International Journal of Mathematical Engineering and Management Sciences

Scope & Guideline

Empowering Researchers with Open Access to Groundbreaking Insights.

Introduction

Immerse yourself in the scholarly insights of International Journal of Mathematical Engineering and Management Sciences 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
ISSN2455-7749
PublisherRAM ARTI PUBL
Support Open AccessYes
CountryIndia
TypeJournal
Convergefrom 2016 to 2024
AbbreviationINT J MATH ENG MANAG / Int. J. Math. Eng. Manag. Sci.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressJamnipur, Herbertpur, Dehradun, Uttarakhand 248001, INDIA

Aims and Scopes

The International Journal of Mathematical Engineering and Management Sciences aims to provide a platform for innovative research that integrates mathematical modeling, engineering principles, and management practices. The journal focuses on applying advanced mathematical techniques to solve real-world problems in various domains, including engineering, management, and technology.
  1. Mathematical Modeling and Analysis:
    The journal emphasizes the development and application of mathematical models to analyze complex systems and phenomena across various fields.
  2. Optimization Techniques:
    A core area of focus is the implementation of optimization methods to improve processes, resource allocation, and decision-making in engineering and management.
  3. Interdisciplinary Research:
    The journal encourages interdisciplinary approaches that combine mathematics, engineering, information technology, and management sciences to address contemporary challenges.
  4. Sustainable Development:
    Research that explores sustainable practices and technologies, particularly in supply chain management, energy systems, and environmental engineering, is prominently featured.
  5. Artificial Intelligence and Machine Learning Applications:
    The integration of AI and machine learning techniques in engineering and management problems is a significant theme, reflecting the journal's commitment to modern technological advancements.
Recent publications in the International Journal of Mathematical Engineering and Management Sciences have highlighted several emerging themes and trends that reflect the evolving nature of research in mathematical engineering and management.
  1. Blockchain Technology in Supply Chain Management:
    There is an increasing focus on the integration of blockchain technology within supply chains, showcasing its potential to enhance transparency, security, and efficiency.
  2. Artificial Intelligence and Data Analytics:
    The application of AI and data analytics is trending, particularly in areas such as predictive modeling, risk assessment, and decision support systems.
  3. Sustainable Practices and Circular Economy:
    Research emphasizing sustainability and circular economy principles is gaining attention, particularly in sectors like agriculture and manufacturing.
  4. Smart Technologies and IoT:
    The rise of smart technologies and IoT applications in various domains, including healthcare and supply chains, is becoming a significant theme in recent publications.
  5. Robustness and Resilience in Systems Engineering:
    Emerging studies are increasingly focusing on the robustness and resilience of systems, especially in the context of risk management and disaster recovery.

Declining or Waning

While the International Journal of Mathematical Engineering and Management Sciences has a diverse range of research themes, some areas appear to be declining in prominence as the focus of the journal evolves.
  1. Traditional Statistical Methods:
    There has been a noticeable decrease in the publication of papers relying solely on traditional statistical techniques, as more innovative and computational methods gain traction.
  2. Purely Theoretical Research:
    Research that does not apply mathematical theory to practical, real-world problems is becoming less frequent, indicating a shift towards more applied research.
  3. Single-Domain Studies:
    Papers that focus exclusively on narrow, single-domain issues without interdisciplinary collaboration are waning in favor of more comprehensive, cross-disciplinary studies.

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