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 2022-01-01 to 2026-01-01.)
ArticleCitations
159
Issue Information71
Issue Information64
An F‐Bar B‐Spline Material Point Method for Capturing Size‐Dependent Strain Localization With Finite Strain Gradient Plasticity58
54
Space and chaos‐expansion Galerkin proper orthogonal decomposition low‐order discretization of partial differential equations for uncertainty quantification52
The Force Method Version of Goodman's Joint Element with Convergence Proof48
Issue Information46
Structure preserving and energy dissipative contact approaches for implicit dynamics43
A two‐way coupling approach for simulating bouncing droplets39
Intelligent stiffness computation for plate and beam structures by neural network enhanced finite element analysis39
Improved back propagation neural network based on the enrichment for the crack propagation36
A novel numerical strategy for modeling the moving boundary value problem of electrochemical machining35
35
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Finite elements based on Jacobi shape functions for the analysis of beams, plates and shells34
Topology optimization of stability‐constrained structures with simple/multiple eigenvalues33
Sparse Bayesian learning for complex‐valued rational approximations30
A decoupled probabilistic constrained topology optimization method based on the constraint shift30
Regularized X‐FEM Modeling of Arbitrary 3D Interacting Crack Networks29
Data‐physics driven reduced order homogenization29
On the mapping procedure based on higher‐order Hermite polynomials for laminated thin plates with arbitrary domains in gradient elasticity29
Computational homogenization of higher‐order continua28
Hybrid time‐dependent reliability analysis under a mixture of random and interval uncertainties28
Physics‐Informed Neural Networks for Solving Parameterized Dual‐Domain Darcy–Brinkman Flows in Gradient Porous Mediums28
On sparse regression, Lp‐regularization, and automated model discovery27
Deep Learning‐Based Reduced‐Order Modeling of Darcy‐Flow Systems With Local Mass Conservation26
Elastoplastic damage model and numerical implementation of nano‐silica incorporated concrete26
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