Anna Corti
Impact in
- Modeling and Simulation top 10%
- Mathematical Biology Tumor Growth
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- Coronary Interventions and Diagnostics
- Peripheral Artery Disease Management
Papers in ⓘ
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- Mathematical Biology Tumor Growth 5
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- Radiomics and Machine Learning in Medical Imaging 10
- Cardiac Imaging and Diagnostics 6
- Co-authors
- Claudio Chiastra (18 shared papers)Francesco Migliavacca (14 shared papers)Monika Colombo (9 shared papers)Stefano Casarin (7 shared papers)Scott A. Berceli (7 shared papers)José Félix Rodríguez Matas (6 shared papers)Diego Gallo (6 shared papers)Marc Garbey (1 shared paper)
- Journals
- Computer Methods and Programs in Biomedicine (4 papers)Scientific Reports (3 papers)Computers in Biology and Medicine (3 papers)Frontiers in Bioengineering and Biotechnology (2 papers)Annals of Biomedical Engineering (2 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Anna Corti
27 papers receiving 291 citations
Peers
Comparison fields: 5 of 59
- Modeling and Simulation 28
- Surgery 198
- Fluid Flow and Transfer Processes 25
- Cardiology and Cardiovascular Medicine 75
- Radiology, Nuclear Medicine and Imaging 61
Countries citing papers authored by Anna Corti
This map shows the geographic impact of Anna Corti'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 Anna Corti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Corti more than expected).
Fields of papers citing papers by Anna Corti
This network shows the impact of papers produced by Anna Corti. 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 Anna Corti. The network helps show where Anna Corti may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Corti, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 44 | |
| 2 | 2021 | 30 | |
| 3 | 2021 | 25 | |
| 4 | 2022 | 20 | |
| 5 | 2022 | 19 | |
| 6 | 2021 | 19 | |
| 7 | 2022 | 17 | |
| 8 | 2023 | 14 | |
| 9 | 2021 | 14 | |
| 10 | 2022 | 13 | |
| 11 | 2022 | 12 | |
| 12 | 2023 | 12 | |
| 13 | 2023 | 9 | |
| 14 | 2024 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2024 | 2 |
About Anna Corti
Anna Corti is a scholar working on Modeling and Simulation, Radiology, Nuclear Medicine and Imaging, Surgery, Otorhinolaryngology and Pulmonary and Respiratory Medicine, having authored 33 papers that have together received 291 indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (14 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Peripheral Artery Disease Management (10 papers), Aortic aneurysm repair treatments (6 papers), Cardiac Imaging and Diagnostics (6 papers), Mathematical Biology Tumor Growth (5 papers), Advanced X-ray and CT Imaging (4 papers) and Cardiovascular Health and Disease Prevention (4 papers). The work is most often cited by research in Modeling and Simulation (28 citations), Surgery (198 citations), Fluid Flow and Transfer Processes (25 citations), Cardiology and Cardiovascular Medicine (75 citations) and Radiology, Nuclear Medicine and Imaging (61 citations). Anna Corti has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Claudio Chiastra, Francesco Migliavacca, Monika Colombo, Stefano Casarin, Scott A. Berceli, José Félix Rodríguez Matas, Diego Gallo, Marc Garbey, Yong He and Valentina Corino. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Scientific Reports, Computers in Biology and Medicine, Frontiers in Bioengineering and Biotechnology and Annals of Biomedical Engineering.
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.