Philipp Wesp
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education 3
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- Radiomics and Machine Learning in Medical Imaging 3
- Autopsy Techniques and Outcomes 3
- Radiation top 10%
- Nuclear Physics and Applications 2
- Artificial Intelligence top 10%
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- Colorectal Cancer Screening and Detection 3
- Colorectal Cancer Surgical Treatments 3
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- Lung Cancer Diagnosis and Treatment 2
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- Forensic Anthropology and Bioarchaeology Studies 2
- Co-authors
- Michael IngrischJens RickeBalthasar SchachtnerBastian O. SabelKatharina JeblickAndreas MittermeierAnna Theresa StüberTobias Weber
- Journals
- European Radiology (4 papers)International Journal of Legal Medicine (3 papers)Physics in Medicine and Biology (2 papers)
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Philipp Wesp
12 papers receiving 519 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Health Informatics 269
- Radiology, Nuclear Medicine and Imaging 277
- Radiation 68
- Family Practice 17
- Artificial Intelligence 175
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-authorship network
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 | 2025 | 3 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 3 | |
| 5 | ChatGPT makes medicine easy to swallow: an exploratory case study on simplified radiology reportsbreakdown → | 2023 | 318 |
| 6 | 2022 | 5 | |
| 7 | 2022 | 22 | |
| 8 | 2021 | 37 | |
| 9 | 2021 | 22 | |
| 10 | 2020 | 32 | |
| 11 | 2019 | 59 | |
| 12 | 2019 | 22 |
About Philipp Wesp
Philipp Wesp is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Radiation, Pharmacy and Archeology, having authored 12 papers that have together received 530 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Autopsy Techniques and Outcomes (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), Colorectal Cancer Screening and Detection (3 papers), Colorectal Cancer Surgical Treatments (3 papers), Lung Cancer Diagnosis and Treatment (2 papers), Nuclear Physics and Applications (2 papers) and Forensic Anthropology and Bioarchaeology Studies (2 papers). The work is most often cited by research in Health Informatics (269 citations), Radiology, Nuclear Medicine and Imaging (277 citations), Radiation (68 citations), Family Practice (17 citations) and Artificial Intelligence (175 citations). Philipp Wesp has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Michael Ingrisch, Jens Ricke, Balthasar Schachtner, Bastian O. Sabel, Katharina Jeblick, Andreas Mittermeier, Anna Theresa Stüber, Tobias Weber, Jakob Dexl and Johanna Topalis. Their work appears in journals such as European Radiology, International Journal of Legal Medicine, Physics in Medicine and Biology, Radiology and Investigative 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.