Applied and Computational Harmonic Analysis

Papers
(The H4-Index of Applied and Computational Harmonic Analysis is 19. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Introduction to the Special Issue on Harmonic Analysis and Machine Learning69
Kadec-type theorems for sampled group orbits51
On the numerical evaluation of the prolate spheroidal wave functions of order zero45
Convergence of sparse grid Gaussian convolution approximation for multi-dimensional periodic functions37
A diffusion + wavelet-window method for recovery of super-resolution point-masses with application to single-molecule microscopy and beyond35
Scale dependencies and self-similar models with wavelet scattering spectra34
Spatiotemporal analysis using Riemannian composition of diffusion operators32
Kernel conjugate gradient methods with random projections30
Editorial Board30
Duality for neural networks through Reproducing Kernel Banach Spaces28
A note on spike localization for line spectrum estimation27
Biorthogonal Greedy Algorithms in convex optimization27
On a discrete transform of homogeneous decomposition spaces26
AP-frames and stationary random processes23
Estimates on learning rates for multi-penalty distribution regression21
Geometric component analysis and its applications to data analysis21
Dilational symmetries of decomposition and coorbit spaces20
Complete interpolating sequences for the Gaussian shift-invariant space20
Dispersion, spreading and sparsity of Gabor wave packets for metaplectic and Schrödinger operators20
Beurling dimension of spectra for a class of random convolutions on R<19
On the evaluation of the eigendecomposition of the Airy integral operator19
A stochastic sparse representation: n-best approximation to random signals and computation19
Generalization error of random feature and kernel methods: Hypercontractivity and kernel matrix concentration19
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