Antonio Vento
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
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- Thyroid Cancer Diagnosis and Treatment
Papers in
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- Radiomics and Machine Learning in Medical Imaging 4
- Medical Imaging Techniques and Applications 3
- Radiopharmaceutical Chemistry and Applications 2
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- Prostate Cancer Treatment and Research 3
- Co-authors
- Riccardo Laudicella (11 shared papers)Sergio Baldari (8 shared papers)Pierpaolo Alongi (6 shared papers)Salvatore Ventre (4 shared papers)Antonio Maffucci (4 shared papers)Antonello Tamburrino (4 shared papers)Alfredo Campennì (2 shared papers)Luca Giovanella (2 shared papers)
- Journals
- Cancers (2 papers)Life (2 papers)IEEE Transactions on Magnetics (1 paper)Oncotarget (1 paper)European Radiology (1 paper)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Antonio Vento
20 papers receiving 290 citations
Peers
Comparison fields: 5 of 48
- Radiology, Nuclear Medicine and Imaging 95
- Endocrinology, Diabetes and Metabolism 61
- Genetics 29
- Neurology 36
- Oncology 61
Countries citing papers authored by Antonio Vento
This map shows the geographic impact of Antonio Vento'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 Antonio Vento with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Vento more than expected).
Fields of papers citing papers by Antonio Vento
This network shows the impact of papers produced by Antonio Vento. 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 Antonio Vento. The network helps show where Antonio Vento may publish in the future.
Co-authors
The 25 scholars most cited alongside Antonio Vento, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 36 | |
| 2 | 2020 | 35 | |
| 3 | 2022 | 35 | |
| 4 | 2020 | 27 | |
| 5 | 2023 | 24 | |
| 6 | 2021 | 21 | |
| 7 | 2019 | 19 | |
| 8 | 2016 | 17 | |
| 9 | 2022 | 16 | |
| 10 | 2020 | 14 | |
| 11 | 2016 | 14 | |
| 12 | 2023 | 9 | |
| 13 | 2024 | 7 | |
| 14 | 2019 | 7 | |
| 15 | 2022 | 3 | |
| 16 | 2025 | 3 | |
| 17 | 2021 | 2 | |
| 18 | 2015 | 1 | |
| 19 | 2014 | 1 | |
| 20 | 2026 | 1 |
About Antonio Vento
Antonio Vento is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology, Neurology and Endocrinology, Diabetes and Metabolism, having authored 20 papers that have together received 292 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Medical Imaging Techniques and Applications (3 papers), Microwave and Dielectric Measurement Techniques (3 papers), Electromagnetic Scattering and Analysis (3 papers), Prostate Cancer Treatment and Research (3 papers), Neuroendocrine Tumor Research Advances (2 papers), Lung Cancer Research Studies (2 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (95 citations), Endocrinology, Diabetes and Metabolism (61 citations), Genetics (29 citations), Neurology (36 citations) and Oncology (61 citations). Antonio Vento has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Riccardo Laudicella, Sergio Baldari, Pierpaolo Alongi, Salvatore Ventre, Antonio Maffucci, Antonello Tamburrino, Alfredo Campennì, Luca Giovanella, Rosaria Maddalena Ruggeri and Matteo Bauckneht. Their work appears in journals such as Cancers, Life, IEEE Transactions on Magnetics, Oncotarget and European Radiology.
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.