Bulletin of Computational Applied Mathematics

Scope & Guideline

Bridging Theory and Application in Mathematics

Introduction

Delve into the academic richness of Bulletin of Computational Applied Mathematics with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN2244-8659
PublisherUNIV SIMON BOLIVAR
Support Open AccessNo
CountryVenezuela
TypeJournal
Convergefrom 2017 to 2023
AbbreviationBULL COMPUT APPL MAT / Bull. Comput. Appl. Math.
Frequency2 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressDPTO CIENCIA MATERIALES, EDF MECANICA & MATERIALES, 2DO PISO UNIV SIMON BOLIVAR, SARTENEJAS, BARUTA, CARACAS 1080-A, VENEZUELA

Aims and Scopes

The Bulletin of Computational Applied Mathematics focuses on a diverse range of mathematical theories and computational methods, particularly those applicable to real-world problems. The journal serves as a platform for the dissemination of innovative research in applied mathematics, computational techniques, and their interdisciplinary applications.
  1. Applied Mathematics and Computational Techniques:
    The journal emphasizes the development and application of computational methods in solving complex mathematical problems, particularly in engineering and natural sciences.
  2. Differential Equations and Boundary Value Problems:
    A significant focus is placed on the analysis and numerical solutions of differential equations, including both ordinary and partial differential equations, especially in boundary value problems.
  3. Statistical and Data Analysis:
    Research involving statistical methodologies and data analysis techniques is prevalent, with applications in various fields such as epidemiology, social sciences, and engineering.
  4. Emerging Areas in Mathematical Research:
    The journal also covers emerging mathematical theories such as neutrosophic logic, fractional calculus, and their applications in modeling complex systems.
  5. Interdisciplinary Applications:
    There is a consistent exploration of interdisciplinary applications of mathematics, particularly in urban studies, biology (predator-prey models), and physics (Klein-Gordon equations).
Recent publications indicate a shift towards innovative themes and methodologies that reflect current trends in computational applied mathematics, showcasing the journal's responsiveness to emerging research areas.
  1. Artificial Intelligence and Data Visualization:
    There is an increasing interest in integrating artificial intelligence with data visualization techniques, particularly in urban mobility studies, highlighting the relevance of computational methods in understanding complex datasets.
  2. Fractional Calculus and Neutrosophic Logic:
    Emerging concepts such as fractional calculus and neutrosophic logic are gaining traction, indicating a trend towards exploring new mathematical frameworks for modeling uncertainty and complexity.
  3. Numerical Methods for Complex Systems:
    The trend shows a rising focus on developing and analyzing numerical methods tailored for complex systems, including singularly perturbed problems and nonlinear equations.
  4. Modeling with Delay Differential Equations:
    Research involving delay differential equations is increasing, particularly in biological models, which reflects a growing recognition of the importance of time delays in dynamic systems.
  5. Interdisciplinary Applications in Urban Studies:
    The journal is increasingly publishing work that applies mathematical methods to urban studies, reflecting a trend towards addressing societal challenges through applied mathematics.

Declining or Waning

While the journal has a broad scope, certain themes appear to be declining in prominence over recent years, reflecting shifts in research interests and methodologies within the field.
  1. Classical Statistical Methods:
    There is a noticeable reduction in publications focusing on traditional statistical methods, potentially due to the rise of more advanced computational techniques and machine learning approaches.
  2. Basic Algebraic Structures:
    Research centered on fundamental algebraic concepts, such as basic fixed point theorems and elementary algebraic functions, seems to be less frequent, overshadowed by more complex and applied mathematical inquiries.
  3. Purely Theoretical Mathematics:
    The journal appears to be moving away from purely theoretical mathematical explorations, favoring studies with practical applications or computational aspects.
  4. Descriptive Epidemiology Studies:
    While some epidemiological studies were published during the COVID-19 pandemic, the focus on descriptive analysis without advanced modeling or predictive analytics is waning.

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