Rafael Schick
Impact in
- Radiation top 10%
- Advanced X-ray Imaging Techniques
- X-ray Spectroscopy and Fluorescence Analysis
- Nuclear Physics and Applications
Papers in
-
- Medical Imaging Techniques and Applications 5
- COVID-19 diagnosis using AI 1
- Radiomics and Machine Learning in Medical Imaging 1
-
- Advanced X-ray and CT Imaging 7
- Photoacoustic and Ultrasonic Imaging 1
- Co-authors
- Manuela Frank (8 shared papers)Daniela Pfeiffer (9 shared papers)Wolfgang Noichl (5 shared papers)Thomas Koehler (8 shared papers)Konstantin Willer (6 shared papers)Alexander A. Fingerle (8 shared papers)Marcus R. Makowski (7 shared papers)Franz Pfeiffer (8 shared papers)
- Journals
- Radiology (2 papers)Radiology Artificial Intelligence (1 paper)Investigative Radiology (1 paper)IEEE Transactions on Medical Imaging (1 paper)European Radiology Experimental (1 paper)
- Partner nations
- GermanySwitzerlandNetherlands
In The Last Decade
Rafael Schick
7 papers receiving 92 citations
Peers
Comparison fields: 5 of 31
- Radiation 67
- Structural Biology 5
- Radiology, Nuclear Medicine and Imaging 45
- Acoustics and Ultrasonics 1
- Biomedical Engineering 48
Countries citing papers authored by Rafael Schick
This map shows the geographic impact of Rafael Schick'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 Rafael Schick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Schick more than expected).
Fields of papers citing papers by Rafael Schick
This network shows the impact of papers produced by Rafael Schick. 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 Rafael Schick. The network helps show where Rafael Schick may publish in the future.
Co-authors
The 25 scholars most cited alongside Rafael Schick, 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 | 2021 | 50 | |
| 2 | 2022 | 30 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 2 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2025 | 0 | |
| 9 | 2025 | 0 |
About Rafael Schick
Rafael Schick is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Radiation, Pulmonary and Respiratory Medicine and Atomic and Molecular Physics, and Optics, having authored 9 papers that have together received 96 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (7 papers), Advanced X-ray Imaging Techniques (6 papers), Medical Imaging Techniques and Applications (5 papers), Nuclear Physics and Applications (1 paper), COVID-19 diagnosis using AI (1 paper), Lung Cancer Diagnosis and Treatment (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper) and Photoacoustic and Ultrasonic Imaging (1 paper). The work is most often cited by research in Radiation (67 citations), Structural Biology (5 citations), Radiology, Nuclear Medicine and Imaging (45 citations), Acoustics and Ultrasonics (1 citation) and Biomedical Engineering (48 citations). Rafael Schick has collaborated with scholars based in Germany, Switzerland and Netherlands. Frequent co-authors include Manuela Frank, Daniela Pfeiffer, Wolfgang Noichl, Thomas Koehler, Konstantin Willer, Alexander A. Fingerle, Marcus R. Makowski, Franz Pfeiffer, Andreas Sauter and Theresa Urban. Their work appears in journals such as Radiology, Radiology Artificial Intelligence, Investigative Radiology, IEEE Transactions on Medical Imaging and European Radiology Experimental.
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.