Matthias Barral
- Obstetrics and Gynecology top 5%
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- MRI in cancer diagnosis 10
- Radiomics and Machine Learning in Medical Imaging 6
- Oncology top 10%
- Internal Medicine top 10%
- Reproductive Medicine top 10%
- Endometriosis Research and Treatment 5
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- Prostate Cancer Diagnosis and Treatment 8
- Tracheal and airway disorders 6
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- Vascular Anomalies and Treatments 6
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- Intraperitoneal and Appendiceal Malignancies 6
- Gastrointestinal disorders and treatments 5
- Co-authors
- Philippe SoyerChristine HoeffelAnthony DohanF. CornélisAlain LucianiDow‐Mu KohMasayuki KanematsuRiccardo Manfredi
- Journals
- Diagnostic and Interventional Imaging (12 papers)European Radiology (5 papers)Journal of Vascular and Interventional Radiology (4 papers)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Matthias Barral
65 papers receiving 930 citations
Peers
Comparison fields: 5 of 84
- Obstetrics and Gynecology 98
- Radiology, Nuclear Medicine and Imaging 286
- Oncology 268
- Internal Medicine 35
- Reproductive Medicine 77
Countries citing papers authored by Matthias Barral
This map shows the geographic impact of Matthias Barral'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 Matthias Barral with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Barral more than expected).
Fields of papers citing papers by Matthias Barral
This network shows the impact of papers produced by Matthias Barral. 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 Matthias Barral. The network helps show where Matthias Barral may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthias Barral, 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 | 2024 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 13 | |
| 6 | 2021 | 15 | |
| 7 | 2020 | 7 | |
| 8 | 2020 | 5 | |
| 9 | 2020 | 7 | |
| 10 | 2020 | 3 | |
| 11 | 2019 | 5 | |
| 12 | 2019 | 46 | |
| 13 | 2018 | 7 | |
| 14 | 2017 | 21 | |
| 15 | 2016 | 17 | |
| 16 | 2016 | 16 | |
| 17 | 2015 | 4 | |
| 18 | 2015 | 10 | |
| 19 | 2013 | 26 | |
| 20 | 2013 | 30 |
About Matthias Barral
Matthias Barral is a scholar working on Radiology, Nuclear Medicine and Imaging, Internal Medicine and Obstetrics and Gynecology, having authored 70 papers that have together received 940 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (10 papers), Prostate Cancer Diagnosis and Treatment (8 papers), Tracheal and airway disorders (6 papers), Vascular Anomalies and Treatments (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Intraperitoneal and Appendiceal Malignancies (6 papers), Gastrointestinal disorders and treatments (5 papers) and Endometriosis Research and Treatment (5 papers). The work is most often cited by research in Obstetrics and Gynecology (98 citations), Radiology, Nuclear Medicine and Imaging (286 citations) and Oncology (268 citations). Matthias Barral has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Philippe Soyer, Christine Hoeffel, Anthony Dohan, F. Cornélis, Alain Luciani, Dow‐Mu Koh, Masayuki Kanematsu, Riccardo Manfredi, Boris Guiu and Valérie Vilgrain. Their work appears in journals such as Diagnostic and Interventional Imaging, European Radiology, Journal of Vascular and Interventional Radiology, Annals of Intensive Care and Ultrasound in Medicine & Biology.
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.