Giovanni Savini
- Radiology, Nuclear Medicine and Imaging
- Cognitive Neuroscience
- Neurology
- Molecular Biology
- Biomedical Engineering
- Co-authors
- Claudia A. M. Gandini Wheeler‐KingshottEgidio D’AngeloGloria CastellazziFulvia PalesiLetizia CasiraghiA. LascialfariKarl FristonStefania Bruno
- Topics
- Radiomics and Machine Learning in Medical Imaging (5 papers)Medical Imaging and Analysis (5 papers)Advanced Neuroimaging Techniques and Applications (5 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Giovanni Savini
17 papers receiving 180 citations
Peers
Comparison fields: 5 of 57
- Radiology, Nuclear Medicine and Imaging 77
- Cognitive Neuroscience 60
- Neurology 46
- Molecular Biology 28
- Biomedical Engineering 23
Countries citing papers authored by Giovanni Savini
This map shows the geographic impact of Giovanni Savini'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 Giovanni Savini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giovanni Savini more than expected).
Fields of papers citing papers by Giovanni Savini
This network shows the impact of papers produced by Giovanni Savini. 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 Giovanni Savini. The network helps show where Giovanni Savini may publish in the future.
Co-authorship network of co-authors of Giovanni Savini
This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Savini. A scholar is included among the top collaborators of Giovanni Savini 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 Giovanni Savini. Giovanni Savini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 12 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 15 | |
| 12 | 20 | |
| 13 | 8 | |
| 14 | 30 | |
| 15 | 24 | |
| 16 | 25 | |
| 17 | 25 | |
| 18 | Feline morbillivirus infection in domestic cats in Italy: epidemiological and pathological aspects | 2 |
About Giovanni Savini
Giovanni Savini is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 18 papers that have together received 183 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Imaging and Analysis (5 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). The work is most often cited by research in Neurology (46 citations), Radiology, Nuclear Medicine and Imaging (77 citations) and Cognitive Neuroscience (60 citations). Giovanni Savini has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Claudia A. M. Gandini Wheeler‐Kingshott, Egidio D’Angelo, Gloria Castellazzi, Fulvia Palesi, Letizia Casiraghi, A. Lascialfari, Karl Friston, Stefania Bruno, Ahmed Toosy and Anna Pichiecchio. Their work appears in journals such as Scientific Reports, Cerebral Cortex and Human Brain Mapping.
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.