Victor Savevski
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 8
- COVID-19 diagnosis using AI 5
- Oncology 8
- Colorectal Cancer Screening and Detection 2
- Co-authors
- Maria Elena Laino (11 shared papers)Letterio S. Politi (4 shared papers)Giovanni Angelotti (7 shared papers)Luca Balzarini (3 shared papers)Pierandrea Morandini (8 shared papers)Ezio Lanza (1 shared paper)Riccardo Muglia (1 shared paper)Luca Di Tommaso (2 shared papers)
- Journals
- Clinical and Translational Allergy (2 papers)Journal of Clinical Medicine (2 papers)Therapeutic Advances in Musculoskeletal Disease (1 paper)JCO Clinical Cancer Informatics (1 paper)Applied Sciences (1 paper)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Victor Savevski
30 papers receiving 406 citations
Peers
Comparison fields: 5 of 74
- Health Informatics 49
- Radiology, Nuclear Medicine and Imaging 149
- Infectious Diseases 72
- Oncology 70
- Critical Care and Intensive Care Medicine 10
Countries citing papers authored by Victor Savevski
This map shows the geographic impact of Victor Savevski'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 Victor Savevski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victor Savevski more than expected).
Fields of papers citing papers by Victor Savevski
This network shows the impact of papers produced by Victor Savevski. 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 Victor Savevski. The network helps show where Victor Savevski may publish in the future.
Co-authors
The 25 scholars most cited alongside Victor Savevski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 89 | |
| 2 | 2021 | 43 | |
| 3 | 2022 | 23 | |
| 4 | 2023 | 22 | |
| 5 | 2022 | 22 | |
| 6 | 2021 | 20 | |
| 7 | 2021 | 17 | |
| 8 | 2020 | 17 | |
| 9 | 2022 | 16 | |
| 10 | 2022 | 15 | |
| 11 | 2023 | 14 | |
| 12 | 2023 | 14 | |
| 13 | 2022 | 13 | |
| 14 | 2020 | 12 | |
| 15 | 2022 | 12 | |
| 16 | 2021 | 10 | |
| 17 | 2021 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2022 | 7 |
About Victor Savevski
Victor Savevski is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Artificial Intelligence, Infectious Diseases and Surgery, having authored 34 papers that have together received 413 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), COVID-19 Clinical Research Studies (6 papers), COVID-19 diagnosis using AI (5 papers), AI in cancer detection (5 papers), Artificial Intelligence in Healthcare and Education (3 papers), Machine Learning in Healthcare (2 papers), Total Knee Arthroplasty Outcomes (2 papers) and Colorectal Cancer Screening and Detection (2 papers). The work is most often cited by research in Health Informatics (49 citations), Radiology, Nuclear Medicine and Imaging (149 citations), Infectious Diseases (72 citations), Oncology (70 citations) and Critical Care and Intensive Care Medicine (10 citations). Victor Savevski has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Maria Elena Laino, Letterio S. Politi, Giovanni Angelotti, Luca Balzarini, Pierandrea Morandini, Ezio Lanza, Riccardo Muglia, Luca Di Tommaso, Luca Saba and Filippo Fraggetta. Their work appears in journals such as Clinical and Translational Allergy, Journal of Clinical Medicine, Therapeutic Advances in Musculoskeletal Disease, JCO Clinical Cancer Informatics and Applied Sciences.
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.