Sampling Theory, Signal Processing, and Data Analysis

Aims & Scope

The journal "Sampling Theory, Signal Processing, and Data Analysis” is a continuation of the journal "Sampling Theory in Signal and Image Processing” and focuses on the mathematics relating to sampling theory, signal processing, data analysis, and associated recovery problems from partial or indirect information.

It aims at inducing interactions leading to cross-disciplinary advances.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.1

SJR (SCImago Journal Rank)

Year	Value
2024	0.573

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	21

Journal Rank

Year	Value
2024	10150

Journal Citation Indicator

Year	Value
2024	92

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Mathematics and Medicine, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Quantitative estimates for Durrmeyer-sampling series in Orlicz spaces

  Citation: 18

  Authors: Danilo, Michele, Gianluca

• $$L_2$$-norm sampling discretization and recovery of functions from RKHS with finite trace

  Citation: 18

  Authors: Moritz, Tino

• Neural collapse with unconstrained features

  Citation: 11

  Authors: Dustin G., Hans, Jianzong

• Graph Fourier transform based on singular value decomposition of the directed Laplacian

  Citation: 11

  Authors: Yang, Cheng, Qiyu

• Uniform error estimates for nonequispaced fast Fourier transforms

  Citation: 10

  Authors: Daniel, Manfred

• Inertial stochastic PALM and applications in machine learning

  Citation: 10

  Authors: Johannes, Gabriele

• Polynomial graph filters of multiple shifts and distributed implementation of inverse filtering

  Citation: 10

  Authors: Nazar, Cheng, Junzheng, Qiyu

• Supervised learning of sheared distributions using linearized optimal transport

  Citation: 10

  Authors: Varun, Harish, Alexander, Caroline

• A note on exponential Riesz bases

  Citation: 9

  Authors: Andrei, Dae Gwan

• Exact reconstruction of sparse non-harmonic signals from their Fourier coefficients

  Citation: 9

  Authors: Markus, Gerlind, Nadiia

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