Analysis and Applications

Aims & Scope

Analysis and Applications publishes high quality mathematical papers that treat those parts of analysis which have direct or potential applications to the physical and biological sciences and engineering.

Some of the topics from analysis include approximation theory, asymptotic analysis, calculus of variations, integral equations, integral transforms, ordinary and partial differential equations, delay differential equations, and perturbation methods.

The primary aim of the journal is to encourage the development of new techniques and results in applied analysis.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.4
2024	2.00

Journal Rank

Year	Value
2024	3857

Journal Citation Indicator

Year	Value
2024	286

SJR (SCImago Journal Rank)

Year	Value
2024	1.144

Quartile

Year	Value
2024	Q1

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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 Mathematics, 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.

• GLOBAL DISSIPATIVE SOLUTIONS OF THE CAMASSA–HOLM EQUATION

  Citation: 415

  Authors: ALBERTO, ADRIAN

• ANALYTIC REGULARITY AND POLYNOMIAL APPROXIMATION OF PARAMETRIC AND STOCHASTIC ELLIPTIC PDE'S

  Citation: 238

  Authors: ALBERT, RONALD, CHRISTOPH

• Deep vs. shallow networks: An approximation theory perspective

  Citation: 214

  Authors: H. N., T.

• ESTIMATING THE APPROXIMATION ERROR IN LEARNING THEORY

  Citation: 155

  Authors: STEVE, DING-XUAN

• VECTOR VALUED REPRODUCING KERNEL HILBERT SPACES OF INTEGRABLE FUNCTIONS AND MERCER THEOREM

  Citation: 127

  Authors: CLAUDIO, ERNESTO, ALESSANDRO

• Deep distributed convolutional neural networks: Universality

  Citation: 122

  Authors: Ding-Xuan

• Deep learning in high dimension: Neural network expression rates for generalized polynomial chaos expansions in UQ

  Citation: 109

  Authors: Christoph, Jakob

• ONLINE LEARNING WITH MARKOV SAMPLING

  Citation: 107

  Authors: STEVE, DING-XUAN

• Error bounds for approximations with deep ReLU neural networks in Ws,p norms

  Citation: 97

  Authors: Ingo, Gitta, Philipp

• INTERIOR ERROR ESTIMATE FOR PERIODIC HOMOGENIZATION

  Citation: 80

  Authors: GEORGES

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