Philipp Wesp
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- COVID-19 diagnosis using AI 2
- Radiomics and Machine Learning in Medical Imaging 1
- Autopsy Techniques and Outcomes 1
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- Radiation Therapy and Dosimetry 2
- Co-authors
- Michael Ingrisch (9 shared papers)Jens Ricke (9 shared papers)Balthasar Schachtner (7 shared papers)Bastian O. Sabel (5 shared papers)Katharina Jeblick (3 shared papers)Andreas Mittermeier (3 shared papers)Jakob Dexl (1 shared paper)Tobias Weber (1 shared paper)
- Journals
- European Radiology (4 papers)International Journal of Legal Medicine (3 papers)Physics in Medicine and Biology (2 papers)Investigative Radiology (1 paper)Radiology (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Philipp Wesp
12 papers receiving 568 citations
Philipp Wesp's Hit Papers
Peers
Comparison fields: 5 of 75
- Health Informatics 250
- Radiology, Nuclear Medicine and Imaging 192
- Family Practice 11
- Radiation 52
- Artificial Intelligence 149
Countries citing papers authored by Philipp Wesp
This map shows the geographic impact of Philipp Wesp'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 Wesp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Wesp more than expected).
Fields of papers citing papers by Philipp Wesp
This network shows the impact of papers produced by Philipp Wesp. 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 Wesp. The network helps show where Philipp Wesp may publish in the future.
Co-authors
The 25 scholars most cited alongside Philipp Wesp, 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 | ChatGPT makes medicine easy to swallow: an exploratory case study on simplified radiology reports Hit paper breakdown → | 2023 | 351 |
| 2 | 2019 | 59 | |
| 3 | 2021 | 43 | |
| 4 | 2020 | 33 | |
| 5 | 2021 | 24 | |
| 6 | 2022 | 24 | |
| 7 | 2019 | 22 | |
| 8 | 2025 | 5 | |
| 9 | 2024 | 5 | |
| 10 | 2022 | 5 | |
| 11 | 2024 | 4 | |
| 12 | 2023 | 4 |
About Philipp Wesp
Philipp Wesp is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology, Radiation and Archeology, having authored 12 papers that have together received 579 indexed citations. Recurring topics across this work include Forensic Anthropology and Bioarchaeology Studies (2 papers), Radiation Therapy and Dosimetry (2 papers), Nuclear Physics and Applications (2 papers), Colorectal Cancer Screening and Detection (2 papers), COVID-19 diagnosis using AI (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Autopsy Techniques and Outcomes (1 paper) and Traumatic Brain Injury and Neurovascular Disturbances (1 paper). The work is most often cited by research in Health Informatics (250 citations), Radiology, Nuclear Medicine and Imaging (192 citations), Family Practice (11 citations), Radiation (52 citations) and Artificial Intelligence (149 citations). Philipp Wesp has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Michael Ingrisch, Jens Ricke, Balthasar Schachtner, Bastian O. Sabel, Katharina Jeblick, Andreas Mittermeier, Jakob Dexl, Tobias Weber, Anna Theresa Stüber and Johanna Topalis. Their work appears in journals such as European Radiology, International Journal of Legal Medicine, Physics in Medicine and Biology, Investigative 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.