Iranian Journal of Numerical Analysis and Optimization

Iranian Journal of Numerical Analysis and Optimization

Iranian Journal of Numerical Analysis and Optimization

Journal Archive

 

SCImago Journal & Country Rank           Journal Metrics

Cite Score  (2024)   1.0
SJR (2025)
   0.294
SNIP (2024)
   0.251
SJR   Q3
MSRT Grade    International
Publication  format   Online
Number of Issues   38
Number of Articles   416
Number of Contributors   816
Number of Reviewers   2381
Submission Count   1,509
Accept Count   390
Reject Count   911
Acceptance Rate   26%
Article View   13,335,767
PDF Download    7,000,596
Time to Accept (Days)   107

 

IJNAO Advances from Q4 to Q3 in the Latest SJR Ranking

The Iranian Journal of Numerical Analysis and Optimization (IJNAO) is pleased to announce that, according to the latest Scimago Journal Rank (SJR) results, the journal has been promoted from Quartile 4 (Q4) to Quartile 3 (Q3).

This achievement reflects the continuous efforts of the journal’s Editorial Board members, reviewers, authors, and editorial staff in maintaining and enhancing the scientific quality of the journal. The Editorial Office sincerely appreciates the valuable contributions and support of all colleagues who have played a role in this accomplishment.

The Editorial Board remains committed to improving the quality, impact, and international recognition of the journal and looks forward to achieving even greater milestones in the future.

Professor Ali R. Soheili
Editor-in-Chief
Iranian Journal of Numerical Analysis and Optimization (IJNAO)
Ferdowsi University of Mashhad

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The Iranian Journal of Numerical Analysis and Optimization (IJNAO) publishes original papers of high scientific value in all areas of numerical analysis and optimization. All research articles accepted and published by IJNAO are immediately freely available online to read, download, and share, without any subscription charges or registration barriers.

 IJNAO is indexed in

    

Most Visited Articles
Comparison of homotopy perturbation transform method and fractional Adams–Bashforth method for the Caputo–Prabhakar nonlinear fractional differential equations
Singularly perturbed two-point boundary value problem by applying exponential fitted finite difference method
2D-fractional Muntz–Legendre polynomials for solving the fractional partial differential equations
Optimal control of water pollutant transmission by utilizing a combined Jacobi collocation method and mountain Gazelle algorithm
Optimal control analysis for modeling HIV transmission
Improving the performance of the FCM algorithm in clustering using the DBSCAN algorithm
An analytical and numerical approach for the $(1+1)$-dimensional nonlinear Kolmogorov–Petrovskii–Piskunov equation
Current Issue: Volume 16, Issue 3 - Serial Number 38, Summer 2026, Pages 757-1188 

Keywords Cloud

  • optimal control
  • Stability
  • Stability analysis
  • error analysis
  • Operational matrix
  • Convergence
  • Convergence Analysis
  • Collocation method
  • Caputo fractional derivative
  • Caputo derivative
  • Radial basis functions
  • Optimal control problem
  • Uniform convergence
  • Numerical simulation
  • Mathematical model
  • Genetic algorithm
  • Hopf bifurcation
  • Nonlinear equations
  • Pontryagin’s maximum principle
  • Global convergence
  • Unconstrained optimization
  • Singularly perturbed problem
  • Singular perturbation
  • Covid-19
  • Iterative method
  • Fractional differential equation
  • order of convergence
  • Constrained optimization
  • Mathematical modeling
  • Basic reproduction number
  • Data Envelopment Analysis
  • sensitivity analysis
  • Singular perturbation problem
  • Global stability
  • Bifurcation
  • Fixed point
  • Chebyshev polynomials
  • Multi-Objective Optimization
  • Conjugate Gradient Method
  • finite difference method
  • Conformable fractional derivative
  • Boundary value problems
  • Pontryagin maximum principle
  • Numerical Solution
  • Legendre wavelet
  • Stochastic Gradient Descent
  • Partial differential equations
  • Singularly perturbed
  • Volterra integral equation
  • fractional derivative
  • Line search
  • Accuracy
  • simulation
  • Inverse source problem
  • Operational matrices
  • Interpolation
  • boundary layer
  • Ordinary differential equation
  • Optimal control problems
  • Image denoising
  • Time delay
  • Weak solution
  • Fractional differential equations
  • Neural Network
  • collocation
  • Runge-Kutta methods
  • Particle swarm optimization
  • Iterative methods
  • Strain-based formulation
  • Duality
  • Wave equation
  • Liquidity
  • Equilibrium condition
  • Fractional diffusion equation
  • Integro-differential equations
  • asymptotically stable
  • Environmental Transmission
  • Cacti plants
  • Khalouta transform
  • Fractional-order model
  • Lane–Emden equation
  • Power series method
  • Jacobi polynomials
  • Approximate solution
  • Spatio-temporal Model
  • fractional integro-differential equation
  • Reproduction number
  • Shishkin mesh
  • Uncertainty
  • Interior layers
  • Bessel polynomials
  • Wavelet approximation
  • Credit default swap (CDS)
  • Genocchi polynomials
  • Vector optimization
  • E-commerce
  • Volterra integral equations
  • Sturm–Liouville problem
  • Optimality conditions
  • Numerical evaluation
  • Vaccination reproduction number
  • Convection-diffusion problem
  • Higher-order strain field
  • Metaheuristic optimization
  • Drilling degrees of freedom
  • delay differential equation
  • Machine learning
  • variational iteration method
  • Fredholm integral equation
  • Chaos
  • Upwind scheme
  • Hybrid methods
  • Optimal control theory
  • Pontryagin Maximum
  • Green’s function
  • Approximation
  • Tension spline
  • measure theory
  • Bernstein polynomial
  • Homotopy Analysis Method
  • controllability
  • Eigenvalues
  • Penalty method
  • Operational matrix of derivative
  • Reproducing kernel space
  • Nonlocal boundary conditions
  • Network
  • Fractional order
  • Primal-dual algorithm
  • Allen–Cahn equation
  • Bernstein polynomials
  • Observability
  • Priority rule
  • General linear methods
  • Laplace Transform
  • Resource measure
  • Krylov subspace methods
  • Differential Transform Method
  • matrix equation
  • Fractional partial differential equation
  • Limit cycle
  • Finite difference scheme
  • Best approximation
  • Local discontinuous Galerkin method
  • Optimization
  • Numerical Simulations
  • Linear programming
  • Elzaki transform
  • Nonstandard finite difference scheme
  • Nondominated
  • Linear multistep methods
  • Nonmonotone line search
  • Haar wavelet
  • sine-Gordon equation
  • Adaptive radius
  • Finite Element
  • Chebyshev wavelets
  • Sliding mode control
  • Diffusion equation
  • Finite Element Method
  • Burgers equation
  • Fuzzy theory
  • Total variation
  • Staircasing effect
  • Operational matrix of integration
  • Huxley equation
  • Nonmonotone technique
  • Second derivative methods
  • Multiple right-hand sides
  • Linear stability
  • Inverse Problem
  • Adomian polynomials
  • Image restoration
  • Stochastic differential equations
  • Numerical Method
  • Variable neighborhood search
  • Volterra integro-differential equations
  • Sensitivity
  • Interior layer
  • Non-Archimedean
  • Decision Making Units (DMUs)
  • Ordered field
  • Splitting iteration method
  • Skew- Hermitian matrix
  • prediction
  • Hermitian matrix
  • Normal matrix
  • semi-analytical solution
  • Non-Hermitian matrix
  • MMPDE
  • Inverse heat conduction problem
  • Dynamic Programming
  • Local time stepping refinement
  • Moving mesh
  • polycyclic groups
  • Level contours
  • Level set function
  • FC-groups
  • Hybrid
  • Adaptive grid