Journal of Applied Mathematics & Informatics

Scope & Guideline

Advancing Computational Techniques for Real-World Applications.

Introduction

Welcome to your portal for understanding Journal of Applied Mathematics & Informatics, 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
ISSN2734-1194
PublisherKOREAN SOC COMPUTATIONAL & APPLIED MATHEMATICS-KSCAM
Support Open AccessNo
CountrySouth Korea
TypeJournal
Convergefrom 2019 to 2024
AbbreviationJ APPL MATH INFORM / J. Appl. Math. Inform.
Frequency3 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address60332, HANNAM UNIV, 70 HANNAM-RO, DAEDEOK-GU, DAEJEON 34430, SOUTH KOREA

Aims and Scopes

The Journal of Applied Mathematics & Informatics focuses on the intersection of mathematical theory and practical applications across various domains. It serves as a platform for disseminating innovative research that employs mathematical techniques to solve real-world problems, emphasizing both theoretical advancements and empirical methodologies.
  1. Applied Mathematics:
    The journal prioritizes research that applies mathematical theories and methodologies to solve practical problems in fields such as engineering, physics, biology, and economics.
  2. Informatics and Computational Methods:
    It covers studies that integrate computational techniques and algorithms to analyze data, model complex systems, and improve decision-making processes.
  3. Interdisciplinary Research:
    The journal encourages interdisciplinary approaches that combine mathematics with other scientific disciplines, fostering collaborations that lead to novel insights and applications.
  4. Graph Theory and Network Analysis:
    There is a consistent focus on graph theory, exploring its applications in network analysis, optimization problems, and combinatorial structures.
  5. Fuzzy Logic and Soft Computing:
    The journal publishes work related to fuzzy logic, soft computing, and their applications in decision-making and modeling uncertainty.
  6. Differential Equations:
    Research involving differential and integral equations, especially their applications in modeling dynamic systems, is a significant area of interest.
  7. Statistical Methods and Data Analysis:
    The journal includes studies that develop statistical methods for data analysis, particularly in the context of medical, environmental, and engineering data.
Recent publications in the Journal of Applied Mathematics & Informatics indicate several emerging themes and trends that reflect the evolving landscape of applied mathematics and informatics.
  1. Machine Learning and Data Science Applications:
    There is a significant increase in research applying machine learning techniques to solve complex problems, particularly in fields like medical imaging, data clustering, and epidemic modeling.
  2. Fractional Calculus and Differential Equations:
    An emerging focus on fractional calculus and its applications in modeling real-world phenomena has been observed, indicating a growing interest in more nuanced mathematical modeling techniques.
  3. Fuzzy and Intuitionistic Logic:
    The application of fuzzy logic and intuitionistic approaches in various domains, such as decision-making and optimization, is gaining traction, reflecting a need to handle uncertainty and imprecision.
  4. Numerical Methods and Computational Techniques:
    There is a rising trend in the development and application of numerical methods for solving complex mathematical problems, particularly in engineering and physical sciences.
  5. Epidemiological Modeling:
    Research related to mathematical modeling of infectious diseases has surged, particularly in response to global health challenges such as the COVID-19 pandemic.
  6. Optimization and Operations Research:
    Papers focusing on optimization techniques and operations research are increasingly prevalent, particularly in logistics, supply chain management, and resource allocation.

Declining or Waning

While the journal has seen growth in several areas of research, some themes appear to be declining in prominence. This shift may reflect changing research interests or the maturation of certain fields.
  1. Traditional Mathematical Theories:
    Research focusing solely on classical mathematical theories without practical applications is becoming less frequent, as there is a growing demand for applied and interdisciplinary studies.
  2. Pure Algebraic Structures:
    Papers centered solely on abstract algebraic structures, such as extensive studies on semigroups or rings, are diminishing in favor of more applied contexts or computational approaches.
  3. Static Mathematical Models:
    There is a noticeable decrease in publications related to static models that do not incorporate dynamic or time-dependent factors, reflecting a trend toward more dynamic systems modeling.
  4. Basic Statistical Theory:
    Research that primarily discusses foundational statistical theories without applications or advanced methodologies is less common, as the focus shifts toward applied statistics in various fields.

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