S. Ken

751 citations
38 papers · 504 · h-index 10

Impact in

  • Radiation top 5%
    • Advanced Radiotherapy Techniques
  • Genetics top 10%
    • Glioma Diagnosis and Treatment

Papers in

    • Advanced MRI Techniques and Applications 19
    • Medical Imaging Techniques and Applications 12
    • Radiomics and Machine Learning in Medical Imaging 7
    • MRI in cancer diagnosis 5
    • Glioma Diagnosis and Treatment 9

S. Ken

33 papers receiving 499 citations

Peers

S. Ken
Comparison fields: 5 of 80
  • Radiation 130
  • Genetics 136
  • Health Informatics 16
  • Radiology, Nuclear Medicine and Imaging 270
  • Cancer Research 53
Replace Eric Morris with:
Eric Morris United States
Claes Nøhr Ladefoged Denmark
Evelyn Herrmann Switzerland
Jonathan A. Disselhorst Germany
Laurence Champion France
Kyriaki Theodorou Greece
Jinghao Duan China
Sebastian R. van der Voort Netherlands
Naomi Fersht United Kingdom
Georgy Shakirin Germany
S. Ken relative to Eric Morris United States Eric Morris's profile →
Citations per field
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Eric Morris · 1×
Citations per year

Countries citing papers authored by S. Ken

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with S. Ken Line = papers co-authored together S. Ken links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013189
2 201344
3 201439
4 200731
5 202128
6 201524
7 201522
8 200719
9 201617
10 202311
11 20159
12 20238
13 20138
14 20187
15 20217
16 20167
17 20146
18 20234
19 20204
20 20143

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 504 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (19 papers), Medical Imaging Techniques and Applications (12 papers), Glioma Diagnosis and Treatment (9 papers), Advanced Radiotherapy Techniques (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Medical Image Segmentation Techniques (5 papers), MRI in cancer diagnosis (5 papers) and Brain Tumor Detection and Classification (3 papers). The work is most often cited by research in Radiation (130 citations), Genetics (136 citations), Health Informatics (16 citations), Radiology, Nuclear Medicine and Imaging (270 citations) and Cancer Research (53 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, L. Simon, Pierre Celsis, Jean-Albert Lotterie, L. Vieillevigne, M. Delannes and E. Cassol. Their work appears in journals such as Radiotherapy and Oncology, Magnetic Resonance Imaging, Physica Medica, 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.

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