Federico Bolelli
Impact in
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- Digital Image Processing Techniques
- Medical Image Segmentation Techniques
- Image and Object Detection Techniques
- Image Retrieval and Classification Techniques
- Oral Surgery top 5%
- Dental Radiography and Imaging
Papers in
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- Digital Image Processing Techniques 20
- Medical Image Segmentation Techniques 18
- Advanced Image and Video Retrieval Techniques 7
- Image Retrieval and Classification Techniques 7
- Image and Object Detection Techniques 6
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- AI in cancer detection 11
- Co-authors
- Costantino Grana (55 shared papers)Stefano Allegretti (19 shared papers)Lorenzo Baraldi (10 shared papers)Federico Pollastri (16 shared papers)Roberto Paredes (1 shared paper)Guido Borghi (2 shared papers)Elisa Ficarra (14 shared papers)Roberto Vezzani (1 shared paper)
In The Last Decade
Federico Bolelli
61 papers receiving 821 citations
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 460
- Oral Surgery 114
- Health Informatics 15
- Radiology, Nuclear Medicine and Imaging 153
- Computer Graphics and Computer-Aided Design 26
Countries citing papers authored by Federico Bolelli
This map shows the geographic impact of Federico Bolelli'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 Federico Bolelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Bolelli more than expected).
Fields of papers citing papers by Federico Bolelli
This network shows the impact of papers produced by Federico Bolelli. 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 Federico Bolelli. The network helps show where Federico Bolelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Federico Bolelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 69 | |
| 2 | 2019 | 69 | |
| 3 | 2022 | 49 | |
| 4 | 2020 | 40 | |
| 5 | 2016 | 36 | |
| 6 | 2016 | 33 | |
| 7 | 2018 | 32 | |
| 8 | 2019 | 31 | |
| 9 | 2018 | 26 | |
| 10 | 2022 | 26 | |
| 11 | 2021 | 24 | |
| 12 | 2018 | 23 | |
| 13 | 2017 | 23 | |
| 14 | 2017 | 22 | |
| 15 | 2018 | 21 | |
| 16 | 2019 | 21 | |
| 17 | 2017 | 20 | |
| 18 | 2024 | 19 | |
| 19 | 2017 | 18 | |
| 20 | 2023 | 16 |
About Federico Bolelli
Federico Bolelli is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Oral Surgery and Oncology, having authored 66 papers that have together received 831 indexed citations. Recurring topics across this work include Digital Image Processing Techniques (20 papers), Medical Image Segmentation Techniques (18 papers), AI in cancer detection (11 papers), Dental Radiography and Imaging (9 papers), Advanced Image and Video Retrieval Techniques (7 papers), Image Retrieval and Classification Techniques (7 papers), Image and Object Detection Techniques (6 papers) and Cutaneous Melanoma Detection and Management (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (460 citations), Oral Surgery (114 citations), Health Informatics (15 citations), Radiology, Nuclear Medicine and Imaging (153 citations) and Computer Graphics and Computer-Aided Design (26 citations). Federico Bolelli has collaborated with scholars based in Italy, Spain and Germany. Frequent co-authors include Costantino Grana, Stefano Allegretti, Lorenzo Baraldi, Federico Pollastri, Roberto Paredes, Guido Borghi, Elisa Ficarra, Roberto Vezzani, Alexandre Anesi and Mattia Di Bartolomeo. Their work appears in journals such as IEEE Access, Lecture notes in computer science, Multimedia Tools and Applications, Clinical Journal of the American Society of Nephrology and IEEE Transactions on Parallel and Distributed Systems.
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.