Frederik Deman
Impact in
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- Breast Cancer Treatment Studies
Papers in
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- AI in cancer detection 4
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- Radiomics and Machine Learning in Medical Imaging 3
- Medical Imaging Techniques and Applications 1
- Co-authors
- Ines Nevelsteen (1 shared paper)Chantal Van Ongeval (1 shared paper)Hans Wildiers (1 shared paper)Ann Smeets (1 shared paper)Patrick Neven (1 shared paper)Hilde Janssen (1 shared paper)Christine Desmedt (1 shared paper)Kevin Punie (1 shared paper)
In The Last Decade
Frederik Deman
3 papers receiving 14 citations
Peers
Comparison fields: 5 of 14
- Health Informatics 1
- Cancer Research 7
- Biophysics 2
- Pathology and Forensic Medicine 6
- Radiology, Nuclear Medicine and Imaging 7
Countries citing papers authored by Frederik Deman
This map shows the geographic impact of Frederik Deman'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 Frederik Deman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frederik Deman more than expected).
Fields of papers citing papers by Frederik Deman
This network shows the impact of papers produced by Frederik Deman. 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 Frederik Deman. The network helps show where Frederik Deman may publish in the future.
Co-authors
The 25 scholars most cited alongside Frederik Deman, 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 | 9 | |
| 2 | 2024 | 5 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2020 | 0 | |
| 8 | 2025 | 0 |
About Frederik Deman
Frederik Deman is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Surgery, Oncology and Health Informatics, having authored 8 papers that have together received 15 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Gastric Cancer Management and Outcomes (1 paper), Breast Cancer Treatment Studies (1 paper), Medical Imaging Techniques and Applications (1 paper) and Pancreatitis Pathology and Treatment (1 paper). The work is most often cited by research in Health Informatics (1 citation), Cancer Research (7 citations), Biophysics (2 citations), Pathology and Forensic Medicine (6 citations) and Radiology, Nuclear Medicine and Imaging (7 citations). Frederik Deman has collaborated with scholars based in Belgium, Australia and France. Frequent co-authors include Ines Nevelsteen, Chantal Van Ongeval, Hans Wildiers, Ann Smeets, Patrick Neven, Hilde Janssen, Christine Desmedt, Kevin Punie, Eva Oldenburger and Annouschka Laenen. Their work appears in journals such as Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Histopathology, Journal of Gastroenterology and Hepatology, Journal of Clinical Oncology and ESMO Open.
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.