Victor Savevski
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Hematology top 5%
- Acute Myeloid Leukemia Research
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 10
- COVID-19 diagnosis using AI 6
- Oncology 12
- Colorectal Cancer Screening and Detection 6
- Co-authors
- Maria Elena Laino (12 shared papers)Letterio Salvatore Politi (4 shared papers)Luca Balzarini (3 shared papers)Giovanni Angelotti (7 shared papers)Pierandrea Morandini (8 shared papers)Riccardo Muglia (1 shared paper)Ezio Lanza (1 shared paper)Luca Di Tommaso (2 shared papers)
- Journals
- Blood (3 papers)JCO Clinical Cancer Informatics (3 papers)Journal of Clinical Oncology (3 papers)Clinical and Translational Allergy (2 papers)EBioMedicine (2 papers)
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Victor Savevski
50 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 101
- Health Informatics 95
- Hematology 285
- Oncology 339
- Radiology, Nuclear Medicine and Imaging 259
- Genetics 121
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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 181 | |
| 2 | 2021 | 167 | |
| 3 | 2020 | 102 | |
| 4 | 2021 | 97 | |
| 5 | 2023 | 78 | |
| 6 | 2023 | 64 | |
| 7 | 2021 | 48 | |
| 8 | 2022 | 35 | |
| 9 | 2022 | 29 | |
| 10 | 2024 | 28 | |
| 11 | 2022 | 28 | |
| 12 | 2021 | 24 | |
| 13 | 2022 | 23 | |
| 14 | 2023 | 22 | |
| 15 | 2020 | 21 | |
| 16 | 2022 | 21 | |
| 17 | 2021 | 20 | |
| 18 | 2022 | 18 | |
| 19 | 2023 | 16 | |
| 20 | 2024 | 15 |
About Victor Savevski
Victor Savevski is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Health Informatics, Hematology and Infectious Diseases, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), COVID-19 Clinical Research Studies (6 papers), COVID-19 diagnosis using AI (6 papers), Colorectal Cancer Screening and Detection (6 papers), Acute Myeloid Leukemia Research (5 papers), AI in cancer detection (5 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Lung Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Health Informatics (95 citations), Hematology (285 citations), Oncology (339 citations), Radiology, Nuclear Medicine and Imaging (259 citations) and Genetics (121 citations). Victor Savevski has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Maria Elena Laino, Letterio Salvatore Politi, Luca Balzarini, Giovanni Angelotti, Pierandrea Morandini, Riccardo Muglia, Ezio Lanza, Luca Di Tommaso, Paolo Graziano and Filippo Fraggetta. Their work appears in journals such as Blood, JCO Clinical Cancer Informatics, Journal of Clinical Oncology, Clinical and Translational Allergy and EBioMedicine.
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.