Simon Andermatt
Impact in
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- Brain Tumor Detection and Classification
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Advanced Neuroimaging Techniques and Applications 3
- Radiomics and Machine Learning in Medical Imaging 1
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- Multiple Sclerosis Research Studies 3
- Co-authors
- Philippe C. Cattin (10 shared papers)Simon Pezold (6 shared papers)Robin Sandkühler (5 shared papers)Grzegorz Bauman (5 shared papers)Francesco Santini (3 shared papers)Oliver Bieri (4 shared papers)Philipp Latzin (4 shared papers)Orso Pusterla (4 shared papers)
- Journals
- Magnetic Resonance in Medicine (2 papers)Human Brain Mapping (1 paper)Zeitschrift für Medizinische Physik (1 paper)Journal of Neuroimaging (1 paper)Frontiers in Neuroscience (1 paper)
- Partner nations
- SwitzerlandChileGermany
In The Last Decade
Simon Andermatt
11 papers receiving 215 citations
Peers
Comparison fields: 5 of 50
- Neurology 49
- Radiology, Nuclear Medicine and Imaging 60
- Computer Vision and Pattern Recognition 58
- Pathology and Forensic Medicine 33
- Biophysics 8
Countries citing papers authored by Simon Andermatt
This map shows the geographic impact of Simon Andermatt'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 Simon Andermatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Andermatt more than expected).
Fields of papers citing papers by Simon Andermatt
This network shows the impact of papers produced by Simon Andermatt. 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 Simon Andermatt. The network helps show where Simon Andermatt may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Andermatt, 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 | 2016 | 80 | |
| 2 | 2018 | 36 | |
| 3 | 2020 | 29 | |
| 4 | 2019 | 28 | |
| 5 | 2019 | 12 | |
| 6 | 2019 | 11 | |
| 7 | 2022 | 10 | |
| 8 | 2017 | 5 | |
| 9 | 2024 | 4 | |
| 10 | 2020 | 2 | |
| 11 | 2019 | 1 |
About Simon Andermatt
Simon Andermatt is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Atomic and Molecular Physics, and Optics, having authored 11 papers that have together received 218 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (3 papers), Multiple Sclerosis Research Studies (3 papers), Medical Image Segmentation Techniques (2 papers), Atomic and Subatomic Physics Research (2 papers), Advanced Neural Network Applications (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Fetal and Pediatric Neurological Disorders (1 paper) and Digital Imaging for Blood Diseases (1 paper). The work is most often cited by research in Neurology (49 citations), Radiology, Nuclear Medicine and Imaging (60 citations), Computer Vision and Pattern Recognition (58 citations), Pathology and Forensic Medicine (33 citations) and Biophysics (8 citations). Simon Andermatt has collaborated with scholars based in Switzerland, Chile and Germany. Frequent co-authors include Philippe C. Cattin, Simon Pezold, Robin Sandkühler, Grzegorz Bauman, Francesco Santini, Oliver Bieri, Philipp Latzin, Orso Pusterla, Ernst‐Wilhelm Radue and Sylvia Nyilas. Their work appears in journals such as Magnetic Resonance in Medicine, Human Brain Mapping, Zeitschrift für Medizinische Physik, Journal of Neuroimaging and Frontiers in Neuroscience.
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.