Mikhail Belyaev
Impact in
- Neurology top 5%
- Brain Tumor Detection and Classification
- Health Informatics top 10%
Papers in
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- Radiomics and Machine Learning in Medical Imaging 6
-
- Neural dynamics and brain function 3
- Co-authors
- Yulia Dodonova (3 shared papers)Sergey Korolev (2 shared papers)Evgeny Burnaev (3 shared papers)Victor А. Gombolevskiy (4 shared papers)С. П. Морозов (3 shared papers)Alexey Zakharov (1 shared paper)Andrey Golanov (3 shared papers)Pavel Prikhodko (1 shared paper)
- Journals
- Asian Spine Journal (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)Medical Image Analysis (1 paper)Journal of Neurology Neurosurgery & Psychiatry (1 paper)Advanced materials research (2 papers)
- Partner nations
- RussiaUnited StatesTajikistan
In The Last Decade
Mikhail Belyaev
15 papers receiving 356 citations
Peers
Comparison fields: 5 of 69
- Neurology 169
- Health Informatics 17
- Health Information Management 27
- Psychiatry and Mental health 82
- Artificial Intelligence 146
Countries citing papers authored by Mikhail Belyaev
This map shows the geographic impact of Mikhail Belyaev'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 Mikhail Belyaev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Belyaev more than expected).
Fields of papers citing papers by Mikhail Belyaev
This network shows the impact of papers produced by Mikhail Belyaev. 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 Mikhail Belyaev. The network helps show where Mikhail Belyaev may publish in the future.
Co-authors
The 24 scholars most cited alongside Mikhail Belyaev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 273 | |
| 2 | 2022 | 18 | |
| 3 | 2014 | 12 | |
| 4 | 2016 | 11 | |
| 5 | 2016 | 11 | |
| 6 | 2021 | 11 | |
| 7 | 2022 | 5 | |
| 8 | 2023 | 3 | |
| 9 | 2016 | 3 | |
| 10 | 2014 | 3 | |
| 11 | 2016 | 3 | |
| 12 | 2015 | 3 | |
| 13 | 2016 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2019 | 0 |
About Mikhail Belyaev
Mikhail Belyaev is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Biomedical Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 18 papers that have together received 360 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Neural dynamics and brain function (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Brain Tumor Detection and Classification (2 papers), Advanced X-ray and CT Imaging (2 papers), Medical Image Segmentation Techniques (2 papers), Advanced Neural Network Applications (2 papers) and Medical Imaging and Analysis (2 papers). The work is most often cited by research in Neurology (169 citations), Health Informatics (17 citations), Health Information Management (27 citations), Psychiatry and Mental health (82 citations) and Artificial Intelligence (146 citations). Mikhail Belyaev has collaborated with scholars based in Russia, United States and Tajikistan. Frequent co-authors include Yulia Dodonova, Sergey Korolev, Evgeny Burnaev, Victor А. Gombolevskiy, С. П. Морозов, Alexey Zakharov, Andrey Golanov, Pavel Prikhodko, Mikhail Galkin and Leonid Zhukov. Their work appears in journals such as Asian Spine Journal, IEEE Journal of Biomedical and Health Informatics, Medical Image Analysis, Journal of Neurology Neurosurgery & Psychiatry and Advanced materials research.
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.