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Journal of Applied Analysis - Walter de Gruyter GmbH | 2024 Impact Factor:0.6 | Cite Score:1.4 | Q4

Journal of Applied Analysis With Cite Score

Cite Score and Journal Rank of Journal of Applied Analysis

  • About: Journal of Applied Analysis is a scholarly journal dedicated to the field of applied analysis, covering a broad range of topics where theoretical analysis is applied to practical problems. The journal provides a platform for researchers and practitioners to share significant advancements and applications in applied mathematics and its related fields.
  • Objective: The primary objective of the Journal of Applied Analysis is to advance the application of analytical methods to solve real-world problems. The journal covers various areas of applied analysis, including differential equations, functional analysis, numerical analysis, optimization, and mathematical modeling. It aims to bridge the gap between theoretical analysis and practical applications by publishing research that demonstrates the effectiveness of analytical methods in diverse application domains.
  • Interdisciplinary Approach: The journal adopts an interdisciplinary approach by integrating research from applied mathematics, engineering, physics, computer science, and other related fields. This approach allows for the exploration of complex problems that require a combination of theoretical insights and practical solutions. Contributions that address the application of analytical techniques to engineering problems, scientific computations, and industrial processes are particularly encouraged.
  • Impact and Significance: The Journal of Applied Analysis has a significant impact on both the academic and professional communities involved in applied mathematics and its applications. The research published in the journal contributes to the development of new analytical methods, models, and techniques that can be used to address practical challenges in various fields. The journal serves as a valuable resource for researchers, practitioners, and policymakers seeking to apply advanced analytical tools to solve real-world problems.

  • Editor-in-Chief:  WÅ‚odzimierz Fechner

  • Scope: The Journal of Applied Analysis focuses on the application of mathematical analysis to solve real-world problems and advance scientific understanding in various fields. The journal covers a broad range of topics where mathematical analysis is used to address practical issues. Key areas include:
  • 1. Applied Mathematical Analysis: Research on the application of theoretical mathematical analysis techniques to practical problems in engineering, physics, economics, and other disciplines.
  • 2. Differential Equations: Studies on ordinary and partial differential equations and their applications in modeling and solving problems in science and engineering.
  • 3. Numerical Analysis: Techniques and algorithms for approximating solutions to mathematical problems, including numerical methods for differential equations, optimization, and computational simulations.
  • 4. Functional Analysis: Applications of functional analysis concepts, such as Banach and Hilbert spaces, in solving real-world problems in various fields.
  • 5. Variational Methods: Research on variational principles and methods, including applications to optimization, calculus of variations, and physical systems.
  • 6. Applied Probability and Statistics: Application of probability theory and statistical methods to solve problems in data analysis, risk assessment, and decision-making.
  • 7. Mathematical Modeling: Development and analysis of mathematical models to represent and solve problems in biology, economics, engineering, and other areas.
  • 8. Optimization: Techniques and algorithms for finding optimal solutions to complex problems in engineering, finance, logistics, and other fields.
  • 9. Computational Methods: Research on computational techniques for solving mathematical problems, including algorithm design and software development.
  • 10. Applied Dynamical Systems: Studies on the behavior of dynamical systems and their applications in modeling and analysis of complex systems.
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  14256908

    Electronic ISSN:   18696082

  • Abstracting and Indexing:  Scopus

  • Imapct Factor 2024:  0.6

  • Subject Area and Category:   Computer Science, Computational Theory and Mathematics, Decision Sciences, Statistics, Probability and Uncertainty, Mathematics, Applied Mathematics, Mathematical Physics

  • Publication Frequency:  

  • H Index:  18

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  

    Q4:  Applied Mathematics

  • Cite Score:  1.4

  • SNIP:  0.622

  • Journal Rank(SJR):  0.242