Ivan Oseledets
About
In The Last Decade
Ivan Oseledets
171 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Computational Mathematics 3.1k
- Computational Mechanics 1.3k
- Computational Theory and Mathematics 1.2k
- Statistical and Nonlinear Physics 1.2k
- Atomic and Molecular Physics, and Optics 1.1k
Countries citing papers authored by Ivan Oseledets
This map shows the geographic impact of Ivan Oseledets'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 Ivan Oseledets with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Oseledets more than expected).
Fields of papers citing papers by Ivan Oseledets
This network shows the impact of papers produced by Ivan Oseledets. 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 Ivan Oseledets. The network helps show where Ivan Oseledets may publish in the future.
Co-authorship network of co-authors of Ivan Oseledets
This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Oseledets. A scholar is included among the top collaborators of Ivan Oseledets 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 Ivan Oseledets. Ivan Oseledets 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 | 1 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 13 | |
| 9 | 19 | |
| 10 | Functional Space Analysis of Local GAN Convergence | 1 |
| 11 | 17 | |
| 12 | 28 | |
| 13 | 13 | |
| 14 | PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach | 12 |
| 15 | Quadrature-based features for kernel approximation | 5 |
| 16 | 1 | |
| 17 | Numerical solution of diffraction problems using large matrix compression | 1 |
| 18 | Fast solution of multi-dimensional parabolic problems in the tensor train/quantized tensor train–format with initial application to the Fokker-Planck equation | 12 |
| 19 | Compact matrix form of the d-dimensional tensor decomposition | 34 |
| 20 | Approximate inversion of matrices in the process of solving a hypersingular integral equation | 24 |
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.