Bram Platel
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Neurology top 5%
- Neurological disorders and treatments
Papers in
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- Radiomics and Machine Learning in Medical Imaging 15
- MRI in cancer diagnosis 11
- Advanced Neuroimaging Techniques and Applications 10
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- AI in cancer detection 20
- Co-authors
- Nico Karssemeijer (22 shared papers)Ritse M. Mann (19 shared papers)Roel Mus (8 shared papers)Mohsen Ghafoorian (17 shared papers)Albert Gubern‐Mérida (7 shared papers)Bart M. ter Haar Romeny (13 shared papers)Jan van Zelst (7 shared papers)Tao Tan (13 shared papers)
- Journals
- Medical Physics (6 papers)Scientific Reports (3 papers)Neurology (3 papers)IEEE Transactions on Medical Imaging (3 papers)European Journal of Radiology (3 papers)
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Bram Platel
66 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 142
- Radiology, Nuclear Medicine and Imaging 1.1k
- Neurology 277
- Neurology 357
- Health Informatics 30
- Computational Mathematics 12
Countries citing papers authored by Bram Platel
This map shows the geographic impact of Bram Platel'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 Bram Platel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bram Platel more than expected).
Fields of papers citing papers by Bram Platel
This network shows the impact of papers produced by Bram Platel. 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 Bram Platel. The network helps show where Bram Platel may publish in the future.
Co-authors
The 25 scholars most cited alongside Bram Platel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 164 | |
| 2 | 2017 | 162 | |
| 3 | 2014 | 140 | |
| 4 | 2020 | 120 | |
| 5 | 2012 | 114 | |
| 6 | 2014 | 92 | |
| 7 | 2017 | 87 | |
| 8 | 2013 | 84 | |
| 9 | 2017 | 77 | |
| 10 | 2018 | 76 | |
| 11 | 2017 | 69 | |
| 12 | 2012 | 69 | |
| 13 | 2016 | 61 | |
| 14 | 2013 | 56 | |
| 15 | 2016 | 54 | |
| 16 | 2007 | 48 | |
| 17 | 2017 | 48 | |
| 18 | 2016 | 46 | |
| 19 | 2011 | 43 | |
| 20 | 2015 | 38 |
About Bram Platel
Bram Platel is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Computer Vision and Pattern Recognition, Neurology and Pulmonary and Respiratory Medicine, having authored 67 papers that have together received 2.2k indexed citations. Recurring topics across this work include AI in cancer detection (20 papers), Radiomics and Machine Learning in Medical Imaging (15 papers), Medical Image Segmentation Techniques (12 papers), MRI in cancer diagnosis (11 papers), Advanced Neuroimaging Techniques and Applications (10 papers), Breast Lesions and Carcinomas (9 papers), Digital Radiography and Breast Imaging (7 papers) and Neurological Disease Mechanisms and Treatments (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Neurology (277 citations), Neurology (357 citations), Health Informatics (30 citations) and Computational Mathematics (12 citations). Bram Platel has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Nico Karssemeijer, Ritse M. Mann, Roel Mus, Mohsen Ghafoorian, Albert Gubern‐Mérida, Bart M. ter Haar Romeny, Jan van Zelst, Tao Tan, Frank‐Erik de Leeuw and Robert Martí. Their work appears in journals such as Medical Physics, Scientific Reports, Neurology, IEEE Transactions on Medical Imaging and European Journal of Radiology.
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.