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 3
- Advanced MRI Techniques and Applications 3
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- Breast Lesions and Carcinomas 7
- Co-authors
- Simone Schrading (11 shared papers)Christiane Kühl (11 shared papers)Heribert Bieling (5 shared papers)Hans H. Schild (3 shared papers)Edwin L. Anderson (1 shared paper)Philip Massey (1 shared paper)R.-D Hilgers (1 shared paper)C Leutner (2 shared papers)
In The Last Decade
Kevin Strobel
12 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Instrumentation 115
- Radiology, Nuclear Medicine and Imaging 752
- Astronomy and Astrophysics 346
- Pathology and Forensic Medicine 315
- Cancer Research 210
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 | 471 |
| 2 | Spectrophotometric standards Hit paper breakdown → | 1988 | 354 |
| 3 | 2017 | 231 | |
| 4 | 2014 | 91 | |
| 5 | 2014 | 64 | |
| 6 | 2017 | 51 | |
| 7 | 2018 | 45 | |
| 8 | 2014 | 41 | |
| 9 | 2016 | 16 | |
| 10 | 2019 | 10 | |
| 11 | 2013 | 6 | |
| 12 | 2015 | 6 |
About Kevin Strobel
Kevin Strobel is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Cancer Research and Computational Mechanics, having authored 12 papers that have together received 1.4k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (10 papers), Breast Lesions and Carcinomas (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Medical Imaging Techniques and Applications (3 papers), Advanced MRI Techniques and Applications (3 papers), Digital Radiography and Breast Imaging (3 papers), Breast Cancer Treatment Studies (2 papers) and Calibration and Measurement Techniques (1 paper). The work is most often cited by research in Instrumentation (115 citations), Radiology, Nuclear Medicine and Imaging (752 citations), Astronomy and Astrophysics (346 citations), Pathology and Forensic Medicine (315 citations) and Cancer Research (210 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, Edwin L. Anderson, Philip Massey, R.-D Hilgers, C Leutner, Alexandra Barabasch and Nienke L. Hansen. Their work appears in journals such as Radiology, Journal of Clinical Oncology, The Astrophysical Journal, Investigative Radiology and Breast Cancer Research.
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.