Antonio Brunetti
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Biomedical Engineering
- Neurology top 10%
- Co-authors
- Vitoantonio BevilacquaDomenico BuongiornoGianpaolo Francesco TrottaGiacomo Donato CascaranoNicola AltiniLeonarda CarnimeoAndrea GuerrieroLoreto Gesualdo
- Topics
- AI in cancer detection (17 papers)Radiomics and Machine Learning in Medical Imaging (13 papers)Advanced X-ray and CT Imaging (11 papers)
- Cited by
- Health InformaticsComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Partner nations
- ItalyUnited StatesJapan
In The Last Decade
Antonio Brunetti
72 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Computer Vision and Pattern Recognition 480
- Artificial Intelligence 382
- Radiology, Nuclear Medicine and Imaging 335
- Biomedical Engineering 243
- Neurology 116
Countries citing papers authored by Antonio Brunetti
This map shows the geographic impact of Antonio Brunetti'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 Antonio Brunetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Brunetti more than expected).
Fields of papers citing papers by Antonio Brunetti
This network shows the impact of papers produced by Antonio Brunetti. 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 Antonio Brunetti. The network helps show where Antonio Brunetti may publish in the future.
Co-authorship network of co-authors of Antonio Brunetti
This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Brunetti. A scholar is included among the top collaborators of Antonio Brunetti 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 Antonio Brunetti. Antonio Brunetti 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 | 4 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 8 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 8 | |
| 13 | 8 | |
| 14 | 10 | |
| 15 | 32 | |
| 16 | 65 | |
| 17 | 5 | |
| 18 | 25 | |
| 19 | 60 | |
| 20 | 63 |
About Antonio Brunetti
Antonio Brunetti is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Computer Vision and Pattern Recognition, having authored 80 papers that have together received 1.6k indexed citations. Recurring topics across this work include AI in cancer detection (17 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Advanced X-ray and CT Imaging (11 papers). The work is most often cited by research in Health Informatics (32 citations), Computer Vision and Pattern Recognition (480 citations) and Radiology, Nuclear Medicine and Imaging (335 citations). Antonio Brunetti has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Vitoantonio Bevilacqua, Domenico Buongiorno, Gianpaolo Francesco Trotta, Giacomo Donato Cascarano, Nicola Altini, Leonarda Carnimeo, Andrea Guerriero, Loreto Gesualdo, Marco Moschetta and Giovanni Dimauro. Their work appears in journals such as PLoS ONE, Scientific Reports and IEEE Access.
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.