Sara Colantonio
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Co-authors
- Ovidio SalvettiMaria Antonietta PascaliMassimo MartinelliDaniela GiorgiDavide MoroniI. B. GurevichGiuseppe CoppiniBogdan J. Matuszewski
- Topics
- Radiomics and Machine Learning in Medical Imaging (15 papers)AI in cancer detection (9 papers)Context-Aware Activity Recognition Systems (7 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaScientific Reports
- Partner nations
- ItalyGreeceUnited Kingdom
In The Last Decade
Sara Colantonio
67 papers receiving 486 citations
Peers
Comparison fields: 5 of 116
- Computer Vision and Pattern Recognition 161
- Radiology, Nuclear Medicine and Imaging 121
- Artificial Intelligence 97
- Biomedical Engineering 64
- Electrical and Electronic Engineering 55
Countries citing papers authored by Sara Colantonio
This map shows the geographic impact of Sara Colantonio'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 Sara Colantonio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Colantonio more than expected).
Fields of papers citing papers by Sara Colantonio
This network shows the impact of papers produced by Sara Colantonio. 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 Sara Colantonio. The network helps show where Sara Colantonio may publish in the future.
Co-authorship network of co-authors of Sara Colantonio
This figure shows the co-authorship network connecting the top 25 collaborators of Sara Colantonio. A scholar is included among the top collaborators of Sara Colantonio based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sara Colantonio. Sara Colantonio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 30 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 13 | |
| 11 | 2 | |
| 12 | 7 | |
| 13 | 7 | |
| 14 | 32 | |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 18 | |
| 18 | 10 | |
| 19 | 8 | |
| 20 | A Decision Support Resource as a Kernel of a Semantic Web Based Platform Oriented to Heart Failure. | 3 |
About Sara Colantonio
Sara Colantonio is a scholar working on Health Informatics, Biophysics and Computer Vision and Pattern Recognition, having authored 75 papers that have together received 508 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (15 papers), AI in cancer detection (9 papers) and Context-Aware Activity Recognition Systems (7 papers). The work is most often cited by research in Health Informatics (17 citations), Computer Vision and Pattern Recognition (161 citations) and Health Information Management (33 citations). Sara Colantonio has collaborated with scholars based in Italy, Greece and United Kingdom. Frequent co-authors include Ovidio Salvetti, Maria Antonietta Pascali, Massimo Martinelli, Daniela Giorgi, Davide Moroni, I. B. Gurevich, Giuseppe Coppini, Bogdan J. Matuszewski, Franco Chiarugi and Mario D’Acunto. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.
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.