Francesca Galassi
Impact in
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- Cardiac Imaging and Diagnostics
- Advanced MRI Techniques and Applications
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- Multiple Sclerosis Research Studies
Papers in
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- Medical Image Segmentation Techniques 10
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- Multiple Sclerosis Research Studies 4
- Co-authors
- Robin P. Choudhury (6 shared papers)Mohammad Alkhalil (5 shared papers)Olivier Commowick (3 shared papers)Joshua T. Chai (4 shared papers)Matthew David Robson (4 shared papers)Vicente Grau (2 shared papers)Nicolas Courty (1 shared paper)Christian Barillot (2 shared papers)
- Journals
- PLoS ONE (2 papers)Frontiers in Medicine (1 paper)Pattern Recognition Letters (1 paper)Atherosclerosis (1 paper)New Journal of Physics (1 paper)
- Partner nations
- FranceUnited KingdomItaly
In The Last Decade
Francesca Galassi
19 papers receiving 339 citations
Peers
Comparison fields: 5 of 45
- Radiology, Nuclear Medicine and Imaging 96
- Pathology and Forensic Medicine 71
- Computer Vision and Pattern Recognition 83
- Health Informatics 8
- Pulmonary and Respiratory Medicine 49
Countries citing papers authored by Francesca Galassi
This map shows the geographic impact of Francesca Galassi'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 Francesca Galassi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Galassi more than expected).
Fields of papers citing papers by Francesca Galassi
This network shows the impact of papers produced by Francesca Galassi. 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 Francesca Galassi. The network helps show where Francesca Galassi may publish in the future.
Co-authors
The 25 scholars most cited alongside Francesca Galassi, 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 | 2016 | 57 | |
| 2 | 2020 | 52 | |
| 3 | 2020 | 49 | |
| 4 | 2018 | 39 | |
| 5 | 2018 | 28 | |
| 6 | 2019 | 23 | |
| 7 | 2017 | 19 | |
| 8 | 2011 | 16 | |
| 9 | 2014 | 13 | |
| 10 | 2019 | 13 | |
| 11 | 2021 | 13 | |
| 12 | 2024 | 10 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 3 | |
| 15 | Lipid-rich Core Quantification in Carotid Atherosclerosis Using MRI T2 Mapping - Relation to Clinical Presentation and Plaque Macrophage Activation | 2015 | 2 |
| 16 | 2018 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2019 | 0 |
About Francesca Galassi
Francesca Galassi is a scholar working on Computer Vision and Pattern Recognition, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Health Informatics, having authored 20 papers that have together received 345 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (10 papers), Multiple Sclerosis Research Studies (4 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Medical Imaging and Analysis (3 papers), Cardiac Imaging and Diagnostics (2 papers), Coronary Interventions and Diagnostics (2 papers), Artificial Intelligence in Healthcare and Education (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (96 citations), Pathology and Forensic Medicine (71 citations), Computer Vision and Pattern Recognition (83 citations), Health Informatics (8 citations) and Pulmonary and Respiratory Medicine (49 citations). Francesca Galassi has collaborated with scholars based in France, United Kingdom and Italy. Frequent co-authors include Robin P. Choudhury, Mohammad Alkhalil, Olivier Commowick, Joshua T. Chai, Matthew David Robson, Vicente Grau, Nicolas Courty, Christian Barillot, Emmanuel Vallée and Luca Biasiolli. Their work appears in journals such as PLoS ONE, Frontiers in Medicine, Pattern Recognition Letters, Atherosclerosis and New Journal of Physics.
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.