HLLC-type Riemann solver for the Baer–Nunziato equations of compressible two-phase flow SA Tokareva, EF Toro Journal of Computational Physics 229 (10), 3573-3604, 2010 | 167 | 2010 |

Numerical solution of scalar conservation laws with random flux functions S Mishra, NH Risebro, C Schwab, S Tokareva SIAM/ASA Journal on Uncertainty Quantification 4 (1), 552-591, 2016 | 43 | 2016 |

High order approximation of probabilistic shock profiles in hyperbolic conservation laws with uncertain initial data C Schwab, S Tokareva ESAIM: Mathematical Modelling and Numerical Analysis 47 (3), 807-835, 2013 | 29 | 2013 |

A high-order nonconservative approach for hyperbolic equations in fluid dynamics R Abgrall, P Bacigaluppi, S Tokareva Computers & Fluids 169, 10-22, 2018 | 26 | 2018 |

High-order residual distribution scheme for the time-dependent Euler equations of fluid dynamics R Abgrall, P Bacigaluppi, S Tokareva Computers & Mathematics with Applications 78 (2), 274-297, 2019 | 20 | 2019 |

A flux splitting method for the Baer–Nunziato equations of compressible two-phase flow SA Tokareva, EF Toro Journal of Computational Physics 323, 45-74, 2016 | 15 | 2016 |

Staggered grid residual distribution scheme for Lagrangian hydrodynamics R Abgrall, S Tokareva SIAM Journal on Scientific Computing 39 (5), A2317-A2344, 2017 | 14 | 2017 |

How to avoid mass matrix for linear hyperbolic problems R Abgrall, P Bacigaluppi, S Tokareva Numerical Mathematics and Advanced Applications ENUMATH 2015, 75-86, 2016 | 11 | 2016 |

Analysis of the SBP-SAT stabilization for finite element methods part I: Linear problems R Abgrall, J Nordström, P Öffner, S Tokareva Journal of Scientific Computing 85 (2), 1-29, 2020 | 10 | 2020 |

Model order reduction for parametrized nonlinear hyperbolic problems as an application to uncertainty quantification R Crisovan, D Torlo, R Abgrall, S Tokareva Journal of Computational and Applied Mathematics 348, 466-489, 2019 | 10 | 2019 |

High order SFV and mixed SDG/FV methods for the uncertainty quantification in multidimensional conservation laws S Tokareva, C Schwab, S Mishra High order nonlinear numerical schemes for evolutionary PDEs, 109-133, 2014 | 10 | 2014 |

Analysis of the SBP-SAT stabilization for finite element methods part II: entropy stability R Abgrall, J Nordström, P Öffner, S Tokareva Communications on Applied Mathematics and Computation, 1-23, 2021 | 9 | 2021 |

The solution of gas dynamics problems with shock waves using Runge–Kutta discontinous Galerkin method MP Galanin, EB Savenkov, SA Tokareva Matematicheskoe modelirovanie 20 (11), 55-66, 2008 | 9 | 2008 |

Stochastic finite volume methods for computational uncertainty quantification in hyperbolic conservation laws S Tokareva ETH Zurich, 2013 | 8 | 2013 |

A machine learning approach for detecting shocks with high-order hydrodynamic methods NR Morgan, S Tokareva, X Liu, A Morgan AIAA Scitech 2020 Forum, 2024, 2020 | 7 | 2020 |

Multidimensional staggered grid residual distribution scheme for Lagrangian hydrodynamics R Abgrall, K Lipnikov, N Morgan, S Tokareva SIAM Journal on Scientific Computing 42 (1), A343-A370, 2020 | 6 | 2020 |

Solving gas dynamics problems with shock waves using the Runge-Kutta discontinuous Galerkin method MP Galanin, EB Savenkov, SA Tokareva Mathematical Models and Computer Simulations 1 (5), 635-645, 2009 | 4 | 2009 |

" A Posteriori" Limited High Order and Robust Residual Distribution Schemes for Transient Simulations of Fluid Flows in Gas Dynamics P Bacigaluppi, R Abgrall, S Tokareva arXiv preprint arXiv:1902.07773, 2019 | 3 | 2019 |

Low-dissipation centred schemes for hyperbolic equations in conservative and non-conservative form EF Toro, B Saggiorato, S Tokareva, A Hidalgo Journal of Computational Physics 416, 109545, 2020 | 2 | 2020 |

Machine learning approaches for the solution of the riemann problem in fluid dynamics: a case study V Gyrya, M Shashkov, A Skurikhin, S Tokareva preprint, 2020 | 2 | 2020 |