Mikhail Belyaev

1.2k total citations
18 papers, 360 citations indexed

About

Mikhail Belyaev is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Mikhail Belyaev has authored 18 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Cognitive Neuroscience and 4 papers in Biomedical Engineering. Recurrent topics in Mikhail Belyaev's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Neural dynamics and brain function (3 papers) and Brain Tumor Detection and Classification (2 papers). Mikhail Belyaev is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Neural dynamics and brain function (3 papers) and Brain Tumor Detection and Classification (2 papers). Mikhail Belyaev collaborates with scholars based in Russia, United States and Tajikistan. Mikhail Belyaev's co-authors include Yulia Dodonova, Sergey Korolev, Evgeny Burnaev, С. П. Морозов, Victor А. Gombolevskiy, Alexey Zakharov, Andrey Golanov, Pavel Prikhodko, Mikhail Galkin and С. Н. Иллариошкин and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Neurology Neurosurgery & Psychiatry and Medical Image Analysis.

In The Last Decade

Mikhail Belyaev

15 papers receiving 356 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mikhail Belyaev Russia 6 169 146 88 88 82 18 360
Yulia Dodonova Russia 3 167 1.0× 128 0.9× 78 0.9× 66 0.8× 82 1.0× 5 281
Sergey Korolev Russia 3 167 1.0× 127 0.9× 78 0.9× 66 0.8× 82 1.0× 4 278
Kanghan Oh South Korea 9 140 0.8× 157 1.1× 126 1.4× 94 1.1× 100 1.2× 19 461
L. Khedher Spain 7 123 0.7× 79 0.5× 90 1.0× 93 1.1× 79 1.0× 9 426
A. Brahim Spain 9 123 0.7× 91 0.6× 104 1.2× 105 1.2× 81 1.0× 16 498
Dan Pan China 8 186 1.1× 187 1.3× 70 0.8× 72 0.8× 130 1.6× 28 474
Wenyong Zhu China 4 163 1.0× 168 1.2× 84 1.0× 72 0.8× 74 0.9× 5 334
Farheen Ramzan Pakistan 5 180 1.1× 136 0.9× 96 1.1× 89 1.0× 69 0.8× 7 387
Ahmad Al Smadi China 9 145 0.9× 132 0.9× 74 0.8× 76 0.9× 61 0.7× 33 393
Akshay Pai Denmark 8 109 0.6× 95 0.7× 61 0.7× 89 1.0× 140 1.7× 28 356

Countries citing papers authored by Mikhail Belyaev

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mikhail Belyaev

This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Belyaev. A scholar is included among the top collaborators of Mikhail Belyaev based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mikhail Belyaev. Mikhail Belyaev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
2.
3.
Belyaev, Mikhail, et al.. (2023). Using an artificial intelligence algorithm to assess the bone mineral density of the vertebral bodies based on computed tomography data. Medical Visualization. 27(2). 125–137. 3 indexed citations
4.
Chernina, Valeria, Mikhail Belyaev, Ilya Pyatnitskiy, et al.. (2023). Analysis of the diagnostic and economic impact of the combined artificial intelligence algorithm for analysis of 10 pathological findings on chest computed tomography. SHILAP Revista de lepidopterología. 4(2). 105–132. 1 indexed citations
5.
Zakharov, Alexey, et al.. (2022). Interpretable vertebral fracture quantification via anchor-free landmarks localization. Medical Image Analysis. 83. 102646–102646. 18 indexed citations
6.
Galkin, Mikhail, et al.. (2022). Systematic Clinical Evaluation of a Deep Learning Method for Medical Image Segmentation: Radiosurgery Application. IEEE Journal of Biomedical and Health Informatics. 26(7). 3037–3046. 5 indexed citations
7.
Golanov, Andrey, et al.. (2021). Accelerating 3D Medical Image Segmentation by Adaptive Small-Scale Target Localization. Journal of Imaging. 7(2). 35–35. 11 indexed citations
8.
Chernina, Valeria, et al.. (2020). Epicardial fat Tissue Volumetry: Comparison of Semi-Automatic Measurement and the Machine Learning Algorithm. Kardiologiia. 60(9). 46–54. 1 indexed citations
9.
Belyaev, Mikhail, et al.. (2019). MACHINE LEARNING IN GLIOMA SEGMENTATION FOR STEREOTACTIC RADIATION THERAPY PLANNING. Diagnostic radiology and radiotherapy. 24–31.
10.
Korolev, Sergey, et al.. (2017). Residual and plain convolutional neural networks for 3D brain MRI classification. 835–838. 273 indexed citations
11.
Belyaev, Mikhail, et al.. (2016). Dimensionality reduction with isomap algorithm for EEG covariance matrices. 1–4. 11 indexed citations
12.
Dodonova, Yulia, et al.. (2016). Boosting connectome classification via combination of geometric and topological normalizations. 126. 1–4. 3 indexed citations
13.
Иллариошкин, С. Н., et al.. (2016). I9 The size of the CAG-expansion mutation can be predicted in hd based on phenotypic data using a machine learning approach. Journal of Neurology Neurosurgery & Psychiatry. 87(Suppl 1). A62.1–A62. 3 indexed citations
14.
Dodonova, Yulia, et al.. (2016). Classification of structural brain networks based on information divergence of graph spectra. 39. 1–6. 2 indexed citations
15.
Belyaev, Mikhail, et al.. (2016). Computationally efficient algorithm for Gaussian Process regression in case of structured samples. Computational Mathematics and Mathematical Physics. 56(4). 499–513. 11 indexed citations
16.
17.
Prikhodko, Pavel, et al.. (2014). On Approximation of Reserve Factors Dependency on Loads for Composite Stiffened Panels. Advanced materials research. 1016. 85–89. 3 indexed citations
18.
Belyaev, Mikhail, et al.. (2014). Building Data Fusion Surrogate Models for Spacecraft Aerodynamic Problems with Incomplete Factorial Design of Experiments. Advanced materials research. 1016. 405–412. 12 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yulia Dodonova Breakdown of academic impact, for papers by Sergey Korolev Breakdown of academic impact, for papers by Kanghan Oh Breakdown of academic impact, for papers by L. Khedher Breakdown of academic impact, for papers by A. Brahim Breakdown of academic impact, for papers by Dan Pan Breakdown of academic impact, for papers by Wenyong Zhu Breakdown of academic impact, for papers by Farheen Ramzan Breakdown of academic impact, for papers by Ahmad Al Smadi Breakdown of academic impact, for papers by Akshay Pai
Rankless by CCL
2026