JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

Scope & Guideline

Elevating Standards in Mathematical Research

Introduction

Welcome to your portal for understanding JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN0377-0427
PublisherELSEVIER
Support Open AccessNo
CountryNetherlands
TypeJournal
Convergefrom 1975 to 2025
AbbreviationJ COMPUT APPL MATH / J. Comput. Appl. Math.
Frequency24 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS

Aims and Scopes

The Journal of Computational and Applied Mathematics focuses on the intersection of computational methods and applied mathematics, emphasizing innovative numerical techniques, mathematical modeling, and their applications across various scientific and engineering disciplines.
  1. Numerical Methods and Algorithms:
    The journal publishes research on various numerical methods, including finite element methods, finite difference methods, and spectral methods, which are employed to solve partial differential equations and other complex mathematical problems.
  2. Mathematical Modeling:
    There is a strong emphasis on mathematical modeling in diverse fields such as fluid dynamics, epidemiology, and finance, showcasing how mathematical frameworks can be utilized to understand and predict real-world phenomena.
  3. Stochastic Processes and Control Theory:
    The journal features studies on stochastic processes, including stochastic differential equations and their applications in finance and risk management, highlighting control strategies and optimization techniques.
  4. Computational Techniques in Data Analysis:
    Research that integrates computational techniques with data analysis, including machine learning and statistical methods, is a key focus area, reflecting the growing importance of data-driven approaches in applied mathematics.
  5. Interdisciplinary Applications:
    The journal promotes interdisciplinary research, showcasing applications of computational and applied mathematics in fields such as material science, biology, and engineering.
The Journal of Computational and Applied Mathematics has witnessed several emerging themes that indicate a shift in research focus. The following points outline these trends.
  1. Machine Learning and AI in Mathematical Modeling:
    There is an increasing trend towards integrating machine learning and artificial intelligence techniques with traditional mathematical modeling, reflecting the growing influence of data science in applied mathematics.
  2. Fractional Calculus and Applications:
    Research on fractional calculus is gaining traction, with applications in various fields such as finance, control theory, and biomedical engineering, indicating a growing interest in the mathematical underpinnings of these models.
  3. Multiscale and Multiphysics Modeling:
    The rise in publications focusing on multiscale and multiphysics modeling showcases a trend towards addressing complex systems that exhibit behavior across different scales and physical phenomena.
  4. Stochastic Modeling in Epidemiology and Finance:
    There is a marked increase in research involving stochastic modeling techniques applied to epidemiological studies and financial risk management, highlighting the relevance of these approaches in current global challenges.
  5. Adaptive and Optimized Numerical Methods:
    Emerging trends in adaptive numerical methods and optimization techniques reveal a growing focus on enhancing the efficiency and accuracy of computational algorithms in solving complex mathematical problems.

Declining or Waning

While the journal continues to thrive in various areas, certain themes appear to be waning in prominence based on recent publications. The following points highlight these declining scopes.
  1. Purely Theoretical Mathematics:
    There has been a noticeable decline in the publication of papers focused solely on theoretical mathematics without practical applications, indicating a shift towards applied and computational approaches.
  2. Classical Numerical Analysis Techniques:
    Traditional numerical analysis methods are being overshadowed by more advanced techniques such as machine learning and hybrid methods, which are capturing more attention in recent submissions.
  3. Static Models in Finance:
    Research focused on static financial models is less frequent, with a growing preference for dynamic models that incorporate stochastic processes and real-time data.
  4. Deterministic Models in Complex Systems:
    The interest in purely deterministic models for complex systems has decreased, as more researchers are exploring stochastic and probabilistic models that better account for uncertainty.

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