M. Rawlik
Impact in
- Radiation top 10%
- Advanced X-ray Imaging Techniques
- X-ray Spectroscopy and Fluorescence Analysis
Papers in
- Radiation 13
- Advanced X-ray Imaging Techniques 12
- Nuclear Physics and Applications 2
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- Advanced X-ray and CT Imaging 4
- Photoacoustic and Ultrasonic Imaging 2
- Advanced Surface Polishing Techniques 2
- Co-authors
- Marco Stampanoni (15 shared papers)Lucia Romano (8 shared papers)Zhentian Wang (7 shared papers)Subhadip Mukherjee (5 shared papers)Konstantins Jefimovs (4 shared papers)Zsuzsanna Varga (4 shared papers)Zhitian Shi (3 shared papers)Martin Stauber (6 shared papers)
- Journals
- Scientific Reports (4 papers)Optics Express (3 papers)Medical Physics (2 papers)Journal of The Electrochemical Society (1 paper)IEEE Transactions on Medical Imaging (1 paper)
- Partner nations
- SwitzerlandChinaUnited Kingdom
In The Last Decade
M. Rawlik
15 papers receiving 67 citations
Peers
Comparison fields: 5 of 21
- Radiation 44
- Structural Biology 2
- Radiology, Nuclear Medicine and Imaging 23
- Biomedical Engineering 37
- Computer Vision and Pattern Recognition 10
Countries citing papers authored by M. Rawlik
This map shows the geographic impact of M. Rawlik'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 M. Rawlik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Rawlik more than expected).
Fields of papers citing papers by M. Rawlik
This network shows the impact of papers produced by M. Rawlik. 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 M. Rawlik. The network helps show where M. Rawlik may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Rawlik, 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 | 2023 | 16 | |
| 2 | 2023 | 11 | |
| 3 | 2023 | 7 | |
| 4 | 2018 | 7 | |
| 5 | 2024 | 5 | |
| 6 | 2022 | 5 | |
| 7 | 2023 | 5 | |
| 8 | 2024 | 4 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2025 | 0 |
About M. Rawlik
M. Rawlik is a scholar working on Radiation, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 71 indexed citations. Recurring topics across this work include Advanced X-ray Imaging Techniques (12 papers), Medical Imaging Techniques and Applications (6 papers), Advanced X-ray and CT Imaging (4 papers), Optical measurement and interference techniques (3 papers), Digital Holography and Microscopy (3 papers), Photoacoustic and Ultrasonic Imaging (2 papers), Nuclear Physics and Applications (2 papers) and Advanced Surface Polishing Techniques (2 papers). The work is most often cited by research in Radiation (44 citations), Structural Biology (2 citations), Radiology, Nuclear Medicine and Imaging (23 citations), Biomedical Engineering (37 citations) and Computer Vision and Pattern Recognition (10 citations). M. Rawlik has collaborated with scholars based in Switzerland, China and United Kingdom. Frequent co-authors include Marco Stampanoni, Lucia Romano, Zhentian Wang, Subhadip Mukherjee, Konstantins Jefimovs, Zsuzsanna Varga, Zhitian Shi, Martin Stauber, Maxim Polikarpov and J. Krempel. Their work appears in journals such as Scientific Reports, Optics Express, Medical Physics, Journal of The Electrochemical Society and IEEE Transactions on Medical Imaging.
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.