Francesco Calivá
- Health Informatics top 5%
- Ophthalmology top 2%
- Retinal Diseases and Treatments 10
- Glaucoma and retinal disorders 5
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- Retinal Imaging and Analysis 12
- Medical Imaging Techniques and Applications 3
- Rheumatology top 5%
- Osteoarthritis Treatment and Mechanisms 10
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- Digital Imaging for Blood Diseases 3
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- Advanced X-ray and CT Imaging 5
- Lower Extremity Biomechanics and Pathologies 5
- Co-authors
- Valentina PedoiaBashir Al-DiriAndrew HunterSomshubra MajumdarSharmila MajumdarRichard KijowskiFang LiuGeorgios Leontidis
- Journals
- Scientific Reports (2 papers)Diabetologia (1 paper)Magnetic Resonance in Medicine (1 paper)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Francesco Calivá
38 papers receiving 695 citations
Peers
Comparison fields: 5 of 96
- Health Informatics 37
- Ophthalmology 186
- Radiology, Nuclear Medicine and Imaging 344
- Rheumatology 166
- Computer Vision and Pattern Recognition 146
Countries citing papers authored by Francesco Calivá
This map shows the geographic impact of Francesco Calivá'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 Francesco Calivá with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Calivá more than expected).
Fields of papers citing papers by Francesco Calivá
This network shows the impact of papers produced by Francesco Calivá. 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 Francesco Calivá. The network helps show where Francesco Calivá may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Francesco Calivá, 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 | 2023 | 2 | |
| 2 | 2023 | 8 | |
| 3 | 2022 | 6 | |
| 4 | 2022 | 6 | |
| 5 | 2022 | 9 | |
| 6 | 2021 | 24 | |
| 7 | 2021 | 14 | |
| 8 | 2020 | 24 | |
| 9 | 2020 | 43 | |
| 10 | 2020 | 22 | |
| 11 | Breaking Speed Limits with Simultaneous Ultra-Fast MRI Reconstruction and Tissue Segmentation | 2020 | 6 |
| 12 | 2020 | 49 | |
| 13 | 2020 | 6 | |
| 14 | Addressing The False Negative Problem of Deep Learning MRI Reconstruction Models by Adversarial Attacks and Robust Training | 2020 | 11 |
| 15 | 2019 | 72 | |
| 16 | 2018 | 151 | |
| 17 | 2018 | 21 | |
| 18 | Towards a Deep Unified Framework for Nuclear Reactor Perturbation Analysis | 2018 | 10 |
| 19 | 2017 | 11 | |
| 20 | Study of the retinal vascular changes between the early stages of diabetes and first year of diabetic retinopathy | 2015 | 2 |
About Francesco Calivá
Francesco Calivá is a scholar working on Ophthalmology, Equine and Radiology, Nuclear Medicine and Imaging, having authored 38 papers that have together received 715 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (12 papers), Retinal Diseases and Treatments (10 papers), Osteoarthritis Treatment and Mechanisms (10 papers), Advanced X-ray and CT Imaging (5 papers), Glaucoma and retinal disorders (5 papers), Lower Extremity Biomechanics and Pathologies (5 papers), Medical Imaging Techniques and Applications (3 papers) and Digital Imaging for Blood Diseases (3 papers). The work is most often cited by research in Health Informatics (37 citations), Ophthalmology (186 citations) and Radiology, Nuclear Medicine and Imaging (344 citations). Francesco Calivá has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Valentina Pedoia, Bashir Al-Diri, Andrew Hunter, Somshubra Majumdar, Sharmila Majumdar, Richard Kijowski, Fang Liu, Georgios Leontidis, Stefanos Kollias and Felix Liu. Their work appears in journals such as Scientific Reports, Diabetologia and Magnetic Resonance in Medicine.
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.