Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
Published by Royal Society Publishing
ISSN : 1364-5021 eISSN : 1471-2946
Abbreviation : Proc. R. Soc. Math. Phys. Eng. Sci.
Aims & Scope
Proceedings A publishes articles across the chemical, computational, Earth, engineering, mathematical, and physical sciences.
The articles published are high-quality, original, fundamental articles of interest to a wide range of scientists, and often have long citation half-lives.
As well as established disciplines, we encourage emerging and interdisciplinary areas.
View Aims & ScopeMetrics & Ranking
Impact Factor
| Year | Value |
|---|---|
| 2025 | 3 |
| 2024 | 2.90 |
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 0.777 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q1 |
h-index
| Year | Value |
|---|---|
| 2024 | 162 |
Journal Rank
| Year | Value |
|---|---|
| 2024 | 7057 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 2341 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Engineering, Mathematics and Physics and Astronomy, designed to support cutting-edge academic discovery.
Licensing & Copyright
This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.
Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.
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.
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The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
Citation: 18617
Authors: Norden E., Zheng, Steven R., Manli C., Hsing H., Quanan, Nai-Chyuan, Chi Chao, Henry H.
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A study of the characteristics of white noise using the empirical mode decomposition method
Citation: 1369
Authors: Zhaohua, Norden E.
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A confidence limit for the empirical mode decomposition and Hilbert spectral analysis
Citation: 961
Authors: Norden E, Man-Li C, Steven R, Samuel S.P, Wendong, Per, Kuang L
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Quasi–incompressible Cahn–Hilliard fluids and topological transitions
Citation: 763
Authors: J., L.