Albert Comelli
Impact in
- Health Informatics top 5%
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
Papers in ⓘ
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- Radiomics and Machine Learning in Medical Imaging 37
- Medical Imaging Techniques and Applications 15
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- Prostate Cancer Diagnosis and Treatment 9
- Prostate Cancer Treatment and Research 7
- Co-authors
- Alessandro Stefano (41 shared papers)G. Russo (24 shared papers)Anthony Yezzi (17 shared papers)Viviana Benfante (19 shared papers)Giuseppe Salvaggio (12 shared papers)Massimo Ippolito (13 shared papers)M.G. Sabini (11 shared papers)Federica Vernuccio (8 shared papers)
- Journals
- Applied Sciences (7 papers)Life (5 papers)Cancers (2 papers)Computers in Biology and Medicine (2 papers)Neuroradiology (1 paper)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Albert Comelli
65 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Health Informatics 46
- Radiology, Nuclear Medicine and Imaging 710
- Pulmonary and Respiratory Medicine 382
- Computer Vision and Pattern Recognition 168
- Neurology 57
Countries citing papers authored by Albert Comelli
This map shows the geographic impact of Albert Comelli'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 Albert Comelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert Comelli more than expected).
Fields of papers citing papers by Albert Comelli
This network shows the impact of papers produced by Albert Comelli. 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 Albert Comelli. The network helps show where Albert Comelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Albert Comelli, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 63 | |
| 2 | 2021 | 59 | |
| 3 | 2021 | 53 | |
| 4 | 2016 | 49 | |
| 5 | 2019 | 45 | |
| 6 | 2020 | 43 | |
| 7 | 2020 | 38 | |
| 8 | 2020 | 36 | |
| 9 | 2021 | 33 | |
| 10 | 2021 | 32 | |
| 11 | 2024 | 31 | |
| 12 | 2022 | 30 | |
| 13 | 2020 | 30 | |
| 14 | 2021 | 29 | |
| 15 | 2019 | 29 | |
| 16 | 2022 | 27 | |
| 17 | 2022 | 27 | |
| 18 | 2021 | 26 | |
| 19 | 2019 | 25 | |
| 20 | 2021 | 25 |
About Albert Comelli
Albert Comelli is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (37 papers), Medical Imaging Techniques and Applications (15 papers), Advanced X-ray and CT Imaging (12 papers), Prostate Cancer Diagnosis and Treatment (9 papers), Prostate Cancer Treatment and Research (7 papers), Medical Image Segmentation Techniques (6 papers), AI in cancer detection (5 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Health Informatics (46 citations), Radiology, Nuclear Medicine and Imaging (710 citations), Pulmonary and Respiratory Medicine (382 citations), Computer Vision and Pattern Recognition (168 citations) and Neurology (57 citations). Albert Comelli has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Alessandro Stefano, G. Russo, Anthony Yezzi, Viviana Benfante, Giuseppe Salvaggio, Massimo Ippolito, M.G. Sabini, Federica Vernuccio, Navdeep Dahiya and Samuel Bignardi. Their work appears in journals such as Applied Sciences, Life, Cancers, Computers in Biology and Medicine and Neuroradiology.
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.