Iryna Rybak

675 total citations
24 papers, 427 citations indexed

About

Iryna Rybak is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Numerical Analysis. According to data from OpenAlex, Iryna Rybak has authored 24 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Mechanics, 13 papers in Computational Theory and Mathematics and 6 papers in Numerical Analysis. Recurrent topics in Iryna Rybak's work include Advanced Mathematical Modeling in Engineering (13 papers), Advanced Numerical Methods in Computational Mathematics (9 papers) and Lattice Boltzmann Simulation Studies (6 papers). Iryna Rybak is often cited by papers focused on Advanced Mathematical Modeling in Engineering (13 papers), Advanced Numerical Methods in Computational Mathematics (9 papers) and Lattice Boltzmann Simulation Studies (6 papers). Iryna Rybak collaborates with scholars based in Germany, United States and Belarus. Iryna Rybak's co-authors include Rainer Helmig, Klaus Mosthaf, Bernd Flemisch, A. Leijnse, Barbara Wohlmuth, П. П. Матус, Cass T. Miller, William G. Gray, Christian Rohde and Oleg Iliev and has published in prestigious journals such as Journal of Fluid Mechanics, Water Resources Research and Journal of Computational Physics.

In The Last Decade

Iryna Rybak

22 papers receiving 409 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iryna Rybak Germany 11 251 134 82 75 52 24 427
Thierry Dubois France 13 223 0.9× 50 0.4× 50 0.6× 81 1.1× 39 0.8× 29 442
Gérard Gagneux France 12 162 0.6× 124 0.9× 61 0.7× 17 0.2× 45 0.9× 35 389
Helio Pedro Amaral Souto Brazil 8 162 0.6× 59 0.4× 39 0.5× 87 1.2× 30 0.6× 34 319
Radek Fučík Czechia 12 139 0.6× 47 0.4× 30 0.4× 97 1.3× 39 0.8× 38 312
Steffen Müthing Germany 4 119 0.5× 53 0.4× 41 0.5× 172 2.3× 49 0.9× 7 352
Donald L. Brown United States 11 147 0.6× 155 1.2× 159 1.9× 50 0.7× 11 0.2× 25 335
Carina Bringedal Germany 10 149 0.6× 114 0.9× 66 0.8× 57 0.8× 16 0.3× 31 283
Benjamin Ganis United States 12 263 1.0× 210 1.6× 169 2.1× 72 1.0× 38 0.7× 24 419
Alexandre Caboussat United States 12 200 0.8× 49 0.4× 33 0.4× 18 0.2× 17 0.3× 51 419
V. M. Ryzhik Israel 5 110 0.4× 76 0.6× 104 1.3× 160 2.1× 50 1.0× 10 513

Countries citing papers authored by Iryna Rybak

Since Specialization
Citations

This map shows the geographic impact of Iryna Rybak'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 Iryna Rybak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iryna Rybak more than expected).

Fields of papers citing papers by Iryna Rybak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iryna Rybak. 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 Iryna Rybak. The network helps show where Iryna Rybak may publish in the future.

Co-authorship network of co-authors of Iryna Rybak

This figure shows the co-authorship network connecting the top 25 collaborators of Iryna Rybak. A scholar is included among the top collaborators of Iryna Rybak 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 Iryna Rybak. Iryna Rybak 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.
Rybak, Iryna, et al.. (2023). A Modification of the Beavers–Joseph Condition for Arbitrary Flows to the Fluid–porous Interface. Transport in Porous Media. 147(3). 605–628. 8 indexed citations
2.
Flemisch, Bernd, et al.. (2023). A surrogate-assisted uncertainty-aware Bayesian validation framework and its application to coupling free flow and porous-medium flow. Computational Geosciences. 27(4). 663–686. 3 indexed citations
3.
Oladyshkin, Sergey, et al.. (2023). Global sensitivity analysis using multi-resolution polynomial chaos expansion for coupled Stokes–Darcy flow problems. Computational Geosciences. 27(5). 805–827. 1 indexed citations
4.
Discacciati, Marco, et al.. (2022). Analysis of the Stokes–Darcy problem with generalised interface conditions. ESAIM. Mathematical modelling and numerical analysis. 56(2). 727–742. 3 indexed citations
5.
Iliev, Oleg, et al.. (2022). On upscaling heat conductivity for a class of industrial problems. Publication Server of Kaiserslautern University of Technology (Kaiserslautern University of Technology). 3 indexed citations
6.
Jain, Kartik, Nikolaos Karadimitriou, Carina Bringedal, et al.. (2021). Permeability Estimation of Regular Porous Structures: A Benchmark for Comparison of Methods. Transport in Porous Media. 138(1). 1–23. 29 indexed citations
7.
Rybak, Iryna, et al.. (2020). Validation and calibration of coupled porous-medium and free-flow problems using pore-scale resolved models. PUBLISSO (German National Library of Medicine). 26 indexed citations
8.
Rybak, Iryna, et al.. (2020). A dimensionally reduced Stokes–Darcy model for fluid flow in fractured porous media. Applied Mathematics and Computation. 384. 125260–125260. 8 indexed citations
9.
Rybak, Iryna, et al.. (2020). Unsuitability of the Beavers–Joseph interface condition for filtration problems. Journal of Fluid Mechanics. 892. 28 indexed citations
10.
Rohde, Christian, et al.. (2015). A Hyperbolic–Elliptic Model Problem for Coupled Surface–Subsurface Flow. Transport in Porous Media. 114(2). 425–455. 4 indexed citations
11.
Rybak, Iryna, et al.. (2015). Multirate time integration for coupled saturated/unsaturated porous medium and free flow systems. Computational Geosciences. 19(2). 299–309. 34 indexed citations
12.
Rybak, Iryna, William G. Gray, & Cass T. Miller. (2014). Modeling two-fluid-phase flow and species transport in porous media. Journal of Hydrology. 521. 565–581. 16 indexed citations
13.
Rybak, Iryna, et al.. (2014). A multiple-time-step technique for coupled free flow and porous medium systems. Journal of Computational Physics. 272. 327–342. 39 indexed citations
14.
15.
Mosthaf, Klaus, Bernd Flemisch, Rainer Helmig, et al.. (2011). A coupling concept for two‐phase compositional porous‐medium and single‐phase compositional free flow. Water Resources Research. 47(10). 119 indexed citations
16.
Ewing, Richard E., et al.. (2009). A Simplified Method for Upscaling Composite Materials with High Contrast of the Conductivity. SIAM Journal on Scientific Computing. 31(4). 2568–2586. 21 indexed citations
17.
Iliev, Oleg & Iryna Rybak. (2008). ON NUMERICAL UPSCALING FOR FLOWS IN HETEROGENEOUS POROUS MEDIA. Computational Methods in Applied Mathematics. 8(1). 60–76. 5 indexed citations
18.
Матус, П. П. & Iryna Rybak. (2004). Difference Schemes for Elliptic Equations with Mixed Derivatives. Computational Methods in Applied Mathematics. 4(4). 494–505. 10 indexed citations
19.
Матус, П. П., et al.. (2004). Applications of fully conservative schemes in nonlinear thermoelasticity: modelling shape memory materials. Mathematics and Computers in Simulation. 65(4-5). 489–509. 26 indexed citations
20.
Матус, П. П. & Iryna Rybak. (2003). Monotone Difference Schemes for Nonlinear Parabolic Equations. Differential Equations. 39(7). 1013–1022. 2 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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