OOIR: Observatory of International Research

Papers

(The TQCC of Applied and Computational Harmonic Analysis is 6. 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.)

Article	Citations
Introduction to the Special Issue on Harmonic Analysis and Machine Learning	69
Kadec-type theorems for sampled group orbits	51
On the numerical evaluation of the prolate spheroidal wave functions of order zero	45
Convergence of sparse grid Gaussian convolution approximation for multi-dimensional periodic functions	37
A diffusion + wavelet-window method for recovery of super-resolution point-masses with application to single-molecule microscopy and beyond	35
Scale dependencies and self-similar models with wavelet scattering spectra	34
Spatiotemporal analysis using Riemannian composition of diffusion operators	32
Kernel conjugate gradient methods with random projections	30
Editorial Board	30
Duality for neural networks through Reproducing Kernel Banach Spaces	28
A note on spike localization for line spectrum estimation	27
Biorthogonal Greedy Algorithms in convex optimization	27
On a discrete transform of homogeneous decomposition spaces	26
AP-frames and stationary random processes	23
Estimates on learning rates for multi-penalty distribution regression	21
Geometric component analysis and its applications to data analysis	21
Dispersion, spreading and sparsity of Gabor wave packets for metaplectic and Schrödinger operators	20
Dilational symmetries of decomposition and coorbit spaces	20
Complete interpolating sequences for the Gaussian shift-invariant space	20
Generalization error of random feature and kernel methods: Hypercontractivity and kernel matrix concentration	19
Beurling dimension of spectra for a class of random convolutions on R<	19
On the evaluation of the eigendecomposition of the Airy integral operator	19
A stochastic sparse representation: n-best approximation to random signals and computation	19
Generalization error guaranteed auto-encoder-based nonlinear model reduction for operator learning	18
Unlimited sampling beyond modulo	18

Error estimate of the u-series method for molecular dynamics simulations	17
Reproducing kernel Hilbert space compactification of unitary evolution groups	16
Editorial Board	16
Irregular Gabor frames of Cauchy kernels	15
A simple approach for quantizing neural networks	14
Marcinkiewicz–Zygmund inequalities for scattered and random data on the q-sphere	14
Random sampling and reconstruction of concentrated signals in a reproducing kernel space	14
Eigenmatrix for unstructured sparse recovery	14
Ranking recovery from limited pairwise comparisons using low-rank matrix completion	13
Finite alphabet phase retrieval	13
Controlled learning of pointwise nonlinearities in neural-network-like architectures	13
Uniform recovery in infinite-dimensional compressed sensing and applications to structured binary sampling	12
On the number of faces and radii of cells induced by Gaussian spherical tessellations	12
Adaptive parameter selection for kernel ridge regression	12
n-Best kernel approximation in reproducing kernel Hilbert spaces	11
A fractal uncertainty principle for the short-time Fourier transform and Gabor multipliers	11
Gaussian random field approximation via Stein's method with applications to wide random neural networks	11
Editorial Board	11
On the relation between Fourier and Walsh–Rademacher spectra for random fields	10
Regularization of inverse problems by filtered diagonal frame decomposition	10
Stable parameterization of continuous and piecewise-linear functions	10
On the intermediate value property of spectra for a class of Moran spectral measures	10
Data-driven optimal shrinkage of singular values under high-dimensional noise with separable covariance structure with application	10
An efficient spatial discretization of spans of multivariate Chebyshev polynomials	10
Frames of translates for model sets	9
Solving phase retrieval with random initial guess is nearly as good as by spectral initialization	8
An unbounded operator theory approach to lower frame and Riesz-Fischer sequences	8
Synthesis-based time-scale transforms for non-stationary signals	8
On the accuracy of Prony's method for recovery of exponential sums with closely spaced exponents	8
Estimation under group actions: Recovering orbits from invariants	8
Dimension reduction, exact recovery, and error estimates for sparse reconstruction in phase space	8
Divergence-free quasi-interpolation	8
Editorial Board	8
A sufficient condition for mobile sampling in terms of surface density	8
Laplace-Beltrami operator on the orthogonal group in ambient (Euclidean) coordinates	7
Lower bounds on the low-distortion embedding dimension of submanifolds of 7
Spectral analysis of weighted Laplacians arising in data clustering	7
Tikhonov regularization for Gaussian empirical gain maximization in RKHS is consistent	7
Weighted variation spaces and approximation by shallow ReLU networks	7
A tighter generalization error bound for wide GCN based on loss landscape	7
Editorial Board	7
Optimal (α,d)-multi-completion of d-designs	7
Fundamental component enhancement via adaptive nonlinear activation functions	7
Constructive subsampling of finite frames with applications in optimal function recovery	7
Positive definite multi-kernels for scattered data interpolations	7
Algebraic compressed sensing	7
Linearized Wasserstein dimensionality reduction with approximation guarantees	6
Sparse signal recovery from phaseless measurements via hard thresholding pursuit	6
Generalization bounds for sparse random feature expansions	6
A one-bit, comparison-based gradient estimator	6

Frames by orbits of two operators that commute	6
Editorial Board	6
Spectral convergence of graph Laplacian and heat kernel reconstruction in L∞ from random samples	6
The springback penalty for robust signal recovery	6
Non-asymptotic bounds for discrete prolate spheroidal wave functions analogous with prolate spheroidal wave function bounds	6
Sparsification of the regularized magnetic Laplacian with multi-type spanning forests	6
The G-invariant graph Laplacian part II: Diffusion maps	6
A unified approach to synchronization problems over subgroups of the orthogonal group	6
Spectrality of generalized Sierpinski-type self-affine measures	6