Sergey Primakov
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 20
- Medical Imaging Techniques and Applications 6
- MRI in cancer diagnosis 3
-
- AI in cancer detection 9
- Co-authors
- Philippe Lambin (23 shared papers)Abdalla Ibrahim (16 shared papers)Henry C. Woodruff (18 shared papers)Turkey Refaee (11 shared papers)Renée W. Y. Granzier (8 shared papers)Manon Beuque (6 shared papers)Sebastian Sanduleanu (6 shared papers)Guangyao Wu (4 shared papers)
- Journals
- Cancers (8 papers)Journal of Personalized Medicine (2 papers)Acta Orthopaedica (2 papers)Cancer Imaging (1 paper)PLoS ONE (1 paper)
- Partner nations
- NetherlandsGermanyBelgium
In The Last Decade
Sergey Primakov
25 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 68
- Health Informatics 104
- Radiology, Nuclear Medicine and Imaging 677
- Pulmonary and Respiratory Medicine 167
- Otorhinolaryngology 21
- Biomedical Engineering 232
Countries citing papers authored by Sergey Primakov
This map shows the geographic impact of Sergey Primakov'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 Sergey Primakov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergey Primakov more than expected).
Fields of papers citing papers by Sergey Primakov
This network shows the impact of papers produced by Sergey Primakov. 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 Sergey Primakov. The network helps show where Sergey Primakov may publish in the future.
Co-authors
The 25 scholars most cited alongside Sergey Primakov, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 237 | |
| 2 | 2020 | 177 | |
| 3 | 2021 | 122 | |
| 4 | 2020 | 115 | |
| 5 | 2021 | 44 | |
| 6 | 2023 | 44 | |
| 7 | 2021 | 41 | |
| 8 | 2019 | 39 | |
| 9 | 2020 | 38 | |
| 10 | 2021 | 31 | |
| 11 | 2021 | 27 | |
| 12 | 2021 | 27 | |
| 13 | 2021 | 22 | |
| 14 | 2021 | 20 | |
| 15 | 2022 | 19 | |
| 16 | 2021 | 15 | |
| 17 | 2023 | 12 | |
| 18 | 2020 | 12 | |
| 19 | 2021 | 10 | |
| 20 | 2022 | 8 |
About Sergey Primakov
Sergey Primakov is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Biomedical Engineering, Pulmonary and Respiratory Medicine and Health Informatics, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (20 papers), AI in cancer detection (9 papers), Medical Imaging Techniques and Applications (6 papers), Advanced X-ray and CT Imaging (5 papers), Artificial Intelligence in Healthcare and Education (4 papers), MRI in cancer diagnosis (3 papers), Medical Imaging and Analysis (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Health Informatics (104 citations), Radiology, Nuclear Medicine and Imaging (677 citations), Pulmonary and Respiratory Medicine (167 citations), Otorhinolaryngology (21 citations) and Biomedical Engineering (232 citations). Sergey Primakov has collaborated with scholars based in Netherlands, Germany and Belgium. Frequent co-authors include Philippe Lambin, Abdalla Ibrahim, Henry C. Woodruff, Turkey Refaee, Renée W. Y. Granzier, Manon Beuque, Sebastian Sanduleanu, Guangyao Wu, Felix M. Mottaghy and Simon Keek. Their work appears in journals such as Cancers, Journal of Personalized Medicine, Acta Orthopaedica, Cancer Imaging and PLoS ONE.
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.