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Studies in Applied Mathematics : Impact Factor & More

eISSN: 1467-9590pISSN: 0022-2526

Key Metrics

CiteScore
4
Impact Factor
< 5
SNIP
1.47
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Topics Covered on Studies in Applied Mathematics

Studies in Applied Mathematics Journal Specifications

Indexed in the following public directories

  • Web of Science Web of Science
  • Scopus Scopus
  • Inspec Inspec
  • SJR SJR
Overview
Publisher WILEY
Language English
Frequency Bi-monthly
General Details
LanguageEnglish
FrequencyBi-monthly
Publication Start Year1921
Publisher URLVisit website
Website URLVisit website
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Recently Published Papers in Studies in Applied Mathematics

Conformable Logistic Dynamic Equations on Timescales
  • 1 Oct 2026
  • Studies in Applied Mathematics
Kinetic and Mean‐Field Modeling of Muscular Dystrophies
  • 1 Oct 2026
  • Studies in Applied Mathematics
Convergence to Traveling Waves to a Parabolic–Parabolic Chemotaxis System on the Half Space
  • 1 Oct 2026
  • Studies in Applied Mathematics
Issue Information‐TOC
  • 1 Oct 2026
  • Studies in Applied Mathematics
Homoclinic Quasiperiodic Orbits and Emergence of Strange Nonchaotic Attractors in a Discontinuous Piecewise Smooth Map
  • 1 Oct 2026
  • Studies in Applied Mathematics
IS‐PINN: A Fast and Efficient Training of Physics‐Informed Neural Networks Using Invariant Subspace Reductions for Solving Nonlinear Diffusion Equations
  • 1 Oct 2026
  • Studies in Applied Mathematics
Conformable Logistic Dynamic Equations on Timescales
  • 1 Oct 2026
  • Studies in Applied Mathematics
Kinetic and Mean‐Field Modeling of Muscular Dystrophies
  • 1 Oct 2026
  • Studies in Applied Mathematics
Convergence to Traveling Waves to a Parabolic–Parabolic Chemotaxis System on the Half Space
  • 1 Oct 2026
  • Studies in Applied Mathematics
Issue Information‐TOC
  • 1 Oct 2026
  • Studies in Applied Mathematics
Homoclinic Quasiperiodic Orbits and Emergence of Strange Nonchaotic Attractors in a Discontinuous Piecewise Smooth Map
  • 1 Oct 2026
  • Studies in Applied Mathematics
IS‐PINN: A Fast and Efficient Training of Physics‐Informed Neural Networks Using Invariant Subspace Reductions for Solving Nonlinear Diffusion Equations
  • 1 Oct 2026
  • Studies in Applied Mathematics

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