M. Saletta
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Medical Imaging Techniques and Applications
- Radiology practices and education
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- Artificial Intelligence in Healthcare and Education
Papers in
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- Lung Cancer Diagnosis and Treatment 3
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- Radiomics and Machine Learning in Medical Imaging 2
- Medical Imaging Techniques and Applications 1
- Co-authors
- P. Cerello (4 shared papers)Maria Evelina Fantacci (4 shared papers)C. Peroni (1 shared paper)N. Camarlinghi (1 shared paper)F. Pennazio (1 shared paper)E. Fiorina (1 shared paper)E. López Torres (3 shared papers)Alberto Traverso (3 shared papers)
- Journals
- Medical Physics (1 paper)Physica Medica (1 paper)Radiotherapy and Oncology (1 paper)European Radiology (1 paper)Journal of Physics Conference Series (1 paper)
- Partner nations
- ItalyCubaNetherlands
In The Last Decade
M. Saletta
5 papers receiving 110 citations
Peers
Comparison fields: 5 of 28
- Radiology, Nuclear Medicine and Imaging 104
- Health Informatics 6
- Pulmonary and Respiratory Medicine 97
- Health Information Management 3
- Artificial Intelligence 15
Countries citing papers authored by M. Saletta
This map shows the geographic impact of M. Saletta'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 M. Saletta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Saletta more than expected).
Fields of papers citing papers by M. Saletta
This network shows the impact of papers produced by M. Saletta. 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 M. Saletta. The network helps show where M. Saletta may publish in the future.
Co-authors
The 24 scholars most cited alongside M. Saletta, 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 | 2015 | 86 | |
| 2 | 2018 | 26 | |
| 3 | 2016 | 1 | |
| 4 | 2017 | 1 | |
| 5 | 2016 | 1 |
About M. Saletta
M. Saletta is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Computer Networks and Communications, Otorhinolaryngology and Information Systems, having authored 5 papers that have together received 115 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Smart Cities and Technologies (1 paper), Cloud Computing and Resource Management (1 paper), Medical Imaging Techniques and Applications (1 paper), Head and Neck Cancer Studies (1 paper) and IoT and Edge/Fog Computing (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (104 citations), Health Informatics (6 citations), Pulmonary and Respiratory Medicine (97 citations), Health Information Management (3 citations) and Artificial Intelligence (15 citations). M. Saletta has collaborated with scholars based in Italy, Cuba and Netherlands. Frequent co-authors include P. Cerello, Maria Evelina Fantacci, C. Peroni, N. Camarlinghi, F. Pennazio, E. Fiorina, E. López Torres, Alberto Traverso, Valentina Giannini and Simone Mazzetti. Their work appears in journals such as Medical Physics, Physica Medica, Radiotherapy and Oncology, European Radiology and Journal of Physics Conference Series.
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.