Francesco Prinzi
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics top 5%
- Co-authors
- Salvatore VitabileSalvatore GaglioAlessia Angela Maria OrlandoCarmelo MilitelloLeonardo RundoLudovico La GruttaNicola ScichiloneVincenzo Conti
- Topics
- Radiomics and Machine Learning in Medical Imaging (10 papers)AI in cancer detection (8 papers)MRI in cancer diagnosis (3 papers)
- Partner nations
- ItalyUnited KingdomSwitzerland
In The Last Decade
Francesco Prinzi
13 papers receiving 232 citations
Peers
Comparison fields: 5 of 74
- Radiology, Nuclear Medicine and Imaging 134
- Artificial Intelligence 125
- Biomedical Engineering 29
- Computer Vision and Pattern Recognition 28
- Health Informatics 28
Countries citing papers authored by Francesco Prinzi
This map shows the geographic impact of Francesco Prinzi'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 Francesco Prinzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Prinzi more than expected).
Fields of papers citing papers by Francesco Prinzi
This network shows the impact of papers produced by Francesco Prinzi. 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 Francesco Prinzi. The network helps show where Francesco Prinzi may publish in the future.
Co-authorship network of co-authors of Francesco Prinzi
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Prinzi. A scholar is included among the top collaborators of Francesco Prinzi 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 Francesco Prinzi. Francesco Prinzi 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 | 0 | |
| 3 | 5 | |
| 4 | 13 | |
| 5 | 21 | |
| 6 | 16 | |
| 7 | 10 | |
| 8 | 30 | |
| 9 | 11 | |
| 10 | 15 | |
| 11 | 23 | |
| 12 | 73 | |
| 13 | 2 | |
| 14 | 27 |
About Francesco Prinzi
Francesco Prinzi is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 14 papers that have together received 247 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), AI in cancer detection (8 papers) and MRI in cancer diagnosis (3 papers). The work is most often cited by research in Health Informatics (28 citations), Radiology, Nuclear Medicine and Imaging (134 citations) and Artificial Intelligence (125 citations). Francesco Prinzi has collaborated with scholars based in Italy, United Kingdom and Switzerland. Frequent co-authors include Salvatore Vitabile, Salvatore Gaglio, Alessia Angela Maria Orlando, Carmelo Militello, Leonardo Rundo, Ludovico La Grutta, Nicola Scichilone, Vincenzo Conti, Eros Pasero and Giansalvo Cirrincione. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Sensors.
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.