INTERNATIONAL JOURNAL OF MATHEMATICS AND MATHEMATICAL SCIENCES

Scope & Guideline

Pioneering insights in the world of mathematical sciences.

Introduction

Explore the comprehensive scope of INTERNATIONAL JOURNAL OF MATHEMATICS AND MATHEMATICAL SCIENCES through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore INTERNATIONAL JOURNAL OF MATHEMATICS AND MATHEMATICAL SCIENCES in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN0161-1712
PublisherHINDAWI LTD
Support Open AccessYes
CountryUnited States
TypeJournal
Convergefrom 1978 to 1996, from 2002 to 2024
AbbreviationINT J MATH MATH SCI / Int. J. Math. Math. Sci.
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressADAM HOUSE, 3RD FLR, 1 FITZROY SQ, LONDON W1T 5HF, ENGLAND

Aims and Scopes

The INTERNATIONAL JOURNAL OF MATHEMATICS AND MATHEMATICAL SCIENCES focuses on advancing the field of mathematics through rigorous research and innovative methodologies. It encompasses a broad spectrum of mathematical theories and applications, catering to both pure and applied mathematics disciplines.
  1. Pure Mathematics:
    Contributions in areas such as algebra, geometry, topology, and number theory, emphasizing theoretical frameworks and foundational aspects of mathematics.
  2. Applied Mathematics:
    Research that applies mathematical principles to solve real-world problems, including mathematical modeling, numerical analysis, and statistical methods across various fields.
  3. Mathematical Modeling:
    Development and analysis of mathematical models for phenomena in science, engineering, and social sciences, demonstrating the application of mathematics to understand complex systems.
  4. Statistical Analysis and Probability:
    Investigation and application of statistical methods, probability theory, and stochastic processes to analyze data and model uncertainty.
  5. Computational Mathematics:
    Focus on numerical methods, algorithms, and computational simulations to solve mathematical problems, particularly in applied contexts.
  6. Interdisciplinary Research:
    Integration of mathematical techniques with other disciplines such as biology, physics, finance, and engineering, showcasing the versatility and utility of mathematical approaches.
The journal has witnessed a dynamic evolution in its research themes, with several emerging trends that reflect contemporary issues and advancements in mathematics. These themes indicate a response to both academic and societal needs.
  1. COVID-19 Mathematical Modeling:
    A significant increase in publications focusing on mathematical modeling of COVID-19 and its implications demonstrates the journal's responsiveness to global health crises and the demand for quantitative analysis in epidemiology.
  2. Interdisciplinary Applications:
    There is a growing trend of interdisciplinary research that applies mathematical theories to diverse fields such as environmental science, finance, and public health, highlighting the increasing relevance of mathematics in solving complex societal issues.
  3. Advanced Numerical Methods:
    Research on sophisticated numerical methods for solving differential equations and optimization problems has gained traction, reflecting advancements in computational capabilities and the need for accurate simulations.
  4. Statistical Learning and Data Analysis:
    Emerging interest in statistical learning techniques and data analysis methods indicates a shift towards incorporating machine learning and AI in mathematical research, providing new tools for data interpretation.
  5. Nonlinear Dynamics and Chaos Theory:
    An increase in studies on nonlinear dynamics and chaos theory signifies a renewed interest in understanding complex systems and their unpredictable behaviors, relevant in various fields such as physics and economics.

Declining or Waning

While the journal continues to thrive in many areas, certain themes have shown a decline in recent publications. These waning scopes may reflect shifting interests in the mathematical community or a saturation of research in those areas.
  1. Classical Analysis Techniques:
    There appears to be a decrease in the publication of papers focused on classical analysis techniques, such as traditional calculus and elementary function theory, as more researchers gravitate towards advanced methodologies and applications.
  2. Basic Algebraic Structures:
    Research on fundamental algebraic structures, such as basic group theory or elementary ring theory, is becoming less prominent, possibly due to the emergence of more complex and abstract algebraic concepts.
  3. Static Mathematical Models:
    The focus on static models that do not incorporate dynamic elements or time-dependent variables has diminished, as there is a growing demand for models that can simulate changes and interactions over time.
  4. Traditional Statistical Methods:
    There is a noticeable decline in papers utilizing traditional statistical methods without innovation, as the field increasingly favors novel approaches and machine learning techniques.

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