Nicoló Savioli
- Cardiology and Cardiovascular Medicine
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition
- Genetics
- Pediatrics, Perinatology and Child Health
- Co-authors
- Pablo LamataGiovanni MontanaMiguel Silva VieiraChristian BenderKathryn A. McGurkFlorian SohlerHannah V. MeyerAntonio de Marvao
- Topics
- Pregnancy and preeclampsia studies (1 paper)Neonatal and fetal brain pathology (1 paper)Cardiomyopathy and Myosin Studies (1 paper)
- Cited by
- Cardiology and Cardiovascular MedicineHealth InformaticsRadiology, Nuclear Medicine and Imaging
- Journals
- Neural Computing and ApplicationsResearch Portal (King's College London)Proceedings of the AAAI Conference on Artificial Intelligence
- Partner nations
- United KingdomGermanySwitzerland
In The Last Decade
Nicoló Savioli
3 papers receiving 33 citations
Peers
Comparison fields: 5 of 19
- Cardiology and Cardiovascular Medicine 20
- Radiology, Nuclear Medicine and Imaging 10
- Computer Vision and Pattern Recognition 6
- Genetics 6
- Pediatrics, Perinatology and Child Health 5
Countries citing papers authored by Nicoló Savioli
This map shows the geographic impact of Nicoló Savioli'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 Nicoló Savioli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicoló Savioli more than expected).
Fields of papers citing papers by Nicoló Savioli
This network shows the impact of papers produced by Nicoló Savioli. 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 Nicoló Savioli. The network helps show where Nicoló Savioli may publish in the future.
Co-authorship network of co-authors of Nicoló Savioli
This figure shows the co-authorship network connecting the top 25 collaborators of Nicoló Savioli. A scholar is included among the top collaborators of Nicoló Savioli 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 Nicoló Savioli. Nicoló Savioli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 19 | |
| 3 | 3 | |
| 4 | 11 |
About Nicoló Savioli
Nicoló Savioli is a scholar working on Obstetrics and Gynecology, Computer Vision and Pattern Recognition and Literature and Literary Theory, having authored 4 papers that have together received 33 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (1 paper), Neonatal and fetal brain pathology (1 paper) and Cardiomyopathy and Myosin Studies (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (20 citations), Health Informatics (1 citation) and Radiology, Nuclear Medicine and Imaging (10 citations). Nicoló Savioli has collaborated with scholars based in United Kingdom, Germany and Switzerland. Frequent co-authors include Pablo Lamata, Giovanni Montana, Miguel Silva Vieira, Christian Bender, Kathryn A. McGurk, Florian Sohler, Hannah V. Meyer, Antonio de Marvao, R Thomas Lumbers and Declan P. O’Regan. Their work appears in journals such as Neural Computing and Applications, Research Portal (King's College London) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.