Viktor S. Ryaben’kii

519 total citations
24 papers, 381 citations indexed

About

Viktor S. Ryaben’kii is a scholar working on Numerical Analysis, Applied Mathematics and Computational Mechanics. According to data from OpenAlex, Viktor S. Ryaben’kii has authored 24 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Numerical Analysis, 8 papers in Applied Mathematics and 6 papers in Computational Mechanics. Recurrent topics in Viktor S. Ryaben’kii's work include Differential Equations and Numerical Methods (8 papers), Differential Equations and Boundary Problems (7 papers) and Advanced Adaptive Filtering Techniques (4 papers). Viktor S. Ryaben’kii is often cited by papers focused on Differential Equations and Numerical Methods (8 papers), Differential Equations and Boundary Problems (7 papers) and Advanced Adaptive Filtering Techniques (4 papers). Viktor S. Ryaben’kii collaborates with scholars based in Russia, United Kingdom and United States. Viktor S. Ryaben’kii's co-authors include Semyon Tsynkov, Josip Lončarić, С. К. Годунов, Sergey Utyuzhnikov, V. Turchaninov, Ali Turan, Y. W. Lam, Hyun Soo Lim and Ivan Sofronov and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, AIAA Journal and SIAM Journal on Numerical Analysis.

In The Last Decade

Viktor S. Ryaben’kii

19 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Viktor S. Ryaben’kii Russia 10 190 135 97 83 71 24 381
Victor S. Ryaben’kii Russia 12 176 0.9× 119 0.9× 140 1.4× 45 0.5× 69 1.0× 29 404
Wagner Muniz Germany 5 143 0.8× 107 0.8× 59 0.6× 130 1.6× 40 0.6× 6 326
H.A. Erbay Türkiye 15 75 0.4× 76 0.6× 90 0.9× 188 2.3× 80 1.1× 55 675
M. Lenoir France 10 221 1.2× 202 1.5× 38 0.4× 173 2.1× 128 1.8× 13 434
Marc Duruflé France 12 142 0.7× 133 1.0× 56 0.6× 102 1.2× 113 1.6× 27 367
E. Martensen Germany 10 110 0.6× 55 0.4× 34 0.4× 61 0.7× 65 0.9× 28 332
Daniel Bouché France 12 81 0.4× 191 1.4× 41 0.4× 50 0.6× 244 3.4× 47 442
Yassine Boubendir United States 13 216 1.1× 228 1.7× 60 0.6× 140 1.7× 215 3.0× 25 412
Anne-Sophie Bonnet-Ben Dhia France 12 154 0.8× 207 1.5× 111 1.1× 160 1.9× 206 2.9× 34 537
Wilhelm Heinrichs Germany 15 369 1.9× 77 0.6× 21 0.2× 120 1.4× 56 0.8× 50 560

Countries citing papers authored by Viktor S. Ryaben’kii

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Ryaben’kii, Viktor S. & Sergey Utyuzhnikov. (2014). An algorithm of the method of difference potentials for domains with cuts. Applied Numerical Mathematics. 93. 254–261. 3 indexed citations
2.
Ryaben’kii, Viktor S.. (2012). Difference potentials analogous to Cauchy integrals. Russian Mathematical Surveys. 67(3). 541–567. 34 indexed citations
3.
Ryaben’kii, Viktor S.. (2012). Key information to control solutions of linear difference schemes in composite domains. Doklady Mathematics. 85(3). 441–442. 3 indexed citations
4.
Ryaben’kii, Viktor S., et al.. (2012). Разностные потенциалы, аналогичные интегралам Коши. Успехи математических наук. 67(3). 147–172. 3 indexed citations
5.
Ryaben’kii, Viktor S.. (2011). Model of real-time active noise shielding of a given subdomain subject to external noise sources. Computational Mathematics and Mathematical Physics. 51(3). 444–454. 9 indexed citations
6.
Ryaben’kii, Viktor S.. (2011). Real-time noise suppression in a three-dimensional protected subdomain as based on information from synchronous noise exploration. Doklady Mathematics. 84(1). 562–564. 4 indexed citations
7.
Ryaben’kii, Viktor S., et al.. (2006). Algorithm composition scheme for problems in composite domains based on the difference potential method. Computational Mathematics and Mathematical Physics. 46(10). 1768–1784. 11 indexed citations
8.
Ryaben’kii, Viktor S.. (2002). Method of Difference Potentials and Its Applications. CERN Document Server (European Organization for Nuclear Research). 87 indexed citations
9.
Lončarić, Josip, Viktor S. Ryaben’kii, & Semyon Tsynkov. (2001). Active Shielding and Control of Noise. SIAM Journal on Applied Mathematics. 62(2). 563–596. 45 indexed citations
10.
Ryaben’kii, Viktor S.. (1996). Potentials for general linear systems of difference equations on abstract grids. Computational Mathematics and Mathematical Physics. 36(4). 451–456. 2 indexed citations
11.
Ryaben’kii, Viktor S.. (1996). Difference Potentials Method and its Applications. Mathematische Nachrichten. 177(1). 251–264. 19 indexed citations
12.
Ryaben’kii, Viktor S. & Semyon Tsynkov. (1995). Artificial Boundary Conditions for the Numerical Solution of External Viscous Flow Problems. SIAM Journal on Numerical Analysis. 32(5). 1355–1389. 41 indexed citations
13.
Ryaben’kii, Viktor S., et al.. (1992). The transfer of boundary conditions across a vacuum in axisymmetric problems. Computational Mathematics and Mathematical Physics. 32(12). 1757–1767. 3 indexed citations
14.
Ryaben’kii, Viktor S.. (1985). Boundary equations with projections. Russian Mathematical Surveys. 40(2). 147–183. 36 indexed citations
15.
Ryaben’kii, Viktor S., et al.. (1985). The algorithm of the method of difference potentials. USSR Computational Mathematics and Mathematical Physics. 25(5). 144–151. 4 indexed citations
16.
Ryaben’kii, Viktor S.. (1975). Local splines. Computer Methods in Applied Mechanics and Engineering. 5(2). 211–225. 1 indexed citations
17.
Ryaben’kii, Viktor S.. (1969). Green's formula for systems of difference equations with constant coefficients. Mathematical Notes. 5(5). 369–373. 2 indexed citations
18.
Ryaben’kii, Viktor S.. (1964). Necessary and sufficient conditions for good definition of boundary value problems for systems of ordinary difference equations. USSR Computational Mathematics and Mathematical Physics. 4(2). 43–61. 15 indexed citations
19.
Годунов, С. К. & Viktor S. Ryaben’kii. (1963). Canonical forms of systems of ordinary linear difference equations with constant coefficients. USSR Computational Mathematics and Mathematical Physics. 3(2). 281–295. 4 indexed citations
20.
Годунов, С. К. & Viktor S. Ryaben’kii. (1963). SPECTRAL STABILITY CRITERIA FOR BOUNDARY-VALUE PROBLEMS FOR NON-SELF-ADJOINT DIFFERENCE EQUATIONS. Russian Mathematical Surveys. 18(3). 1–12. 20 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.

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