Focus and Scope

Global Journal of Mathematics (GJMTH) is a peer-reviewed academic journal that publishes original, high-quality, and rigorously reviewed research in pure and applied mathematics. The journal prioritizes contributions that demonstrate strong theoretical development, analytical depth, and methodological rigor, with relevance to contemporary mathematical problems and interdisciplinary applications at national, regional, and global levels.

The journal welcomes theoretical, computational, and applied studies that advance mathematical knowledge and its applications in science, engineering, economics, and technology. Particular emphasis is placed on research that integrates mathematics with data science, artificial intelligence, and real-world problem solving.

GJMTH aims to advance mathematical scholarship by promoting rigorous proof-based research, encouraging innovation in mathematical modeling, and supporting interdisciplinary collaboration. The journal positions itself as a platform for impactful scholarship with strong international visibility and citation potential.

Scope

1. Algebra and Number Theory

  • Abstract algebra and algebraic structures
  • Number theory and arithmetic properties
  • Algebraic geometry and commutative algebra

2. Analysis

  • Real and complex analysis
  • Functional analysis
  • Harmonic analysis
  • Measure theory and integration

3. Geometry and Topology

  • Differential geometry
  • Algebraic topology
  • Geometric analysis
  • Manifolds and geometric structures

4. Applied Mathematics

  • Mathematical modeling and simulation
  • Optimization and operations research
  • Numerical analysis and scientific computing
  • Industrial and engineering mathematics

5. Probability and Statistics

  • Probability theory and stochastic processes
  • Statistical inference and modeling
  • Bayesian and nonparametric methods
  • Data analysis and statistical computing

6. Discrete Mathematics and Combinatorics

  • Graph theory and network analysis
  • Combinatorics and discrete structures
  • Coding theory and cryptography

7. Computational Mathematics and Data Science

  • Algorithms and computational methods
  • Mathematics for machine learning and AI
  • Big data analytics and modeling
  • Scientific computing and numerical algorithms

8. Mathematical Physics

  • Mathematical methods in physics
  • Dynamical systems and chaos theory
  • Quantum mathematics and field theory

9. Mathematics Education

  • Teaching and learning of mathematics
  • Curriculum and assessment
  • Mathematical thinking and problem-solving
  • Technology in mathematics education

10. Interdisciplinary Applications of Mathematics

  • Mathematics in economics and finance
  • Mathematics in biology and health sciences
  • Mathematics in environmental and social sciences
  • Cross-disciplinary mathematical modeling

Editorial Emphasis

  • Clear research gap and originality
  • Strong theoretical contribution and proof rigor
  • Analytical depth and methodological precision
  • Reproducibility and transparency of results
  • Interdisciplinary relevance and application
  • Use of recent and high-quality international references