M. Grigat
Impact in
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- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
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- Medical Image Segmentation Techniques
Papers in
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- Medical Imaging Techniques and Applications 8
- Advanced MRI Techniques and Applications 5
- MRI in cancer diagnosis 2
- Radiopharmaceutical Chemistry and Applications 2
- Radiomics and Machine Learning in Medical Imaging 1
- Genetics 3
- Glioma Diagnosis and Treatment 3
- Co-authors
- P Pfannenstiel (8 shared papers)W. von Seelen (7 shared papers)H. Higer (9 shared papers)Susanne Kunze (3 shared papers)D. Voth (5 shared papers)Mike Just (3 shared papers)U. Straube (1 shared paper)Daniel D. Bohl (1 shared paper)
- Journals
- RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren (4 papers)Magnetic Resonance Imaging (1 paper)PubMed (1 paper)
- Partner nations
- Germany
In The Last Decade
M. Grigat
12 papers receiving 62 citations
Peers
Comparison fields: 5 of 31
- Radiology, Nuclear Medicine and Imaging 47
- Computer Vision and Pattern Recognition 25
- Nuclear and High Energy Physics 12
- Biophysics 3
- Neurology 4
Countries citing papers authored by M. Grigat
This map shows the geographic impact of M. Grigat'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. Grigat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Grigat more than expected).
Fields of papers citing papers by M. Grigat
This network shows the impact of papers produced by M. Grigat. 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. Grigat. The network helps show where M. Grigat may publish in the future.
Co-authors
The 12 scholars most cited alongside M. Grigat, 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 | 1988 | 22 | |
| 2 | 1988 | 17 | |
| 3 | 1987 | 8 | |
| 4 | 1989 | 6 | |
| 5 | 1987 | 5 | |
| 6 | 1987 | 4 | |
| 7 | 1990 | 3 | |
| 8 | 2011 | 2 | |
| 9 | 2016 | 1 | |
| 10 | 1988 | 1 | |
| 11 | 1990 | 1 | |
| 12 | 1990 | 1 | |
| 13 | 1987 | 1 | |
| 14 | 1988 | 1 | |
| 15 | [Reference substance for initialling the marker space in NMR tomography]. | 1987 | 1 |
| 16 | 1990 | 0 |
About M. Grigat
M. Grigat is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Materials Chemistry, Cellular and Molecular Neuroscience and Neurology, having authored 16 papers that have together received 74 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (8 papers), Advanced MRI Techniques and Applications (5 papers), Glioma Diagnosis and Treatment (3 papers), MRI in cancer diagnosis (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Lanthanide and Transition Metal Complexes (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (47 citations), Computer Vision and Pattern Recognition (25 citations), Nuclear and High Energy Physics (12 citations), Biophysics (3 citations) and Neurology (4 citations). M. Grigat has collaborated with scholars based in Germany. Frequent co-authors include P Pfannenstiel, W. von Seelen, H. Higer, Susanne Kunze, D. Voth, Mike Just, U. Straube, Daniel D. Bohl, H. Schmitt and S. Kunze. Their work appears in journals such as RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Magnetic Resonance Imaging and PubMed.
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.