MATHEMATICAL INEQUALITIES & APPLICATIONS

Scope & Guideline

Advancing Applications through Innovative Inequality Theories

Introduction

Immerse yourself in the scholarly insights of MATHEMATICAL INEQUALITIES & APPLICATIONS with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN1331-4343
PublisherELEMENT
Support Open AccessNo
CountryCroatia
TypeJournal
Convergefrom 1998 to 2024
AbbreviationMATH INEQUAL APPL / Math. Inequal. Appl.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressR AUSTRIJE 11, 10000 ZAGREB, CROATIA

Aims and Scopes

The journal 'Mathematical Inequalities & Applications' focuses primarily on the development and exploration of inequalities in various mathematical contexts. It encompasses a wide range of topics that bridge theoretical mathematics and practical applications, with an emphasis on the innovative use of inequalities across different mathematical disciplines.
  1. Inequalities in Functional Spaces:
    The journal frequently publishes research related to inequalities in functional spaces, particularly in Banach and Hilbert spaces, exploring the properties and applications of various inequalities within these frameworks.
  2. Operator Theory and Inequalities:
    A significant portion of the research revolves around operator theory, specifically examining inequalities related to boundedness, compactness, and spectral properties of linear operators.
  3. Applications of Inequalities:
    The journal emphasizes the practical applications of mathematical inequalities in areas such as probability, statistics, and various branches of analysis, demonstrating their relevance in real-world scenarios.
  4. Geometric Inequalities:
    There is a consistent focus on geometric inequalities, including those related to convex bodies and measures, highlighting the interplay between geometry and functional analysis.
  5. Inequalities in Probability and Statistics:
    The journal also explores inequalities that arise in probability theory and statistics, particularly those that involve expectations, variances, and other statistical measures.
  6. Multidimensional and Complex Variables:
    Research involving inequalities in multidimensional and complex variable contexts is prevalent, showcasing the depth of the journal's commitment to exploring inequalities across diverse mathematical landscapes.
Recent publications in 'Mathematical Inequalities & Applications' indicate several emerging themes that reflect current trends and the evolving landscape of mathematical research. These themes highlight the journal's responsiveness to new developments and interdisciplinary approaches.
  1. Inequalities in Nonlinear Analysis:
    There is a growing trend in exploring inequalities within the context of nonlinear analysis, reflecting an increasing interest in complex systems and their mathematical properties.
  2. Fractional and Variable Exponent Inequalities:
    Research focusing on fractional calculus and variable exponent spaces is on the rise, indicating a burgeoning interest in these advanced mathematical frameworks and their applications.
  3. Inequalities in Quantum and Statistical Mechanics:
    Emerging themes include inequalities relevant to quantum mechanics and statistical physics, illustrating a trend toward interdisciplinary research that connects mathematics with physics.
  4. Computational Inequalities:
    The journal is seeing an increase in papers that address computational methods for establishing or applying inequalities, reflecting the integration of numerical analysis with theoretical mathematics.
  5. Inequalities in Machine Learning and Data Science:
    There is a noticeable uptick in research that applies mathematical inequalities to machine learning and data science, highlighting the relevance of traditional mathematical concepts in modern computational fields.

Declining or Waning

While the journal has a broad scope, certain themes have shown a noticeable decline in recent years. These waning areas may reflect shifts in research focus or the evolving interests of the mathematical community.
  1. Classical Inequalities:
    There has been a decline in the number of papers focusing on classical inequalities, such as the Cauchy-Schwarz and Jensen inequalities, as the field increasingly seeks novel and complex inequalities.
  2. Elementary Inequalities:
    Research on elementary or straightforward inequalities appears to be less prevalent, as the journal's authors tend to concentrate on more sophisticated and nuanced inequality frameworks.
  3. Inequalities in Discrete Mathematics:
    The focus on inequalities specifically within discrete mathematics has waned, possibly due to the rising interest in continuous and functional approaches in recent publications.
  4. Inequalities without Applications:
    There has been a reduction in papers that present inequalities purely for theoretical interest without clear applications, as the journal increasingly values contributions that demonstrate practical relevance.

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