Kevin Strobel
Impact in
- Instrumentation top 5%
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- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
Papers in
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- MRI in cancer diagnosis 10
- Radiomics and Machine Learning in Medical Imaging 4
- Medical Imaging Techniques and Applications 1
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- Breast Lesions and Carcinomas 2
- Co-authors
- Simone Schrading (12 shared papers)Christiane Kühl (12 shared papers)Heribert Bieling (5 shared papers)Hans H. Schild (3 shared papers)Philip Massey (1 shared paper)Edwin L. Anderson (1 shared paper)R.-D Hilgers (1 shared paper)C Leutner (2 shared papers)
In The Last Decade
Kevin Strobel
13 papers receiving 1.4k citations
Kevin Strobel's Hit Papers
Peers
Comparison fields: 5 of 61
- Instrumentation 119
- Radiology, Nuclear Medicine and Imaging 666
- Astronomy and Astrophysics 354
- Pathology and Forensic Medicine 188
- Cancer Research 140
Countries citing papers authored by Kevin Strobel
This map shows the geographic impact of Kevin Strobel'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 Kevin Strobel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Strobel more than expected).
Fields of papers citing papers by Kevin Strobel
This network shows the impact of papers produced by Kevin Strobel. 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 Kevin Strobel. The network helps show where Kevin Strobel may publish in the future.
Co-authors
The 18 scholars most cited alongside Kevin Strobel, 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 | Abbreviated Breast Magnetic Resonance Imaging (MRI): First Postcontrast Subtracted Images and Maximum-Intensity Projection—A Novel Approach to Breast Cancer Screening With MRI Hit paper breakdown → | 2014 | 491 |
| 2 | 1988 | 363 | |
| 3 | 2017 | 241 | |
| 4 | 2014 | 102 | |
| 5 | 2014 | 67 | |
| 6 | 2017 | 53 | |
| 7 | 2018 | 45 | |
| 8 | 2014 | 43 | |
| 9 | 2016 | 18 | |
| 10 | 2019 | 10 | |
| 11 | 2013 | 6 | |
| 12 | 2015 | 6 | |
| 13 | 2016 | 1 |
About Kevin Strobel
Kevin Strobel is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Computational Mechanics and Aerospace Engineering, having authored 13 papers that have together received 1.4k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (10 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Breast Lesions and Carcinomas (2 papers), Digital Radiography and Breast Imaging (2 papers), Calibration and Measurement Techniques (1 paper), Breast Cancer Treatment Studies (1 paper), Astronomical Observations and Instrumentation (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Instrumentation (119 citations), Radiology, Nuclear Medicine and Imaging (666 citations), Astronomy and Astrophysics (354 citations), Pathology and Forensic Medicine (188 citations) and Cancer Research (140 citations). Kevin Strobel has collaborated with scholars based in Germany and Japan. Frequent co-authors include Simone Schrading, Christiane Kühl, Heribert Bieling, Hans H. Schild, Philip Massey, Edwin L. Anderson, R.-D Hilgers, C Leutner, Nienke L. Hansen and Alexandra Barabasch. Their work appears in journals such as Journal of Clinical Oncology, Radiology, Investigative Radiology, Magnetic Resonance Imaging and Journal of Magnetic Resonance 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.