S. Ken
Impact in
- Health Informatics top 10%
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
-
- Advanced MRI Techniques and Applications 17
- Medical Imaging Techniques and Applications 9
- Radiomics and Machine Learning in Medical Imaging 6
- MRI in cancer diagnosis 5
- Genetics 9
- Glioma Diagnosis and Treatment 7
- Co-authors
- Anne Laprie (19 shared papers)Thomas Filleron (7 shared papers)V. Lubrano (9 shared papers)I. Berry (7 shared papers)Jean-Albert Lotterie (7 shared papers)L. Simon (2 shared papers)Pierre Celsis (7 shared papers)E. Cassol (2 shared papers)
In The Last Decade
S. Ken
35 papers receiving 511 citations
Peers
Comparison fields: 5 of 78
- Health Informatics 15
- Genetics 112
- Radiation 97
- Radiology, Nuclear Medicine and Imaging 192
- Cancer Research 44
Countries citing papers authored by S. Ken
This map shows the geographic impact of S. Ken'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 S. Ken with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Ken more than expected).
Fields of papers citing papers by S. Ken
This network shows the impact of papers produced by S. Ken. 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 S. Ken. The network helps show where S. Ken may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Ken, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 189 | |
| 2 | 2013 | 45 | |
| 3 | 2014 | 40 | |
| 4 | 2007 | 31 | |
| 5 | 2021 | 30 | |
| 6 | 2015 | 25 | |
| 7 | 2015 | 22 | |
| 8 | 2007 | 19 | |
| 9 | 2016 | 17 | |
| 10 | 2023 | 13 | |
| 11 | 2023 | 11 | |
| 12 | 2015 | 9 | |
| 13 | 2013 | 8 | |
| 14 | 2018 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2016 | 7 | |
| 17 | 2014 | 6 | |
| 18 | 2023 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2014 | 3 |
About S. Ken
S. Ken is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Radiation, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine, having authored 38 papers that have together received 515 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (17 papers), Medical Imaging Techniques and Applications (9 papers), Glioma Diagnosis and Treatment (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced Radiotherapy Techniques (5 papers), MRI in cancer diagnosis (5 papers), Medical Image Segmentation Techniques (4 papers) and Brain Tumor Detection and Classification (2 papers). The work is most often cited by research in Health Informatics (15 citations), Genetics (112 citations), Radiation (97 citations), Radiology, Nuclear Medicine and Imaging (192 citations) and Cancer Research (44 citations). S. Ken has collaborated with scholars based in France, Italy and Austria. Frequent co-authors include Anne Laprie, Thomas Filleron, V. Lubrano, I. Berry, Jean-Albert Lotterie, L. Simon, Pierre Celsis, E. Cassol, L. Vieillevigne and Elizabeth Cohen–Jonathan. Their work appears in journals such as Radiotherapy and Oncology, Physica Medica, Magnetic Resonance Imaging, International Journal of Radiation Oncology*Biology*Physics and The Oncologist.
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.