Manon Beuque
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
- Health Informatics top 10%
Papers in
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- Radiomics and Machine Learning in Medical Imaging 9
- Medical Imaging Techniques and Applications 2
- Advanced MRI Techniques and Applications 2
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- Digital Radiography and Breast Imaging 2
- Blood properties and coagulation 1
- Co-authors
- Philippe Lambin (11 shared papers)Henry C. Woodruff (10 shared papers)Sergey Primakov (6 shared papers)Abdalla Ibrahim (2 shared papers)Renée W. Y. Granzier (3 shared papers)Turkey Refaee (2 shared papers)Janita E. van Timmeren (4 shared papers)Iva Halilaj (2 shared papers)
- Journals
- Methods (1 paper)Frontiers in Oncology (1 paper)British Journal of Radiology (1 paper)Journal of Pathology Informatics (1 paper)Radiology (1 paper)
- Partner nations
- NetherlandsBelgiumSwitzerland
In The Last Decade
Manon Beuque
13 papers receiving 495 citations
Peers
Comparison fields: 5 of 56
- Radiology, Nuclear Medicine and Imaging 316
- Health Informatics 19
- Pulmonary and Respiratory Medicine 85
- Hepatology 19
- Artificial Intelligence 82
Countries citing papers authored by Manon Beuque
This map shows the geographic impact of Manon Beuque'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 Manon Beuque with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manon Beuque more than expected).
Fields of papers citing papers by Manon Beuque
This network shows the impact of papers produced by Manon Beuque. 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 Manon Beuque. The network helps show where Manon Beuque may publish in the future.
Co-authors
The 25 scholars most cited alongside Manon Beuque, 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 | 237 | |
| 2 | 2020 | 177 | |
| 3 | 2023 | 44 | |
| 4 | 2021 | 17 | |
| 5 | 2022 | 8 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 4 | |
| 8 | 2018 | 3 | |
| 9 | 2023 | 2 | |
| 10 | 2022 | 1 | |
| 11 | 2017 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2021 | 1 |
About Manon Beuque
Manon Beuque is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence, Surgery and Health Informatics, having authored 13 papers that have together received 500 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), AI in cancer detection (6 papers), Artificial Intelligence in Healthcare and Education (2 papers), Esophageal Cancer Research and Treatment (2 papers), Medical Imaging Techniques and Applications (2 papers), Advanced MRI Techniques and Applications (2 papers), Digital Radiography and Breast Imaging (2 papers) and Blood properties and coagulation (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (316 citations), Health Informatics (19 citations), Pulmonary and Respiratory Medicine (85 citations), Hepatology (19 citations) and Artificial Intelligence (82 citations). Manon Beuque has collaborated with scholars based in Netherlands, Belgium and Switzerland. Frequent co-authors include Philippe Lambin, Henry C. Woodruff, Sergey Primakov, Abdalla Ibrahim, Renée W. Y. Granzier, Turkey Refaee, Janita E. van Timmeren, Iva Halilaj, Roland Hustinx and Felix M. Mottaghy. Their work appears in journals such as Methods, Frontiers in Oncology, British Journal of Radiology, Journal of Pathology Informatics and 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.