Journal of Mathematics in Industry

Scope & Guideline

Bridging Theory and Practice in Mathematics

Introduction

Delve into the academic richness of Journal of Mathematics in Industry 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
ISSN2190-5983
PublisherSPRINGER
Support Open AccessYes
CountryGermany
TypeJournal
Convergefrom 2011 to 2024
AbbreviationJ MATH IND / J. Math. Ind.
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressONE NEW YORK PLAZA, SUITE 4600 , NEW YORK, NY 10004, UNITED STATES

Aims and Scopes

The Journal of Mathematics in Industry focuses on the application of mathematical techniques and methodologies to solve real-world industrial problems. It emphasizes interdisciplinary approaches and the development of innovative mathematical models and algorithms that can enhance productivity and efficiency across various sectors.
  1. Mathematical Modeling:
    The journal consistently publishes research that involves the development and application of mathematical models to represent complex industrial processes, such as manufacturing, supply chain management, and bioengineering.
  2. Numerical Analysis and Methods:
    There is a strong emphasis on numerical techniques for solving differential equations, optimization problems, and other mathematical computations relevant to industry, showcasing methods like fractional calculus and variational methods.
  3. Graph Theory Applications:
    Research frequently explores applications of graph theory in industrial contexts, including network design, resource allocation, and optimization problems, highlighting the relevance of combinatorial structures in real-world scenarios.
  4. Interdisciplinary Approaches:
    The journal encourages interdisciplinary research that integrates mathematics with fields such as engineering, economics, and biology, reflecting the diverse applications of mathematical principles in solving industry-related challenges.
  5. Statistical and Probabilistic Models:
    The inclusion of statistical methods for risk assessment and management, particularly in fields like finance and insurance, indicates the journal's commitment to addressing uncertainties inherent in industrial operations.
The Journal of Mathematics in Industry is witnessing a rise in specific themes that reflect current industrial challenges and advancements in mathematical methodologies.
  1. Fractional Calculus Applications:
    Recent publications show a significant increase in the application of fractional calculus, which provides more accurate models for complex phenomena in various fields, including bioengineering and materials science.
  2. Optimization Techniques:
    There is a growing trend towards optimization research, particularly in manufacturing processes and resource management, as industries strive for efficiency and productivity.
  3. Interdisciplinary Research with Health Applications:
    Emerging themes include the use of mathematical models in health-related fields, such as epidemiology and bio-heat transfer, highlighting the journal's responsiveness to global health challenges like the COVID-19 pandemic.
  4. Advanced Numerical Methods:
    The rise in publications focusing on advanced numerical methods, such as those involving new iterative techniques and hybrid approaches, indicates a trend towards more complex problem-solving strategies in industrial applications.
  5. Dynamic Systems and Control Models:
    Research on dynamic systems and control models is becoming more prominent, reflecting the increasing complexity of industrial processes and the need for effective management strategies.

Declining or Waning

While the Journal of Mathematics in Industry has a robust range of topics, certain themes seem to be declining in frequency, suggesting a shift in research focus or changing industrial needs.
  1. Traditional Graph Theory:
    There has been a noticeable decrease in papers focused solely on classical graph theory without industrial applications, indicating a shift towards more applied and interdisciplinary research.
  2. Basic Statistical Methods:
    The frequency of publications solely addressing basic statistical methods has diminished, as more complex and integrated statistical models are favored, reflecting the need for advanced analytics in industry.
  3. Elementary Algebraic Techniques:
    Research that focuses exclusively on elementary algebraic methods has declined, showcasing a trend towards more sophisticated mathematical frameworks and applications.
  4. Deterministic Models without Fractional Calculus:
    There appears to be a waning interest in purely deterministic models, as the journal increasingly features fractional calculus and stochastic models that offer more realistic representations of industrial processes.

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