JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING

Scope & Guideline

Pioneering Research in Computing and Engineering Disciplines

Introduction

Welcome to your portal for understanding JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING, 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
ISSN1530-9827
PublisherASME
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 2001 to 2024
AbbreviationJ COMPUT INF SCI ENG / J. Comput. Inf. Sci. Eng.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressTWO PARK AVE, NEW YORK, NY 10016-5990

Aims and Scopes

The Journal of Computing and Information Science in Engineering focuses on the intersection of computing technologies and engineering disciplines. It aims to disseminate innovative research that enhances the understanding and application of computational methods in various engineering fields.
  1. Computational Methods and Algorithms:
    The journal emphasizes the development and application of computational algorithms for solving complex engineering problems, including optimization, simulation, and modeling.
  2. Data-Driven Engineering:
    There is a strong focus on data-driven approaches, including machine learning and artificial intelligence, to enhance design, manufacturing, and operational processes in engineering.
  3. Cyber-Physical Systems and Digital Twins:
    Research on the integration of physical systems with digital representations (digital twins) is a core area, showcasing advancements in real-time monitoring and predictive maintenance.
  4. Robotics and Automation:
    The journal covers advancements in robotics, including robotic design, control, and applications in manufacturing and other engineering contexts.
  5. Additive Manufacturing and Material Science:
    Research related to additive manufacturing techniques and their implications on material properties and engineering design is prominently featured.
  6. Human-Computer Interaction and Augmented Reality:
    The journal explores the interface between humans and machines, particularly in augmented reality applications for engineering and design.
The journal reflects dynamic trends in engineering research, with certain themes emerging as increasingly significant in recent publications. These themes indicate the evolving landscape of engineering challenges and solutions.
  1. Artificial Intelligence and Machine Learning:
    There is a marked increase in the application of AI and ML techniques across various engineering domains, signaling a trend towards smarter, more automated solutions.
  2. Sustainable Engineering Practices:
    Research focusing on sustainability, including low-carbon manufacturing and environmentally friendly design, is gaining traction as industries seek to minimize their ecological footprints.
  3. Advanced Simulation Techniques:
    Emerging methodologies in simulation, particularly those leveraging digital twins and virtual environments, are becoming more prominent, reflecting the need for real-time data and predictive capabilities.
  4. Interdisciplinary Research Approaches:
    There is a growing trend towards interdisciplinary studies that combine insights from computer science, engineering, and social sciences to address complex engineering challenges.
  5. Robotics in Human Environments:
    The integration of robotics in everyday human environments, particularly in healthcare and personal assistance, is an emerging focus area, indicating a shift towards human-centric robotic applications.

Declining or Waning

While the journal continues to publish a wide range of topics, certain themes have shown a decline in prominence over recent years. This may reflect shifts in research focus or the maturation of certain technologies.
  1. Traditional Manufacturing Techniques:
    There appears to be a decreasing emphasis on conventional manufacturing processes, as newer technologies such as additive manufacturing gain more attention.
  2. Basic Theoretical Studies:
    Research that focuses solely on theoretical frameworks without practical applications seems to be less frequent, indicating a trend towards applied research.
  3. Hardware-Heavy Approaches:
    Research that heavily relies on physical hardware setups is waning, with a noticeable shift towards simulation-based studies and virtual implementations.

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