Sampling Theory, Signal Processing, and Data Analysis
Springer International Publishing · Switzerland · Est. 2007
✓ Indexed in the Web of Science Core Collection (ESCI) — Clarivate publishes an official Journal Impact Factor and JCR quartile for this journal.
See the official Impact Factor & quartile on the journal’s page ↗The Impact Factor & JCR quartile are licensed by Clarivate — we link you to the official source instead of reprinting a number that can go out of date. Open metrics below: SCImago Q2. Source: Clarivate Journal Citation Reports.
Aims & Scope
Sampling Theory, Signal Processing, and Data Analysis (SaSiDa) is a journal focusing on the mathematical aspects of sampling theory, signal processing, and data analysis. Welcomes papers on the mathematics of data science and machine learning. Encourages cross-disciplinary advances and interactions. Publishes high-quality research papers, survey articles, and seminal theoretical papers. Covers a wide range of topics from traditional Fourier analytic methods to cutting-edge techniques like Compressive Sensing, Atomic Decomposition, and Deep Learning.
General Information
Submission Info
Ethics & Quality
Think.Check.Submit Compliance
A twelfth criterion — whether APC fees are clearly disclosed — is not scored here; it is left out of the total rather than counted as a failure. Publication charges appear in the metrics card above.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Source: OpenAlex · Each year’s green bar = citations earned by that year’s papers, counted to date — so recent years look lower simply because their papers haven’t had time to be cited yet.
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Subject Classification
Web of Science Categories
Scopus Categories
Research Topics (OpenAlex)
Frequently asked questions about Sampling Theory, Signal Processing, and Data Analysis
Is Sampling Theory, Signal Processing, and Data Analysis a predatory journal?
PubScope has no integrity flags on record for Sampling Theory, Signal Processing, and Data Analysis: it is indexed in Web of Science, Scopus, and is not on DOAJ's withdrawn list. Indexing is a transparency signal, not a guarantee — always confirm fit and policies before submitting.
What is the impact factor of Sampling Theory, Signal Processing, and Data Analysis?
Sampling Theory, Signal Processing, and Data Analysis is indexed in the Web of Science Core Collection, so Clarivate publishes an official Journal Impact Factor for it (since the 2023 Journal Citation Reports, every Core Collection journal — including Arts & Humanities and Emerging Sources titles — receives one). PubScope links to Clarivate's official source rather than reprinting the number, which can be out of date. Its open 2-year mean citedness is 0.89.
Is Sampling Theory, Signal Processing, and Data Analysis indexed in Scopus and Web of Science?
Sampling Theory, Signal Processing, and Data Analysis is indexed in Web of Science, Scopus.
What is the aims and scope of Sampling Theory, Signal Processing, and Data Analysis?
Sampling Theory, Signal Processing, and Data Analysis (SaSiDa) is a journal focusing on the mathematical aspects of sampling theory, signal processing, and data analysis. Welcomes papers on the mathematics of data science and machine learning. Encourages cross-disciplinary advances and interactions. Publishes high-quality research papers, survey articles, and seminal theoretical papers. Covers a wide range of topics from traditional Fourier analytic methods to cutting-edge techniques like Compressive Sensing, Atomic Decomposition, and Deep Learning.
You May Also Like
See all →Data updated: 2026-05-22 · Sources: SJR, DOAJ, OpenAlex, WoS, Crossref