Philipp Fervers
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Radiology practices and education
- Advanced MRI Techniques and Applications
Papers in
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- Medical Imaging Techniques and Applications 6
- Radiomics and Machine Learning in Medical Imaging 5
- COVID-19 diagnosis using AI 3
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- Advanced X-ray and CT Imaging 6
- Co-authors
- David Maintz (20 shared papers)Jonathan Kottlors (17 shared papers)Thorsten Persigehl (16 shared papers)Simon Lennartz (8 shared papers)Andra-Iza Iuga (3 shared papers)Roman Johannes Gertz (4 shared papers)Nils Große Hokamp (6 shared papers)Stephanie Tritt (4 shared papers)
- Journals
- PLoS ONE (4 papers)Radiology (2 papers)European Journal of Radiology (2 papers)Journal of Medical Internet Research (1 paper)Bone (1 paper)
- Partner nations
- Germany
In The Last Decade
Philipp Fervers
23 papers receiving 236 citations
Peers
Comparison fields: 5 of 55
- Health Informatics 63
- Radiology, Nuclear Medicine and Imaging 125
- Family Practice 5
- Infectious Diseases 36
- Neurology 28
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 60 | |
| 2 | 2020 | 26 | |
| 3 | 2023 | 25 | |
| 4 | 2020 | 23 | |
| 5 | 2024 | 18 | |
| 6 | 2024 | 15 | |
| 7 | 2021 | 14 | |
| 8 | 2020 | 9 | |
| 9 | 2021 | 9 | |
| 10 | 2021 | 8 | |
| 11 | 2022 | 6 | |
| 12 | 2020 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2022 | 3 | |
| 15 | 2025 | 3 | |
| 16 | 2018 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2023 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2022 | 1 |
About Philipp Fervers
Philipp Fervers is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Infectious Diseases, Neurology and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 239 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (6 papers), Advanced X-ray and CT Imaging (6 papers), COVID-19 Clinical Research Studies (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Artificial Intelligence in Healthcare and Education (4 papers), COVID-19 and healthcare impacts (4 papers), COVID-19 diagnosis using AI (3 papers) and Long-Term Effects of COVID-19 (3 papers). The work is most often cited by research in Health Informatics (63 citations), Radiology, Nuclear Medicine and Imaging (125 citations), Family Practice (5 citations), Infectious Diseases (36 citations) and Neurology (28 citations). Philipp Fervers has collaborated with scholars based in Germany. Frequent co-authors include David Maintz, Jonathan Kottlors, Thorsten Persigehl, Simon Lennartz, Andra-Iza Iuga, Roman Johannes Gertz, Nils Große Hokamp, Stephanie Tritt, Nuran Abdullayev and Lenhard Pennig. Their work appears in journals such as PLoS ONE, Radiology, European Journal of Radiology, Journal of Medical Internet Research and Bone.
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.