Refael Vivanti
- Radiology, Nuclear Medicine and Imaging
- Artificial Intelligence
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Hepatology
- Co-authors
- Leo JoskowiczJacob SosnaNaama Lev‐CohainAdi SzeskinAriel EphratMoshe ShohamElena De MomiCarlos Faria
- Topics
- Radiomics and Machine Learning in Medical Imaging (3 papers)Medical Image Segmentation Techniques (2 papers)AI in cancer detection (2 papers)
In The Last Decade
Refael Vivanti
4 papers receiving 126 citations
Peers
Comparison fields: 5 of 40
- Radiology, Nuclear Medicine and Imaging 86
- Artificial Intelligence 47
- Biomedical Engineering 32
- Computer Vision and Pattern Recognition 27
- Hepatology 19
Countries citing papers authored by Refael Vivanti
This map shows the geographic impact of Refael Vivanti'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 Refael Vivanti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Refael Vivanti more than expected).
Fields of papers citing papers by Refael Vivanti
This network shows the impact of papers produced by Refael Vivanti. 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 Refael Vivanti. The network helps show where Refael Vivanti may publish in the future.
Co-authorship network of co-authors of Refael Vivanti
This figure shows the co-authorship network connecting the top 25 collaborators of Refael Vivanti. A scholar is included among the top collaborators of Refael Vivanti 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 Refael Vivanti. Refael Vivanti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 37 | |
| 3 | 55 | |
| 4 | 16 | |
| 5 | 22 |
About Refael Vivanti
Refael Vivanti is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 5 papers that have together received 130 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Image Segmentation Techniques (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Health Informatics (6 citations), Radiology, Nuclear Medicine and Imaging (86 citations) and Health Information Management (12 citations). Refael Vivanti has collaborated with scholars based in Israel, Italy and Portugal. Frequent co-authors include Leo Joskowicz, Jacob Sosna, Naama Lev‐Cohain, Adi Szeskin, Ariel Ephrat, Moshe Shoham, Elena De Momi, Carlos Faria, Estela Bicho and Giancarlo Ferrigno. Their work appears in journals such as Medical Physics, Medical & Biological Engineering & Computing and International Journal of Computer Assisted Radiology and Surgery.
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.