Mario Sansone
- Radiology, Nuclear Medicine and Imaging top 1%
- Biomedical Engineering top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Artificial Intelligence top 5%
- Cognitive Neuroscience top 5%
- Co-authors
- Roberta FuscoAntonella PetrilloCarlo SansoneVincenza GranataMario CesarelliPaolo BifulcoGabriele PiantadosiLeandro Pecchia
- Topics
- Radiomics and Machine Learning in Medical Imaging (48 papers)MRI in cancer diagnosis (44 papers)Advanced MRI Techniques and Applications (20 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingCardiology and Cardiovascular MedicineHealth Informatics
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONENeuroImage
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Mario Sansone
99 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 153
- Radiology, Nuclear Medicine and Imaging 982
- Biomedical Engineering 447
- Cardiology and Cardiovascular Medicine 446
- Artificial Intelligence 349
- Cognitive Neuroscience 277
Countries citing papers authored by Mario Sansone
This map shows the geographic impact of Mario Sansone'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 Mario Sansone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Sansone more than expected).
Fields of papers citing papers by Mario Sansone
This network shows the impact of papers produced by Mario Sansone. 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 Mario Sansone. The network helps show where Mario Sansone may publish in the future.
Co-authorship network of co-authors of Mario Sansone
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Sansone. A scholar is included among the top collaborators of Mario Sansone 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 Mario Sansone. Mario Sansone 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 33 | |
| 10 | 11 | |
| 11 | 4 | |
| 12 | 7 | |
| 13 | 9 | |
| 14 | 33 | |
| 15 | 17 | |
| 16 | 57 | |
| 17 | 90 | |
| 18 | 40 | |
| 19 | 10 | |
| 20 | 2 |
About Mario Sansone
Mario Sansone is a scholar working on Radiology, Nuclear Medicine and Imaging, Medical Laboratory Technology and Cardiology and Cardiovascular Medicine, having authored 105 papers that have together received 2.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (48 papers), MRI in cancer diagnosis (44 papers) and Advanced MRI Techniques and Applications (20 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (982 citations), Cardiology and Cardiovascular Medicine (446 citations) and Health Informatics (26 citations). Mario Sansone has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Roberta Fusco, Antonella Petrillo, Carlo Sansone, Vincenza Granata, Mario Cesarelli, Paolo Bifulco, Gabriele Piantadosi, Leandro Pecchia, Paolo Melillo and Antonio Fratini. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.
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.