Ivan Fumagalli
- Cardiology and Cardiovascular Medicine top 10%
- Computational Mechanics
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging
- Surgery
- Co-authors
- Alfio QuarteroniLuca Dede’Alberto ZingaroPasquale Claudio AfricaMichele BucelliMarco FedeleChristian VergaraAntonio F. Corno
- Topics
- Cardiovascular Function and Risk Factors (10 papers)Cardiac Valve Diseases and Treatments (7 papers)Advanced Numerical Methods in Computational Mathematics (7 papers)
- Cited by
- Cardiology and Cardiovascular MedicineComputational MechanicsStatistical and Nonlinear Physics
- Partner nations
- ItalySwitzerlandUnited States
In The Last Decade
Ivan Fumagalli
17 papers receiving 281 citations
Peers
Comparison fields: 5 of 46
- Cardiology and Cardiovascular Medicine 188
- Computational Mechanics 61
- Biomedical Engineering 59
- Radiology, Nuclear Medicine and Imaging 54
- Surgery 35
Countries citing papers authored by Ivan Fumagalli
This map shows the geographic impact of Ivan Fumagalli'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 Ivan Fumagalli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Fumagalli more than expected).
Fields of papers citing papers by Ivan Fumagalli
This network shows the impact of papers produced by Ivan Fumagalli. 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 Ivan Fumagalli. The network helps show where Ivan Fumagalli may publish in the future.
Co-authorship network of co-authors of Ivan Fumagalli
This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Fumagalli. A scholar is included among the top collaborators of Ivan Fumagalli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ivan Fumagalli. Ivan Fumagalli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 0 | |
| 8 | 9 | |
| 9 | 15 | |
| 10 | 10 | |
| 11 | 22 | |
| 12 | 27 | |
| 13 | 35 | |
| 14 | 18 | |
| 15 | 9 | |
| 16 | 62 | |
| 17 | 35 | |
| 18 | 1 | |
| 19 | 13 | |
| 20 | 7 |
About Ivan Fumagalli
Ivan Fumagalli is a scholar working on Cardiology and Cardiovascular Medicine, Computational Mechanics and Computational Theory and Mathematics, having authored 21 papers that have together received 286 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (10 papers), Cardiac Valve Diseases and Treatments (7 papers) and Advanced Numerical Methods in Computational Mathematics (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (188 citations), Computational Mechanics (61 citations) and Statistical and Nonlinear Physics (29 citations). Ivan Fumagalli has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Alfio Quarteroni, Luca Dede’, Alberto Zingaro, Pasquale Claudio Africa, Michele Bucelli, Marco Fedele, Christian Vergara, Antonio F. Corno, Nicola Parolini and Roberto Scrofani. Their work appears in journals such as Journal of Computational Physics, Computer Physics Communications and Frontiers in Physiology.
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.