Calcolo

Papers
(The H4-Index of Calcolo is 9. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Finite volume scheme and renormalized solutions for nonlinear elliptic Neumann problem with $$L^1$$ data31
Adaptive finite element approximation of bilinear optimal control problem with fractional Laplacian21
A posteriori error estimates and adaptivity for the continuous Galerkin time-stepping method for nonlinear initial value problems16
Correction to: A Gauss–Newton method for mixed least squares-total least squares problems15
ConvStabNet: a CNN-based approach for the prediction of local stabilization parameter for SUPG scheme14
Anderson acceleration of the tensor relaxation Jacobi method for solving Sylvester tensor equations13
Numerical solution of the space-time fractional diffusion equation based on fractional reproducing kernel collocation method11
Perturbation theory and error analysis for the Cauchy formula11
Robust numerical schemes for time delayed singularly perturbed parabolic problems with discontinuous convection and source terms11
Numerical methods for the forward and backward problems of a time-space fractional diffusion equation9
A computational method for singularly perturbed reaction–diffusion type system of integro-differential equations with discontinuous source term9
Energy-norm and balanced-norm supercloseness error analysis of a finite volume method on Shishkin meshes for singularly perturbed reaction–diffusion problems9
High-order multistep Mittag–Leffler integrator for solving time-fractional diffusion-wave equation9
Anisotropic Raviart–Thomas interpolation error estimates using a new geometric parameter9
Robust Arrow–Hurwicz method for high–Rayleigh number Boussinesq flow9
On deflated CGW methods for solving nonsymmetric positive definite linear systems9
Implementation improvements and extensions of an ODE-based algorithm for structured low-rank approximation9
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