Philipp Fervers

464 citations
23 papers · 265 · h-index 10

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Radiomics and Machine Learning in Medical Imaging
    • Radiology practices and education
    • Medical Imaging Techniques and Applications
    • Advanced MRI Techniques and Applications

Papers in

Philipp Fervers

23 papers receiving 262 citations

Peers

Philipp Fervers
Comparison fields: 5 of 52
  • Health Informatics 49
  • Radiology, Nuclear Medicine and Imaging 82
  • Infectious Diseases 23
  • Neurology 17
  • Family Practice 2
Replace Jonathan Kottlors with:
Jonathan Kottlors Germany
Tom Boeken France
Gianmarco Della Pepa Italy
Shabina Rahim Pakistan
Jens Kjærgaard Boldsen Denmark
Heiko Peschl United Kingdom
Claudio E. von Schacky Germany
Marcello Orsi Italy
Krithika Rangarajan India
S. Mojdeh Mirmomen United States
Philipp Fervers relative to Jonathan Kottlors Germany Jonathan Kottlors's profile →
Citations per field
00.5×1.5×
Jonathan Kottlors · 1×
Citations per year

Countries citing papers authored by Philipp Fervers

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Philipp Fervers Line = papers co-authored together Philipp Fervers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202468
2 202328
3 202026
4 202425
5 202023
6 202417
7 202115
8 202010
9 20219
10 20219
11 20227
12 20255
13 20224
14 20204
15 20213
16 20183
17 20223
18 20231
19 20221
20 20221

About Philipp Fervers

Philipp Fervers is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Health Informatics and Surgery, having authored 23 papers that have together received 265 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (5 papers), Artificial Intelligence in Healthcare and Education (3 papers), COVID-19 Clinical Research Studies (3 papers), Medical Imaging Techniques and Applications (2 papers), Radiation Dose and Imaging (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Trypanosoma species research and implications (1 paper) and Venous Thromboembolism Diagnosis and Management (1 paper). The work is most often cited by research in Health Informatics (49 citations), Radiology, Nuclear Medicine and Imaging (82 citations), Infectious Diseases (23 citations), Neurology (17 citations) and Family Practice (2 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, Robert Hahnfeldt, Nils Große Hokamp, Stephanie Tritt and Lenhard Pennig. Their work appears in journals such as PLoS ONE, Radiology, European Journal of Radiology, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren and Journal of Medical Internet Research.

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.

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