Philipp Fervers

433 total citations
23 papers, 239 citations indexed

About

Philipp Fervers is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Infectious Diseases. According to data from OpenAlex, Philipp Fervers has authored 23 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Biomedical Engineering and 5 papers in Infectious Diseases. Recurrent topics in Philipp Fervers's work include Medical Imaging Techniques and Applications (6 papers), Advanced X-ray and CT Imaging (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Philipp Fervers is often cited by papers focused on Medical Imaging Techniques and Applications (6 papers), Advanced X-ray and CT Imaging (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Philipp Fervers collaborates with scholars based in Germany. Philipp Fervers's co-authors include David Maintz, Jonathan Kottlors, Thorsten Persigehl, Simon Lennartz, Andra-Iza Iuga, Roman Johannes Gertz, Stephanie Tritt, Nils Große Hokamp, Nuran Abdullayev and Alexander C. Bunck and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Radiology.

In The Last Decade

Philipp Fervers

23 papers receiving 236 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Philipp Fervers Germany 9 125 63 44 36 31 23 239
Gianmarco Della Pepa Italy 8 121 1.0× 35 0.6× 18 0.4× 43 1.2× 38 1.2× 21 204
Narine Mesropyan Germany 15 246 2.0× 24 0.4× 59 1.3× 31 0.9× 27 0.9× 61 509
Kexue Deng China 8 231 1.8× 45 0.7× 60 1.4× 17 0.5× 63 2.0× 29 302
Ameer Khan United Kingdom 6 111 0.9× 71 1.1× 29 0.7× 8 0.2× 51 1.6× 14 260
Victor Savevski Italy 13 202 1.6× 54 0.9× 36 0.8× 87 2.4× 68 2.2× 32 383
Zhendong Luo China 7 190 1.5× 19 0.3× 58 1.3× 126 3.5× 38 1.2× 18 317
Ivan A. Blokhin Russia 8 165 1.3× 44 0.7× 39 0.9× 14 0.4× 42 1.4× 44 227
Moozhan Nikpanah United States 12 217 1.7× 42 0.7× 115 2.6× 24 0.7× 28 0.9× 31 350
Youmin Guo China 11 524 4.2× 41 0.7× 69 1.6× 69 1.9× 80 2.6× 33 600
Emi Yamaga Japan 9 225 1.8× 25 0.4× 32 0.7× 27 0.8× 152 4.9× 28 311

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-authorship network of co-authors of Philipp Fervers

This figure shows the co-authorship network connecting the top 25 collaborators of Philipp Fervers. A scholar is included among the top collaborators of Philipp Fervers based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philipp Fervers. Philipp Fervers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kottlors, Jonathan, Lukas Goertz, Andra-Iza Iuga, et al.. (2025). Large Language Models–Supported Thrombectomy Decision-Making in Acute Ischemic Stroke Based on Radiology Reports: Feasibility Qualitative Study. Journal of Medical Internet Research. 27. e48328–e48328. 3 indexed citations
2.
Gertz, Roman Johannes, Thomas Dratsch, Alexander C. Bunck, et al.. (2024). Potential of GPT-4 for Detecting Errors in Radiology Reports: Implications for Reporting Accuracy. Radiology. 311(1). e232714–e232714. 60 indexed citations
3.
Fervers, Philipp, et al.. (2024). ChatGPT yields low accuracy in determining LI-RADS scores based on free-text and structured radiology reports in German language. SHILAP Revista de lepidopterología. 4. 1390774–1390774. 15 indexed citations
4.
Laukamp, Kai Roman, Jan‐Michael Werner, Norbert Galldiks, et al.. (2024). Monitoring Patients with Glioblastoma by Using a Large Language Model: Accurate Summarization of Radiology Reports with GPT-4. Radiology. 312(1). e232640–e232640. 18 indexed citations
5.
Fervers, Philipp, Jonathan Kottlors, Robert Peter Reimer, et al.. (2023). Physiological iodine uptake of the spine’s bone marrow in dual-energy computed tomography – using artificial intelligence to define reference values based on 678 CT examinations of 189 individuals. Frontiers in Endocrinology. 14. 1098898–1098898. 1 indexed citations
6.
Fervers, Philipp, Andra-Iza Iuga, Jonathan Kottlors, et al.. (2023). Conventional and Deep-Learning-Based Image Reconstructions of Undersampled K-Space Data of the Lumbar Spine Using Compressed Sensing in MRI: A Comparative Study on 20 Subjects. Diagnostics. 13(3). 418–418. 25 indexed citations
7.
Goertz, Lukas, Lenhard Pennig, Alexander C. Bunck, et al.. (2023). Association between pouch morphology, cardiovascular risk factors and ischemic brain lesions in patients with left-sided septal pouches. Clinical Imaging. 100. 36–41. 1 indexed citations
8.
Kottlors, Jonathan, Philipp Fervers, Roman Johannes Gertz, et al.. (2023). Morphological appearance of the B.1.1.7 mutation of the novel coronavirus 2 (SARS-CoV-2) in chest CT. Quantitative Imaging in Medicine and Surgery. 13(2). 1058–1070. 1 indexed citations
9.
Fervers, Philipp, et al.. (2022). Radiotherapy Response Assessment of Multiple Myeloma: A Dual-Energy CT Approach With Virtual Non-Calcium Images. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 194(S 01). S46–S47. 1 indexed citations
10.
Fervers, Philipp, Jonathan Kottlors, Simon Lennartz, et al.. (2022). Assessment of COVID-19 lung involvement on computed tomography by deep-learning-, threshold-, and human reader-based approaches—an international, multi-center comparative study. Quantitative Imaging in Medicine and Surgery. 12(11). 5156–5170. 3 indexed citations
11.
Fervers, Philipp, Jonathan Kottlors, Thors ten Persigehl, et al.. (2022). Meaningful use of imaging resources to rule out cerebral venous sinus thrombosis after ChAdOx1 COVID-19 vaccination: Evaluation of the AHA diagnostic algorithm with a clinical cohort and a systematic data review. Journal of Clinical Neuroscience. 102. 5–12. 1 indexed citations
12.
Çelik, Erkan, Jonathan Kottlors, Philipp Fervers, et al.. (2022). Quantitative determination of pulmonary emphysema in follow-up LD-CTs of patients with COVID-19 infection. PLoS ONE. 17(2). e0263261–e0263261. 6 indexed citations
13.
14.
Fervers, Philipp, Erkan Çelik, Grischa Bratke, et al.. (2021). Radiotherapy Response Assessment of Multiple Myeloma: A Dual-Energy CT Approach With Virtual Non-Calcium Images. Frontiers in Oncology. 11. 734819–734819. 9 indexed citations
15.
Fervers, Philipp, Nils Große Hokamp, David Maintz, et al.. (2021). Coronary artery calcification on low-dose chest CT is an early predictor of severe progression of COVID-19—A multi-center, multi-vendor study. PLoS ONE. 16(7). e0255045–e0255045. 3 indexed citations
16.
17.
Fervers, Philipp, David Zopfs, David Maintz, et al.. (2020). Calcification of the thoracic aorta on low-dose chest CT predicts severe COVID-19. PLoS ONE. 15(12). e0244267–e0244267. 4 indexed citations
18.
19.
Kottlors, Jonathan, David Zopfs, Philipp Fervers, et al.. (2020). Body composition on low dose chest CT is a significant predictor of poor clinical outcome in COVID-19 disease - A multicenter feasibility study. European Journal of Radiology. 132. 109274–109274. 23 indexed citations
20.

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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