Rita Vacondio
Impact in
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- Digital Radiography and Breast Imaging
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- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Digital Radiography and Breast Imaging 7
- Metastasis and carcinoma case studies 1
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- AI in cancer detection 4
- Co-authors
- Sara Ravaioli (5 shared papers)Pierpaolo Pattacini (7 shared papers)Andrea Nitrosi (7 shared papers)Valentina Iotti (7 shared papers)Vladimiro Ginocchi (2 shared papers)Luca Braglia (2 shared papers)Paolo Giorgi Rossi (6 shared papers)Cinzia Campari (4 shared papers)
- Journals
- La radiologia medica (4 papers)European Radiology (2 papers)Radiology (2 papers)Breastfeeding Medicine (1 paper)European Journal of Cancer (1 paper)
- Partner nations
- Italy
In The Last Decade
Rita Vacondio
15 papers receiving 348 citations
Peers
Comparison fields: 5 of 28
- Pulmonary and Respiratory Medicine 212
- Radiology, Nuclear Medicine and Imaging 103
- Cancer Research 60
- Health Informatics 5
- Artificial Intelligence 98
Countries citing papers authored by Rita Vacondio
This map shows the geographic impact of Rita Vacondio'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 Rita Vacondio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rita Vacondio more than expected).
Fields of papers citing papers by Rita Vacondio
This network shows the impact of papers produced by Rita Vacondio. 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 Rita Vacondio. The network helps show where Rita Vacondio may publish in the future.
Co-authors
The 25 scholars most cited alongside Rita Vacondio, 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 | 2017 | 117 | |
| 2 | 2018 | 105 | |
| 3 | 2022 | 43 | |
| 4 | 2019 | 15 | |
| 5 | 2015 | 13 | |
| 6 | 2008 | 12 | |
| 7 | 2018 | 12 | |
| 8 | 2021 | 12 | |
| 9 | 2011 | 10 | |
| 10 | 2016 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2022 | 3 | |
| 13 | 2006 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 |
About Rita Vacondio
Rita Vacondio is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence, Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 15 papers that have together received 358 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (7 papers), AI in cancer detection (4 papers), Global Cancer Incidence and Screening (2 papers), Breast Cancer Treatment Studies (2 papers), MRI in cancer diagnosis (1 paper), Metastasis and carcinoma case studies (1 paper), Total Knee Arthroplasty Outcomes (1 paper) and Knee injuries and reconstruction techniques (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (212 citations), Radiology, Nuclear Medicine and Imaging (103 citations), Cancer Research (60 citations), Health Informatics (5 citations) and Artificial Intelligence (98 citations). Rita Vacondio has collaborated with scholars based in Italy. Frequent co-authors include Sara Ravaioli, Pierpaolo Pattacini, Andrea Nitrosi, Valentina Iotti, Vladimiro Ginocchi, Luca Braglia, Paolo Giorgi Rossi, Cinzia Campari, Silvio Cavuto and Moira Ragazzi. Their work appears in journals such as La radiologia medica, European Radiology, Radiology, Breastfeeding Medicine and European Journal of Cancer.
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.