A. Mervoyer
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
- Obstetrics and Gynecology top 10%
- Endometrial and Cervical Cancer Treatments
Papers in
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- Sarcoma Diagnosis and Treatment 8
- Radiation Therapy and Dosimetry 2
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- Radiomics and Machine Learning in Medical Imaging 5
- Medical Imaging Techniques and Applications 3
- Co-authors
- François Lucia (7 shared papers)Dimitris Visvikis (7 shared papers)Ulrike Schick (7 shared papers)Mathieu Hatt (7 shared papers)Caroline Reinhold (6 shared papers)Ingrid Masson (6 shared papers)Olivier Pradier (6 shared papers)Joanne Alfieri (5 shared papers)
In The Last Decade
A. Mervoyer
28 papers receiving 559 citations
Peers
Comparison fields: 5 of 46
- Radiology, Nuclear Medicine and Imaging 294
- Obstetrics and Gynecology 66
- Health Informatics 11
- Genetics 51
- Pulmonary and Respiratory Medicine 125
Countries citing papers authored by A. Mervoyer
This map shows the geographic impact of A. Mervoyer'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 A. Mervoyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Mervoyer more than expected).
Fields of papers citing papers by A. Mervoyer
This network shows the impact of papers produced by A. Mervoyer. 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 A. Mervoyer. The network helps show where A. Mervoyer may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Mervoyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 145 | |
| 2 | 2020 | 136 | |
| 3 | 2021 | 30 | |
| 4 | 2013 | 27 | |
| 5 | 2016 | 26 | |
| 6 | 2021 | 21 | |
| 7 | 2016 | 21 | |
| 8 | 2018 | 19 | |
| 9 | 2021 | 19 | |
| 10 | 2023 | 17 | |
| 11 | 2016 | 16 | |
| 12 | 2012 | 15 | |
| 13 | 2023 | 13 | |
| 14 | 2018 | 10 | |
| 15 | 2010 | 8 | |
| 16 | 2025 | 7 | |
| 17 | 2018 | 7 | |
| 18 | 2018 | 6 | |
| 19 | 2010 | 4 | |
| 20 | 2024 | 3 |
About A. Mervoyer
A. Mervoyer is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Genetics, Radiation and Oncology, having authored 32 papers that have together received 564 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (8 papers), Glioma Diagnosis and Treatment (7 papers), Advanced Radiotherapy Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Imaging Techniques and Applications (3 papers), Meningioma and schwannoma management (3 papers), Radiation Therapy and Dosimetry (2 papers) and Management of metastatic bone disease (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (294 citations), Obstetrics and Gynecology (66 citations), Health Informatics (11 citations), Genetics (51 citations) and Pulmonary and Respiratory Medicine (125 citations). A. Mervoyer has collaborated with scholars based in France, Canada and Italy. Frequent co-authors include François Lucia, Dimitris Visvikis, Ulrike Schick, Mathieu Hatt, Caroline Reinhold, Ingrid Masson, Olivier Pradier, Joanne Alfieri, Philippe Robin and Pietro Andrea Bonaffini. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, European Journal of Nuclear Medicine and Molecular Imaging, Radiotherapy and Oncology, Journal of Clinical Oncology and Neuro-Oncology.
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.