Ronrick Da‐ano
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
- Health Informatics top 10%
Papers in
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- Radiomics and Machine Learning in Medical Imaging 8
- Medical Imaging Techniques and Applications 2
- MRI in cancer diagnosis 1
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- Lung Cancer Diagnosis and Treatment 3
- Gastric Cancer Management and Outcomes 1
- Co-authors
- Dimitris Visvikis (9 shared papers)Mathieu Hatt (7 shared papers)Ulrike Schick (5 shared papers)Olivier Pradier (4 shared papers)Ingrid Masson (4 shared papers)François Lucia (4 shared papers)R. de Crevoisier (2 shared papers)Gurvan Dissaux (2 shared papers)
In The Last Decade
Ronrick Da‐ano
9 papers receiving 506 citations
Peers
Comparison fields: 5 of 35
- Radiology, Nuclear Medicine and Imaging 397
- Health Informatics 15
- Pulmonary and Respiratory Medicine 101
- Radiation 24
- Biomedical Engineering 93
Countries citing papers authored by Ronrick Da‐ano
This map shows the geographic impact of Ronrick Da‐ano'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 Ronrick Da‐ano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronrick Da‐ano more than expected).
Fields of papers citing papers by Ronrick Da‐ano
This network shows the impact of papers produced by Ronrick Da‐ano. 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 Ronrick Da‐ano. The network helps show where Ronrick Da‐ano may publish in the future.
Co-authors
The 25 scholars most cited alongside Ronrick Da‐ano, 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 | 2019 | 138 | |
| 2 | 2020 | 138 | |
| 3 | 2020 | 110 | |
| 4 | 2020 | 50 | |
| 5 | 2021 | 31 | |
| 6 | 2021 | 18 | |
| 7 | 2021 | 17 | |
| 8 | 2024 | 8 | |
| 9 | 2024 | 1 |
About Ronrick Da‐ano
Ronrick Da‐ano is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology, Artificial Intelligence and Biomedical Engineering, having authored 9 papers that have together received 511 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), Lung Cancer Diagnosis and Treatment (3 papers), Medical Imaging Techniques and Applications (2 papers), Cancer Immunotherapy and Biomarkers (1 paper), Advanced X-ray and CT Imaging (1 paper), MRI in cancer diagnosis (1 paper), Gastric Cancer Management and Outcomes (1 paper) and AI in cancer detection (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (397 citations), Health Informatics (15 citations), Pulmonary and Respiratory Medicine (101 citations), Radiation (24 citations) and Biomedical Engineering (93 citations). Ronrick Da‐ano has collaborated with scholars based in France and Canada. Frequent co-authors include Dimitris Visvikis, Mathieu Hatt, Ulrike Schick, Olivier Pradier, Ingrid Masson, François Lucia, R. de Crevoisier, Gurvan Dissaux, Caroline Rousseau and Ronan Abgral. Their work appears in journals such as Scientific Reports, Radiotherapy and Oncology, Journal of Nuclear Medicine, Physics in Medicine and Biology and European 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.