SCIESCOPUSQ2
Partial Differential Equations and Applications
SPRINGERNATURE, Switzerland
Partial Differential Equations and Applications is an academic journal published by SPRINGERNATURE (Switzerland). Identifiers: ISSN 2662-2963, eISSN 2662-2971. Indexed in SCIE, SCOPUS. Metrics: JIF 1.6, CiteScore 1.8, SJR 0.531, SNIP 0.76. tlooto lists 454 papers from this journal.
CiteScore
1.80
Scopus citation metric
SJR
0.531
SCImago rank
SNIP
0.76
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- 2662-2963
- eISSN
- 2662-2971
- Abbreviation
- PART DIFFER EQU APPL
- Publisher
- SPRINGERNATURE
- Country
- Switzerland
Web of Science categories
No Web of Science category data available.
Scopus ASJC categories
2603 Analysis2604 Applied Mathematics2605 Computational Mathematics2612 Numerical Analysis
Papers in this journal
Recent papers
- Convergence result for the short pulse equation
2026
- Multiple solutions for Schrödinger–Poisson–Slater equations with critical growth
2026
- Stability of standing waves for all frequencies to nonlinear Schrödinger equations with potentials in one dimension
2026
- Some inequalities on Laplacian eigenvalues with Neumann type boundary data for planar disk and annulus
2026
- Gagliardo–Nirenberg type inequality for log-concave functions and its application to nonlinear elliptic eigenvalue problems
2026
Most cited papers
- Solving high-dimensional Hamilton–Jacobi–Bellman PDEs using neural networks: perspectives from the theory of controlled diffusions and measures on path space
2020 · 156 citations
- Multilevel Picard iterations for solving smooth semilinear parabolic heat equations
2016 · 95 citations
- Deep neural network approximations for solutions of PDEs based on Monte Carlo algorithms
2019 · 35 citations
- Deep learning schemes for parabolic nonlocal integro-differential equations
2021 · 31 citations
- Higher-order error estimates for physics-informed neural networks approximating the primitive equations
2022 · 22 citations