International Journal for Numerical Methods in Engineering

Papers
(The H4-Index of International Journal for Numerical Methods in Engineering is 26. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)
ArticleCitations
Issue Information156
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Issue Information55
Control Variates Method to Estimate Stochastic Buckling Loads46
Issue Information43
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Data‐physics driven reduced order homogenization42
Computational homogenization of higher‐order continua41
Space and chaos‐expansion Galerkin proper orthogonal decomposition low‐order discretization of partial differential equations for uncertainty quantification39
On sparse regression, Lp‐regularization, and automated model discovery39
Topology optimization of stability‐constrained structures with simple/multiple eigenvalues36
Elastoplastic damage model and numerical implementation of nano‐silica incorporated concrete34
On the mapping procedure based on higher‐order Hermite polynomials for laminated thin plates with arbitrary domains in gradient elasticity34
Physics‐Informed Neural Networks for Solving Parameterized Dual‐Domain Darcy–Brinkman Flows in Gradient Porous Mediums32
A decoupled probabilistic constrained topology optimization method based on the constraint shift31
Issue Information31
The Force Method Version of Goodman's Joint Element with Convergence Proof31
Structure preserving and energy dissipative contact approaches for implicit dynamics30
A two‐way coupling approach for simulating bouncing droplets29
Improved back propagation neural network based on the enrichment for the crack propagation28
Intelligent stiffness computation for plate and beam structures by neural network enhanced finite element analysis28
Sparse Bayesian learning for complex‐valued rational approximations27
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Regularized X‐FEM Modeling of Arbitrary 3D Interacting Crack Networks27
Hybrid time‐dependent reliability analysis under a mixture of random and interval uncertainties26
A novel numerical strategy for modeling the moving boundary value problem of electrochemical machining26
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