographic impact of Philipp Fervers'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 Philipp Fervers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Fervers more than expected).
Fields of papers citing papers by Philipp Fervers
This network shows the impact of papers produced by Philipp Fervers. 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 Philipp Fervers. The network helps show where Philipp Fervers may publish in the future.
Co-authors
The 25 scholars most cited alongside Philipp Fervers, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 91 | |
| 2 | 2024 | 31 | |
| 3 | 2020 | 30 | |
| 4 | 2023 | 30 | |
| 5 | 2020 | 26 | |
| 6 | 2024 | 19 | |
| 7 | 2022 | 17 | |
| 8 | 2021 | 15 | |
| 9 | 2021 | 12 | |
| 10 | 2020 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2021 | 9 | |
| 13 | 2022 | 8 | |
| 14 | 2022 | 8 | |
| 15 | 2025 | 7 | |
| 16 | 2020 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2018 | 3 | |
| 20 | 2024 | 3 |
About Philipp Fervers
Philipp Fervers is a scholar working on Health Informatics, Infectious Diseases, Radiology, Nuclear Medicine and Imaging, Hematology and Biomedical Engineering, having authored 29 papers that have together received 349 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (8 papers), Advanced X-ray and CT Imaging (6 papers), Artificial Intelligence in Healthcare and Education (5 papers), COVID-19 diagnosis using AI (5 papers), Multiple Myeloma Research and Treatments (3 papers), Medical Imaging Techniques and Applications (2 papers), Cardiovascular and Diving-Related Complications (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Health Informatics (143 citations), Radiology, Nuclear Medicine and Imaging (75 citations), General Dentistry (1 citation), Infectious Diseases (39 citations) and Orthopedics and Sports Medicine (14 citations). Philipp Fervers has collaborated with scholars based in Germany, China and Austria. Frequent co-authors include Jonathan Kottlors, David C. Maintz, Thorsten Persigehl, Simon Lennartz, Andra-Iza Iuga, Robert Hahnfeldt, Roman Johannes Gertz, Lenhard Pennig, Nils Große Hokamp and Thomas Dratsch. Their work appears in journals such as PLoS ONE, European Journal of Radiology, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, European Radiology and Radiology.
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.