Mikhail A. Belkin
About
In The Last Decade
Mikhail A. Belkin
199 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Atomic and Molecular Physics, and Optics 3.1k
- Electrical and Electronic Engineering 3.0k
- Spectroscopy 2.4k
- Electronic, Optical and Magnetic Materials 2.3k
- Biomedical Engineering 2.1k
Countries citing papers authored by Mikhail A. Belkin
This map shows the geographic impact of Mikhail A. Belkin'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 A. Belkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail A. Belkin more than expected).
Fields of papers citing papers by Mikhail A. Belkin
This network shows the impact of papers produced by Mikhail A. Belkin. 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 A. Belkin. The network helps show where Mikhail A. Belkin may publish in the future.
Co-authorship network of co-authors of Mikhail A. Belkin
This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail A. Belkin. A scholar is included among the top collaborators of Mikhail A. Belkin 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 A. Belkin. Mikhail A. Belkin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 13 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 26 | |
| 8 | 40 | |
| 9 | Kernel Machines That Adapt To Gpus For Effective Large Batch Training. | 1 |
| 10 | Unperturbed: spectral analysis beyond Davis-Kahan | 10 |
| 11 | 30 | |
| 12 | 36 | |
| 13 | Blind Signal Separation in the Presence of Gaussian Noise | 4 |
| 14 | Inverse Density as an Inverse Problem: the Fredholm Equation Approach | 2 |
| 15 | Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis | 4 |
| 16 | Semi-supervised Learning by Higher Order Regularization | 34 |
| 17 | 83 | |
| 18 | Semi-Supervised Learning Using Sparse Eigenfunction Bases. | 25 |
| 19 | 1 | |
| 20 | Limits of Spectral Clustering | 64 |
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.