Stefano Allegretti
- Computer Vision and Pattern Recognition top 10%
- Oral Surgery top 10%
- Radiology, Nuclear Medicine and Imaging
- Biomedical Engineering
- Artificial Intelligence
- Co-authors
- Costantino GranaFederico BolelliLorenzo BaraldiFederico PollastriMattia Di BartolomeoAlexandre AnesiGiovanni PellacaniLuigi Chiarini
- Topics
- Digital Image Processing Techniques (8 papers)Medical Image Segmentation Techniques (7 papers)Medical Imaging Techniques and Applications (3 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingIEEE Access
- Partner nations
- ItalyGermanySouth Korea
In The Last Decade
Stefano Allegretti
13 papers receiving 186 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 68
- Oral Surgery 60
- Radiology, Nuclear Medicine and Imaging 37
- Biomedical Engineering 36
- Artificial Intelligence 26
Countries citing papers authored by Stefano Allegretti
This map shows the geographic impact of Stefano Allegretti'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 Stefano Allegretti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Allegretti more than expected).
Fields of papers citing papers by Stefano Allegretti
This network shows the impact of papers produced by Stefano Allegretti. 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 Stefano Allegretti. The network helps show where Stefano Allegretti may publish in the future.
Co-authorship network of co-authors of Stefano Allegretti
This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Allegretti. A scholar is included among the top collaborators of Stefano Allegretti 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 Stefano Allegretti. Stefano Allegretti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 9 | |
| 3 | 36 | |
| 4 | 14 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 19 | |
| 8 | 10 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 54 | |
| 12 | 24 | |
| 13 | 7 |
About Stefano Allegretti
Stefano Allegretti is a scholar working on Health Informatics, Oral Surgery and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 187 indexed citations. Recurring topics across this work include Digital Image Processing Techniques (8 papers), Medical Image Segmentation Techniques (7 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Oral Surgery (60 citations), Computer Vision and Pattern Recognition (68 citations) and Health Informatics (4 citations). Stefano Allegretti has collaborated with scholars based in Italy, Germany and South Korea. Frequent co-authors include Costantino Grana, Federico Bolelli, Lorenzo Baraldi, Federico Pollastri, Mattia Di Bartolomeo, Alexandre Anesi, Giovanni Pellacani, Luigi Chiarini, Won‐Sang Lee and Riccardo Nocini. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing 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.