Federico Bolelli
Impact in
- Oral Surgery top 5%
- Dental Radiography and Imaging
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- Medical Image Segmentation Techniques
- Digital Image Processing Techniques
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Medical Image Segmentation Techniques 13
- Digital Image Processing Techniques 11
- Advanced Image and Video Retrieval Techniques 3
-
- AI in cancer detection 7
- Co-authors
- Costantino Grana (34 shared papers)Federico Pollastri (13 shared papers)Stefano Allegretti (13 shared papers)Lorenzo Baraldi (7 shared papers)Roberto Paredes (1 shared paper)Alexandre Anesi (3 shared papers)Mattia Di Bartolomeo (3 shared papers)Roberto Vezzani (1 shared paper)
In The Last Decade
Federico Bolelli
37 papers receiving 485 citations
Peers
Comparison fields: 5 of 89
- Oral Surgery 85
- Computer Vision and Pattern Recognition 203
- Health Informatics 9
- Radiology, Nuclear Medicine and Imaging 91
- Artificial Intelligence 123
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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 63 | |
| 2 | 2019 | 61 | |
| 3 | 2022 | 38 | |
| 4 | 2020 | 37 | |
| 5 | 2019 | 25 | |
| 6 | 2018 | 24 | |
| 7 | 2016 | 22 | |
| 8 | 2018 | 21 | |
| 9 | 2018 | 20 | |
| 10 | 2021 | 19 | |
| 11 | 2022 | 15 | |
| 12 | 2022 | 15 | |
| 13 | 2018 | 12 | |
| 14 | 2018 | 12 | |
| 15 | 2021 | 12 | |
| 16 | 2021 | 11 | |
| 17 | 2024 | 10 | |
| 18 | 2021 | 9 | |
| 19 | 2023 | 9 | |
| 20 | 2021 | 9 |
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 Biomedical Engineering, having authored 40 papers that have together received 490 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (13 papers), Digital Image Processing Techniques (11 papers), Dental Radiography and Imaging (7 papers), AI in cancer detection (7 papers), Medical Imaging and Analysis (5 papers), Cutaneous Melanoma Detection and Management (4 papers), Medical Imaging Techniques and Applications (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Oral Surgery (85 citations), Computer Vision and Pattern Recognition (203 citations), Health Informatics (9 citations), Radiology, Nuclear Medicine and Imaging (91 citations) and Artificial Intelligence (123 citations). Federico Bolelli has collaborated with scholars based in Italy, Spain and Germany. Frequent co-authors include Costantino Grana, Federico Pollastri, Stefano Allegretti, Lorenzo Baraldi, Roberto Paredes, Alexandre Anesi, Mattia Di Bartolomeo, Roberto Vezzani, Giulia Ligabue and Riccardo Magistroni. Their work appears in journals such as IEEE Access, Clinical Journal of the American Society of Nephrology, Multimedia Tools and Applications, IEEE Transactions on Parallel and Distributed Systems and Engineering Applications of Artificial Intelligence.
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.