Russian Journal of Numerical Analysis and Mathematical Modelling

Aims & Scope

The Russian Journal of Numerical Analysis and Mathematical Modelling, published bimonthly, provides English translations of selected new original Russian papers on the theoretical aspects of numerical analysis and the application of mathematical methods to simulation and modelling.

The editorial board, consisting of the most prominent Russian scientists in numerical analysis and mathematical modelling, selects papers on the basis of their high scientific standard, innovative approach and topical interest.

Topics: -numerical analysis- numerical linear algebra- finite element methods for PDEs- iterative methods- Monte-Carlo methods- mathematical modelling and numerical simulation in geophysical hydrodynamics, immunology and medicine, fluid mechanics and electrodynamics, geosciences.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	0.6
2024	0.50

SJR (SCImago Journal Rank)

Year	Value
2024	0.283

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	25

Journal Rank

Year	Value
2024	17223

Journal Citation Indicator

Year	Value
2024	62

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Mathematics, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Analysis of numerical techniques of the direct simulation Monte Carlo method in the rarefied gas dynamics

  Citation: 218

  Authors: M. S., S. V.

• Simulation of the modern climate using the INM-CM48 climate model

  Citation: 205

  Authors: Evgenii M., Evgeny V., Sergey V., Vener Ya., Vasily N., Andrey S., Nikolay A., Anatoly V., Nikolay G., Anna A., Svetlana V.

• Neural networks for topology optimization

  Citation: 201

  Authors: Ivan, Ivan

• Minimal stencil finite volume scheme with the discrete maximum principle

  Citation: 65

  Authors: K., D., Yu.

• Fictitious domain and domain decomposition methods

  Citation: 64

  Authors: G. I., YU. A., A. M.

• New mixed finite element method on polygonal and polyhedral meshes

  Citation: 64

  Authors: Yu., S.

• A monotone nonlinear finite volume method for diffusion equations on conformal polyhedral meshes

  Citation: 59

  Authors: A. A., Yu. V.

• TT-GMRES: solution to a linear system in the structured tensor format

  Citation: 54

  Authors: S. V.

• Numerical model of the circulation of the Black Sea and the Sea of Azov

  Citation: 51

  Authors: V. B., N. A., V. V., S. N., S. G.

• Numerical simulation of large-scale ocean circulation based on the multicomponent splitting method

  Citation: 47

  Authors: V. B., G. I., V. I., A. V., A. V., N. A., S. N., R., E. M.

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