Mathematical Modelling of Natural Phenomena

Aims & Scope

The Mathematical Modelling of Natural Phenomena (MMNP) is an international research journal, which publishes top-level original and review papers, short communications and proceedings on mathematical modelling in biology, medicine, chemistry, physics, and other areas.

The scope of the journal is devoted to mathematical modelling with sufficiently advanced model, and the works studying mainly the existence and stability of stationary points of ODE systems are not considered.

The scope of the journal also includes applied mathematics and mathematical analysis in the context of its applications to the real world problems.

The journal is essentially functioning on the basis of topical issues representing active areas of research.

Each topical issue has its own editorial board.

The authors are invited to submit papers to the announced issues or to suggest new issues.

Journal publishes research articles and reviews within the whole field of mathematical modelling, and it will continue to provide information on the latest trends and developments in this ever-expanding subject.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.1
2024	2.60

SJR (SCImago Journal Rank)

Year	Value
2024	0.426

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	44

Journal Rank

Year	Value
2024	13209

Journal Citation Indicator

Year	Value
2024	296

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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.

• New numerical approach for fractional differential equations

  Citation: 253

  Authors: Abdon, Kolade M.

• Epidemiological Models and Lyapunov Functions

  Citation: 164

  Authors: A., A., G., J. J.

• On the Use of the Hill Functions in Mathematical Models of Gene Regulatory Networks

  Citation: 156

  Authors: M.

• Methods of Blood Flow Modelling

  Citation: 153

  Authors: N., A., S., Yu., V.

• On Nonlinear Dynamics of Predator-Prey Models with Discrete Delay

  Citation: 142

  Authors: S.

• Pattern and Waves for a Model in Population Dynamics with Nonlocal Consumption of Resources

  Citation: 137

  Authors: S., V., P.

• New aspects of fractional Biswas–Milovic model with Mittag-Leffler law

  Citation: 123

  Authors: Jagdev, Devendra, Dumitru

• Modeling the dynamics of hepatitis E <i>via</i> the Caputo–Fabrizio derivative

  Citation: 118

  Authors: Muhammad Altaf, Zakia, Dumitru

• A High-Order Unifying Discontinuous Formulation for the Navier-Stokes Equations on 3D Mixed Grids

  Citation: 118

  Authors: T., H., Z. J.

• Inverse Stable Subordinators

  Citation: 114

  Authors: M. M., P.

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