Results in Applied Mathematics

Scope & Guideline

Fostering Collaboration for Mathematical Excellence

Introduction

Welcome to the Results in Applied Mathematics information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of Results in Applied Mathematics, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN2590-0374
PublisherELSEVIER
Support Open AccessYes
CountryNetherlands
TypeJournal
Convergefrom 2019 to 2024
AbbreviationRESULTS APPL MATH / Results Appl. Math
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS

Aims and Scopes

Results in Applied Mathematics focuses on the development and application of mathematical methods to solve real-world problems across various scientific and engineering disciplines. The journal emphasizes innovative numerical techniques, mathematical modeling, and analytical approaches to tackle complex issues.
  1. Numerical Analysis and Computational Methods:
    The journal publishes research on numerical algorithms and computational techniques for solving differential equations, integral equations, and optimization problems, emphasizing accuracy, efficiency, and stability.
  2. Mathematical Modeling:
    Research that formulates and analyzes mathematical models representing real-world phenomena, including biological, physical, and engineering systems, is a core focus area.
  3. Applied Mathematics in Engineering and Science:
    The journal covers the application of mathematical methods in various engineering and scientific disciplines, addressing challenges in areas like fluid dynamics, material science, and environmental studies.
  4. Interdisciplinary Approaches:
    It promotes interdisciplinary research that combines mathematics with fields such as biology, finance, and physics, highlighting the role of mathematical modeling in understanding complex systems.
Results in Applied Mathematics has been progressively adapting to new challenges and technological advancements, leading to the emergence of several trending themes that are gaining traction within the journal.
  1. Machine Learning and Data-Driven Methods:
    There is a growing trend of integrating machine learning techniques into mathematical modeling and numerical analysis, highlighting the importance of data-driven approaches in solving complex problems.
  2. Fractional Differential Equations:
    Research on fractional calculus and its applications is on the rise, reflecting an increasing interest in fractional differential equations to model memory and non-local phenomena in various fields.
  3. Stochastic and Random Processes:
    The journal is witnessing a surge in studies related to stochastic processes and their applications, driven by the need to model uncertainty in systems across different disciplines.
  4. Multiscale Modeling:
    Emerging research focuses on multiscale modeling techniques that bridge various scales in physical systems, indicating a trend towards understanding complex interactions in diverse applications.

Declining or Waning

While Results in Applied Mathematics continues to thrive in numerous areas, certain themes have seen a notable decrease in publication frequency over the years, reflecting a shift in research priorities and interests.
  1. Traditional Analytical Methods:
    There has been a decline in papers focused solely on classical analytical solutions to differential equations, as the field increasingly favors numerical and computational methods.
  2. Basic Statistical Models:
    Research centered around basic statistical methodologies appears to be waning, as the journal shifts towards more complex, integrated mathematical models that incorporate advanced statistical techniques.
  3. Elementary Mathematical Techniques:
    The focus on elementary mathematical techniques has diminished, with more emphasis on sophisticated and novel approaches that address contemporary challenges in applied mathematics.

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