Russian Journal of Numerical Analysis and Mathematical Modelling

Papers
(The TQCC of Russian Journal of Numerical Analysis and Mathematical Modelling is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)
ArticleCitations
Numerical modelling of large elasto-plastic multi-material deformations on Eulerian grids13
Multiphysics modelling of immune processes using distributed parameter systems12
Estimation of the average particle flux in a stochastically homogeneous medium by Monte Carlo method9
Four-dimensional variational data assimilation system for the Earth ionosphere9
An energy consistent summation-by-parts finite difference discretization for the non-hydrostatic atmospheric dynamics equations on the cubed-sphere grid8
Multiresolution approximation for shallow water equations using summation-by-parts finite differences7
Frontmatter7
Numerical investigation of turbulent flow at low Reynolds numbers for a polymer solution6
Application of hybrid feature selection methods to improve turbulence models using machine learning6
Frontmatter5
Sensitivity of functionals of the solution to a variational data assimilation problem with heat flux reconstruction for the sea thermodynamics model5
Computational methods for multiscale modelling of virus infection dynamics5
Frontmatter4
Contents4
Numerical solution of optimal control problems for linear systems of ordinary differential equations3
Construction and optimization of numerically-statistical projection algorithms for solving integral equations3
Simulating the propagation of boundary-layer disturbances by solving boundary-value and initial-value problems3
Non-local discretization of the isoneutral diffusion operator in a terrain-following climate ocean model3
High-performance conjugate gradient solver with two-level multiplicative preconditioner for finite element problems3
Monte Carlo simulation of polarized lidar returns for atmospheric clouds sensing3
Optimization of data assimilation methods for the INM-IM ionosphere model3
Contents3
Frontmatter3
The method of adjoint equations for solving the problem of quasi-geostrophic currents in a two-layer ocean periodic channel3
Temporally and spatially segregated discretization for a coupled electromechanical myocardium model3
A fully coupled finite volume – virtual element scheme for poroelasticity problems in variably saturated porous media3
Patient specific numerical hemodynamics for postoperative risk assessment: series case study of EC-IC cerebral bypass3
Well-balanced finite difference scheme for solving the nonlinear dispersive shallow water equations on a moving grid3
Simulation of modern and future climate by INM-CM6M2
Frontmatter2
Stochastic simulation of a signal on a photodetector matrix of a laser navigation system2
Flux-corrected summation-by-parts finite-difference solver for atmospheric transport2
Reaching the scalability of a distributed AMG solver2
The Editorial Board of the Journal with deep regret is announcing the death of Prof. Yuri Alekseevich KUZNETSOV aged 79, on January 30, 20242
Refining uniform approximation algorithm for low-rank Chebyshev embeddings2
Frontmatter2
Linear regularized finite difference scheme for the quasilinear subdiffusion equation2
Effect of electron temperature on formation of travelling waves in plasma: Kinetic and hydrodynamic models2
Frontmatter2
Dependence of optimal disturbances on periodic solution phases for time-delay systems2
Variability in cellular automata for modelling substrate diffusion in microbial systems2
Quantifying the contribution of tropical Indo-Pacific interbasin interaction to sea surface temperature predictability using an empirical model2
Application of minimum description length criterion to assess the complexity of models in mathematical immunology2
Statistical separation of mixtures in the problem of reconstructing the coefficients of an Itô stochastic process-type model of the interplanetary magnetic flux density: 2
ENSO phase locking, asymmetry and predictability in the INMCM Earth system model2
0.094258069992065