Viktor S. Ryaben’kii
- Computational Mechanics top 5%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Mechanics of Materials
- Atomic and Molecular Physics, and Optics
- Co-authors
- Semyon TsynkovJosip LončarićС. К. ГодуновV. TurchaninovSergey UtyuzhnikovHyun Soo LimY. W. LamAli Turan
- Topics
- Differential Equations and Numerical Methods (8 papers)Differential Equations and Boundary Problems (7 papers)Advanced Adaptive Filtering Techniques (4 papers)
- Journals
- Computer Methods in Applied Mechanics and EngineeringAIAA JournalSIAM Journal on Numerical Analysis
- Partner nations
- RussiaUnited KingdomUnited States
In The Last Decade
Viktor S. Ryaben’kii
19 papers receiving 319 citations
Peers
Comparison fields: 5 of 45
- Computational Mechanics 190
- Electrical and Electronic Engineering 135
- Biomedical Engineering 97
- Mechanics of Materials 83
- Atomic and Molecular Physics, and Optics 71
Countries citing papers authored by Viktor S. Ryaben’kii
This map shows the geographic impact of Viktor S. Ryaben’kii'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 Viktor S. Ryaben’kii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viktor S. Ryaben’kii more than expected).
Fields of papers citing papers by Viktor S. Ryaben’kii
This network shows the impact of papers produced by Viktor S. Ryaben’kii. 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 Viktor S. Ryaben’kii. The network helps show where Viktor S. Ryaben’kii may publish in the future.
Co-authorship network of co-authors of Viktor S. Ryaben’kii
This figure shows the co-authorship network connecting the top 25 collaborators of Viktor S. Ryaben’kii. A scholar is included among the top collaborators of Viktor S. Ryaben’kii 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 Viktor S. Ryaben’kii. Viktor S. Ryaben’kii is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 34 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 11 | |
| 8 | 87 | |
| 9 | 45 | |
| 10 | Potentials for general linear systems of difference equations on abstract grids | 2 |
| 11 | 19 | |
| 12 | The transfer of boundary conditions across a vacuum in axisymmetric problems | 3 |
| 13 | 36 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 6 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 20 | |
| 20 | 4 |
About Viktor S. Ryaben’kii
Viktor S. Ryaben’kii is a scholar working on Numerical Analysis, Applied Mathematics and Mathematical Physics, having authored 24 papers that have together received 381 indexed citations. Recurring topics across this work include Differential Equations and Numerical Methods (8 papers), Differential Equations and Boundary Problems (7 papers) and Advanced Adaptive Filtering Techniques (4 papers). The work is most often cited by research in Numerical Analysis (69 citations), Computational Mechanics (190 citations) and Mathematical Physics (66 citations). Viktor S. Ryaben’kii has collaborated with scholars based in Russia, United Kingdom and United States. Frequent co-authors include Semyon Tsynkov, Josip Lončarić, С. К. Годунов, V. Turchaninov, Sergey Utyuzhnikov, Hyun Soo Lim, Y. W. Lam, Ali Turan and Ivan Sofronov. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, AIAA Journal and SIAM Journal on Numerical Analysis.
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.