International Journal of Computer Mathematics

Aims & Scope

International Journal of Computer Mathematics (IJCM) is a world-leading journal serving the community of researchers in numerical analysis and scientific computing from academia to industry.

IJCM publishes original research papers of high scientific value in fields of computational mathematics with profound applications to science and engineering.

IJCM welcomes papers on the analysis and applications of innovative computational strategies as well as those with rigorous explorations of cutting-edge techniques and concerns in computational mathematics.

Topics IJCM considers include: • Numerical solutions of systems of partial differential equations • Numerical solution of systems or of multi-dimensional partial differential equations • Theory and computations of nonlocal modelling and fractional partial differential equations • Novel multi-scale modelling and computational strategies • Parallel computations • Numerical optimization and controls • Imaging algorithms and vision configurations • Computational stochastic processes and inverse problems • Stochastic partial differential equations, Monte Carlo simulations and uncertainty quantification • Computational finance and applications • Highly vibrant and robust algorithms, and applications in modern industries, including but not limited to multi-physics, economics and biomedicine.

View Aims & Scope

---

Metrics & Ranking

Impact Factor

Year	Value
2025	1.3
2024	1.70

SJR (SCImago Journal Rank)

Year	Value
2024	0.501

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	59

Journal Rank

Year	Value
2024	11567

Journal Citation Indicator

Year	Value
2024	628

---

---

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

---

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.

---

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.

• On benchmarking functions for genetic algorithms

  Citation: 357

  Authors: J.G., K.G.

• Three approaches to the quantitative definition of information^*

  Citation: 301

  Authors: A. N.

• Development of non-linear transformations for improving convergence of sequences

  Citation: 299

  Authors: David

• On linear stability of predictor–corrector algorithms for fractional differential equations

  Citation: 211

  Authors: Roberto

• The locally twisted cubes

  Citation: 192

  Authors: Xiaofan, David J., Graham M.

• The Adomian decomposition method for solving delay differential equation

  Citation: 164

  Authors: D. J., K. R.

• Block methods for second order odes

  Citation: 130

  Authors: Simeon

• Group explicit iterative methods for solving large linear systems

  Citation: 128

  Authors: D.J.

• The<i>g</i>-extra conditional diagnosability and sequential<i>t/k</i>-diagnosability of hypercubes

  Citation: 126

  Authors: Shurong, Weihua

• An Experimental Study of Benchmarking Functions for Genetic Algorithms

  Citation: 122

  Authors: Jason G., Konstantinos G.

---