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 2021-05-01 to 2025-05-01.)

Article	Citations
Introduction to the Special Issue on Harmonic Analysis and Machine Learning	62
Kadec-type theorems for sampled group orbits	58
On the numerical evaluation of the prolate spheroidal wave functions of order zero	51
Convergence of sparse grid Gaussian convolution approximation for multi-dimensional periodic functions	43
Scale dependencies and self-similar models with wavelet scattering spectra	35
A diffusion + wavelet-window method for recovery of super-resolution point-masses with application to single-molecule microscopy and beyond	35
Editorial Board	30
Spatiotemporal analysis using Riemannian composition of diffusion operators	30
Editorial Board	28
Kernel conjugate gradient methods with random projections	28
On a discrete transform of homogeneous decomposition spaces	25
Unlimited sampling beyond modulo	24
Generalization error of random feature and kernel methods: Hypercontractivity and kernel matrix concentration	23
A stochastic sparse representation: n-best approximation to random signals and computation	23
Generalization error guaranteed auto-encoder-based nonlinear model reduction for operator learning	23
Reproducing kernel Hilbert space compactification of unitary evolution groups	22
Beurling dimension of spectra for a class of random convolutions on R<	21
AP-frames and stationary random processes	20
Estimates on learning rates for multi-penalty distribution regression	19
Geometric component analysis and its applications to data analysis	18
A note on spike localization for line spectrum estimation	18
Dispersion, spreading and sparsity of Gabor wave packets for metaplectic and Schrödinger operators	17
Dilational symmetries of decomposition and coorbit spaces	17
Complete interpolating sequences for the Gaussian shift-invariant space	17
Irregular Gabor frames of Cauchy kernels	16

Biorthogonal Greedy Algorithms in convex optimization	16
Finite alphabet phase retrieval	16
On the evaluation of the eigendecomposition of the Airy integral operator	16
A simple approach for quantizing neural networks	16
Editorial Board	16
Eigenmatrix for unstructured sparse recovery	15
Marcinkiewicz–Zygmund inequalities for scattered and random data on the q-sphere	15
Ranking recovery from limited pairwise comparisons using low-rank matrix completion	14
Functional penalised basis pursuit on spheres	14
Random sampling and reconstruction of concentrated signals in a reproducing kernel space	14
The Nyquist sampling rate for spiraling curves	14
On the number of faces and radii of cells induced by Gaussian spherical tessellations	13
Uniform recovery in infinite-dimensional compressed sensing and applications to structured binary sampling	13
n-Best kernel approximation in reproducing kernel Hilbert spaces	13
On the relation between Fourier and Walsh–Rademacher spectra for random fields	12
Adaptive parameter selection for kernel ridge regression	12
Stable parameterization of continuous and piecewise-linear functions	12
A fractal uncertainty principle for the short-time Fourier transform and Gabor multipliers	12
Gaussian random field approximation via Stein's method with applications to wide random neural networks	12
On the intermediate value property of spectra for a class of Moran spectral measures	11
Regularization of inverse problems by filtered diagonal frame decomposition	11
Data-driven optimal shrinkage of singular values under high-dimensional noise with separable covariance structure with application	10
On the accuracy of Prony's method for recovery of exponential sums with closely spaced exponents	10
Frames of translates for model sets	9
Divergence-free quasi-interpolation	9
An unbounded operator theory approach to lower frame and Riesz-Fischer sequences	9
A sufficient condition for mobile sampling in terms of surface density	9
Estimation under group actions: Recovering orbits from invariants	9
Solving phase retrieval with random initial guess is nearly as good as by spectral initialization	9
Phase retrieval for sub-Gaussian measurements	8
Spectral analysis of weighted Laplacians arising in data clustering	8
Synthesis-based time-scale transforms for non-stationary signals	8
Laplace-Beltrami operator on the orthogonal group in ambient (Euclidean) coordinates	8
Lower bounds on the low-distortion embedding dimension of submanifolds of 8
Editorial Board	8
Dimension reduction, exact recovery, and error estimates for sparse reconstruction in phase space	8
Weighted variation spaces and approximation by shallow ReLU networks	8
Constructive subsampling of finite frames with applications in optimal function recovery	7
Graph Fourier transform based on ℓ1 norm variation minimization	7
Editorial Board	7
Positive definite multi-kernels for scattered data interpolations	7
Fundamental component enhancement via adaptive nonlinear activation functions	7
The springback penalty for robust signal recovery	7
Tikhonov regularization for Gaussian empirical gain maximization in RKHS is consistent	6
Spectral convergence of graph Laplacian and heat kernel reconstruction in L∞ from random samples	6
Non-asymptotic bounds for discrete prolate spheroidal wave functions analogous with prolate spheroidal wave function bounds	6
Frames by orbits of two operators that commute	6
Algebraic compressed sensing	6
Spectrality of generalized Sierpinski-type self-affine measures	6
A one-bit, comparison-based gradient estimator	6

Maximum entropy models from phase harmonic covariances	6
A unified approach to synchronization problems over subgroups of the orthogonal group	6
Generalization bounds for sparse random feature expansions	6
Optimal (α,d)-multi-completion of d-designs	6
Orthogonal polynomials, biorthogonal polynomials and spline functions	6
Sparse signal recovery from phaseless measurements via hard thresholding pursuit	6