Simon Keek
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
Papers in
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- Radiomics and Machine Learning in Medical Imaging 16
- Medical Imaging Techniques and Applications 4
- MRI in cancer diagnosis 1
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- Lung Cancer Diagnosis and Treatment 2
- Sarcoma Diagnosis and Treatment 1
- Co-authors
- Henry C. Woodruff (9 shared papers)Philippe Lambin (9 shared papers)Abdalla Ibrahim (5 shared papers)Sebastian Sanduleanu (4 shared papers)Turkey Refaee (3 shared papers)Ralph T. H. Leijenaar (4 shared papers)Janita E. van Timmeren (4 shared papers)Sergey P. Primakov (5 shared papers)
- Journals
- British Journal of Radiology (2 papers)Cancers (2 papers)Scientific Reports (2 papers)Journal of Magnetic Resonance Imaging (1 paper)JCO Clinical Cancer Informatics (1 paper)
- Partner nations
- NetherlandsGermanyItaly
In The Last Decade
Simon Keek
16 papers receiving 766 citations
Peers
Comparison fields: 5 of 75
- Health Informatics 56
- Radiology, Nuclear Medicine and Imaging 473
- Otorhinolaryngology 39
- Pulmonary and Respiratory Medicine 157
- Artificial Intelligence 131
Countries citing papers authored by Simon Keek
This map shows the geographic impact of Simon Keek'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 Simon Keek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Keek more than expected).
Fields of papers citing papers by Simon Keek
This network shows the impact of papers produced by Simon Keek. 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 Simon Keek. The network helps show where Simon Keek may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Keek, 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 | 2020 | 265 | |
| 2 | 2019 | 108 | |
| 3 | 2022 | 107 | |
| 4 | 2018 | 61 | |
| 5 | 2020 | 50 | |
| 6 | 2019 | 46 | |
| 7 | 2020 | 39 | |
| 8 | 2020 | 23 | |
| 9 | 2021 | 21 | |
| 10 | 2021 | 20 | |
| 11 | 2020 | 12 | |
| 12 | 2022 | 11 | |
| 13 | 2022 | 9 | |
| 14 | 2024 | 3 | |
| 15 | 2022 | 1 | |
| 16 | 2024 | 1 |
About Simon Keek
Simon Keek is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence, Health Information Management and Oncology, having authored 16 papers that have together received 777 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (16 papers), Medical Imaging Techniques and Applications (4 papers), AI in cancer detection (3 papers), Advanced X-ray and CT Imaging (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Sarcoma Diagnosis and Treatment (1 paper) and MRI in cancer diagnosis (1 paper). The work is most often cited by research in Health Informatics (56 citations), Radiology, Nuclear Medicine and Imaging (473 citations), Otorhinolaryngology (39 citations), Pulmonary and Respiratory Medicine (157 citations) and Artificial Intelligence (131 citations). Simon Keek has collaborated with scholars based in Netherlands, Germany and Italy. Frequent co-authors include Henry C. Woodruff, Philippe Lambin, Abdalla Ibrahim, Sebastian Sanduleanu, Turkey Refaee, Ralph T. H. Leijenaar, Janita E. van Timmeren, Sergey P. Primakov, Arthur Jochems and Renée W. Y. Granzier. Their work appears in journals such as British Journal of Radiology, Cancers, Scientific Reports, Journal of Magnetic Resonance Imaging and JCO Clinical Cancer Informatics.
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.