Mathematical Methods in the Applied Sciences
Published by John Wiley & Sons
ISSN : 0170-4214 eISSN : 1099-1476
Abbreviation : Math. Method Appl. Sci.
Aims & Scope
Mathematical Methods in the Applied Sciences publishes papers dealing with new mathematical methods for the consideration of linear and non-linear, direct and inverse problems for physical relevant processes over time- and space- varying media under certain initial, boundary, transition conditions etc.
Papers dealing with biomathematical content, population dynamics and network problems are most welcome.
Mathematical Methods in the Applied Sciences is an interdisciplinary journal: therefore, all manuscripts must be written to be accessible to a broad scientific but mathematically advanced audience.
All papers must contain carefully written introduction and conclusion sections, which should include a clear exposition of the underlying scientific problem, a summary of the mathematical results and the tools used in deriving the results.
Furthermore, the scientific importance of the manuscript and its conclusions should be made clear.
Papers dealing with numerical processes or which contain only the application of well established methods will not be accepted.
Because of the broad scope of the journal, authors should minimize the use of technical jargon from their subfield in order to increase the accessibility of their paper and appeal to a wider readership.
If technical terms are necessary, authors should define them clearly so that the main ideas are understandable also to readers not working in the same subfield.
View Aims & ScopeMetrics & Ranking
Impact Factor
| Year | Value |
|---|---|
| 2025 | 1.8 |
| 2024 | 2.10 |
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 0.630 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q1 |
h-index
| Year | Value |
|---|---|
| 2024 | 87 |
Journal Rank
| Year | Value |
|---|---|
| 2024 | 9171 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 6284 |
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 and Mathematics, designed to support cutting-edge academic discovery.