Mikhail Belyaev
Impact in
- Neurology top 5%
- Brain Tumor Detection and Classification
- Health Informatics top 10%
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 6
- Co-authors
- Yulia Dodonova (3 shared papers)Sergey Korolev (2 shared papers)Evgeny Burnaev (5 shared papers)Pavel Prikhodko (2 shared papers)Stéphane Grihon (2 shared papers)Victor А. Gombolevskiy (5 shared papers)С. П. Морозов (4 shared papers)Alexey Zakharov (1 shared paper)
- Journals
- Medical Image Analysis (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)Journal of Neurology Neurosurgery & Psychiatry (1 paper)Asian Spine Journal (1 paper)Lecture notes in computer science (5 papers)
- Partner nations
- RussiaUnited StatesTajikistan
In The Last Decade
Mikhail Belyaev
24 papers receiving 506 citations
Peers
Comparison fields: 5 of 79
- Neurology 202
- Health Informatics 15
- Psychiatry and Mental health 97
- Health Information Management 32
- Artificial Intelligence 206
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
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 313 | |
| 2 | 2018 | 24 | |
| 3 | 2022 | 23 | |
| 4 | 2018 | 22 | |
| 5 | 2015 | 20 | |
| 6 | 2013 | 17 | |
| 7 | 2016 | 15 | |
| 8 | 2021 | 12 | |
| 9 | 2014 | 12 | |
| 10 | 2016 | 12 | |
| 11 | 2018 | 10 | |
| 12 | 2022 | 7 | |
| 13 | 2015 | 4 | |
| 14 | 2016 | 4 | |
| 15 | 2014 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2016 | 3 | |
| 18 | 2016 | 3 | |
| 19 | 2018 | 2 | |
| 20 | 2023 | 1 |
About Mikhail Belyaev
Mikhail Belyaev is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Neurology, having authored 26 papers that have together received 514 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Brain Tumor Detection and Classification (5 papers), Advanced Neural Network Applications (4 papers), Medical Image Segmentation Techniques (3 papers), Blind Source Separation Techniques (3 papers), Neural dynamics and brain function (3 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Neurology (202 citations), Health Informatics (15 citations), Psychiatry and Mental health (97 citations), Health Information Management (32 citations) and Artificial Intelligence (206 citations). Mikhail Belyaev has collaborated with scholars based in Russia, United States and Tajikistan. Frequent co-authors include Yulia Dodonova, Sergey Korolev, Evgeny Burnaev, Pavel Prikhodko, Stéphane Grihon, Victor А. Gombolevskiy, С. П. Морозов, Alexey Zakharov, Leonid Zhukov and Andrey Golanov. Their work appears in journals such as Medical Image Analysis, IEEE Journal of Biomedical and Health Informatics, Journal of Neurology Neurosurgery & Psychiatry, Asian Spine Journal and Lecture notes in computer science.
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.