KazNU Bulletin. Mathematics, Mechanics, Computer Science Series

Aims & Scope

Journal of Mathematics, Mechanics and Computer Science publishes scientific articles on the most relevant sections of mathematics, mechanics and informatics, as well as brief reports on conferences held at the Faculty of Mechanics and Mathematics of Al- Farabi KazNU , and information on mathematical life in the country and abroad.

The journal publishes original articles on specific scientific issues in all major thematic areas of theoretical and applied research, such as: Algebra, logic, geometry.

Mathematical analysis.

Function theory, functional analysis.

Differential equations.

Mathematical statistics.

Optimal control, number theory.

Mathematical logic.

Algorithm theory.

Computational mathematics.

Theoretical mechanics.

Applied mechanics and motion control.

Hydrodynamics.

Aeromechanics.

Gas and wave dynamics.

Theory of elasticity.

Plasticity theory.

Robotics.

Computer science and information systems.

Cybernetics.

Programming.

Computing equipment.

Artificial intelligence.

Metrics & Ranking

Abstracting & Indexing

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

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)
• Web of Science

Subjects & Keywords

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

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Apc url
• License

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Computer Science and Mathematics, ensuring accessibility and quality in research dissemination.

This journal requires an Article Processing Charge (APC) to support open access publishing, covering peer review, editing, and distribution. The current APC is 5,000.00 KZT. Learn more.

Explore journals without APCs for alternative publishing options.

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.

• Logical automatic implementation of steganographic coding algorithms

  Citation: 11

  Authors: I.

• On the minimization of k-valued logic functions in the class of disjunctive normal forms

  Citation: 8

  Authors: A., A., M.

• NUMERICAL IMPLEMENTATION FOR SOLVING THE BOUNDARY VALUE PROBLEM FOR IMPULSIVE INTEGRO-DIFFERENTIAL EQUATIONS WITH PARAMETER

  Citation: 7

  Authors: E., N., Zh.

• Обратная задача для определения правой части псевдопараболического уравнения

  Citation: 6

  Authors: Kh., A.

• STUDY OF BOREHOLE HEAT EXCHANGER HEAT TRANSFER ENHANCEMENT PARAMETERS

  Citation: 5

  Authors: T., E., M., A.

• Initial-boundary value problem for the time-fractional degenerate diffusion equation

  Citation: 5

  Authors: A. G.

• Predicting heart disease using machine learning algorithms

  Citation: 4

  Authors: A., Z.

• Integrating multiperiodic functions along the periodic characteristics of the diagonal differentiation operator

  Citation: 3

  Authors: Zh., B., G., A.

• Cauchy problems for the time-fractional degenerate diffusion equations

  Citation: 3

  Authors: M., A.

• Morphological parsing of Kazakh texts with deep learning approaches

  Citation: 3

  Authors: M.E., D.R.