Mario Tortora
Impact in
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- Artificial Intelligence in Healthcare and Education
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- Radiation Dose and Imaging
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Radiomics and Machine Learning in Medical Imaging 3
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- Cerebrovascular and Carotid Artery Diseases 4
- Co-authors
- Lorenzo Ugga (3 shared papers)Renato Cuocolo (3 shared papers)Gaia Spadarella (1 shared paper)Fabio Tortora (10 shared papers)Ferdinando Caranci (7 shared papers)Francesco Briganti (7 shared papers)A. Dal Negro (7 shared papers)Felice D’Arco (1 shared paper)
- Journals
- La radiologia medica (5 papers)Neuroradiology (2 papers)Journal of Clinical Medicine (2 papers)Neurology Genetics (1 paper)IEEE Transactions on Nuclear Science (1 paper)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Mario Tortora
26 papers receiving 226 citations
Peers
Comparison fields: 5 of 63
- Health Informatics 10
- Radiology, Nuclear Medicine and Imaging 87
- Genetics 21
- Biomedical Engineering 71
- Otorhinolaryngology 5
Countries citing papers authored by Mario Tortora
This map shows the geographic impact of Mario Tortora'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 Mario Tortora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Tortora more than expected).
Fields of papers citing papers by Mario Tortora
This network shows the impact of papers produced by Mario Tortora. 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 Mario Tortora. The network helps show where Mario Tortora may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Tortora, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 63 | |
| 2 | 2023 | 32 | |
| 3 | 2025 | 18 | |
| 4 | 2000 | 18 | |
| 5 | 2023 | 17 | |
| 6 | 2024 | 15 | |
| 7 | 2023 | 11 | |
| 8 | 2022 | 10 | |
| 9 | 2023 | 7 | |
| 10 | 2022 | 6 | |
| 11 | 2025 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2022 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 1 |
About Mario Tortora
Mario Tortora is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Genetics, Epidemiology and Biomedical Engineering, having authored 27 papers that have together received 230 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (4 papers), Glioma Diagnosis and Treatment (4 papers), Medical and Biological Ozone Research (3 papers), Acute Ischemic Stroke Management (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced X-ray and CT Imaging (2 papers), Intracranial Aneurysms: Treatment and Complications (2 papers) and Radiation Effects in Electronics (2 papers). The work is most often cited by research in Health Informatics (10 citations), Radiology, Nuclear Medicine and Imaging (87 citations), Genetics (21 citations), Biomedical Engineering (71 citations) and Otorhinolaryngology (5 citations). Mario Tortora has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Lorenzo Ugga, Renato Cuocolo, Gaia Spadarella, Fabio Tortora, Ferdinando Caranci, Francesco Briganti, A. Dal Negro, Felice D’Arco, P.J. McNulty and Leif Scheick. Their work appears in journals such as La radiologia medica, Neuroradiology, Journal of Clinical Medicine, Neurology Genetics and IEEE Transactions on Nuclear Science.
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.