International Journal of Computational Science and Engineering

Scope & Guideline

Pioneering Research in Computational Science and Engineering

Introduction

Explore the comprehensive scope of International Journal of Computational Science and Engineering through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore International Journal of Computational Science and Engineering in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN1742-7185
PublisherINDERSCIENCE ENTERPRISES LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 2005 to 2024
AbbreviationINT J COMPUT SCI ENG / Int. J. Comput. Sci. Eng.
Frequency8 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressWORLD TRADE CENTER BLDG, 29 ROUTE DE PRE-BOIS, CASE POSTALE 856, CH-1215 GENEVA, SWITZERLAND

Aims and Scopes

The International Journal of Computational Science and Engineering focuses on disseminating high-quality research that advances the understanding and application of computational science and engineering across various domains. The journal emphasizes innovative methodologies and interdisciplinary approaches, aiming to bridge theoretical concepts with practical implementations.
  1. Computational Modeling and Simulation:
    Research that involves developing, analyzing, and validating computational models and simulations to solve complex engineering problems.
  2. Machine Learning and Artificial Intelligence:
    Studies that explore novel algorithms, frameworks, and applications of machine learning and AI in various fields including healthcare, finance, and environmental science.
  3. Data Science and Big Data Analytics:
    Research focused on methodologies for managing, analyzing, and extracting insights from large datasets using advanced computational techniques.
  4. Network Security and Cryptography:
    Papers addressing issues related to cybersecurity, encryption methods, and secure data transmission in various computing environments.
  5. Cloud Computing and Edge Computing:
    Research on the development and optimization of cloud and edge computing architectures, including resource management and service provisioning.
  6. Optimization Techniques:
    Studies that apply mathematical and heuristic optimization methods to improve performance in engineering and computational tasks.
  7. Remote Sensing and Image Processing:
    Research related to the analysis and processing of remote sensing data and images, with applications in environmental monitoring and agriculture.
  8. Internet of Things (IoT) Applications:
    Exploration of IoT technologies and their applications in real-world scenarios, including smart cities, healthcare, and industrial automation.
The International Journal of Computational Science and Engineering has observed several emerging themes that reflect current trends in technology and research. These themes indicate the journal's responsiveness to the evolving landscape of computational science and engineering.
  1. Deep Learning Innovations:
    There has been a significant rise in studies focusing on advanced deep learning techniques, particularly in applications such as image recognition, medical diagnosis, and natural language processing.
  2. Quantum Computing Applications:
    Emerging research into quantum algorithms and their applications suggests a growing interest in harnessing quantum computing for solving complex computational problems.
  3. Sustainable Computing Solutions:
    Research addressing sustainability in computing, including energy-efficient algorithms and green computing practices, is gaining traction as environmental concerns become more prominent.
  4. Federated Learning and Privacy-Preserving Techniques:
    An increasing focus on federated learning and other privacy-preserving methodologies reflects the growing importance of data privacy and security in machine learning applications.
  5. Interdisciplinary Approaches:
    There is a noticeable trend towards interdisciplinary research that combines computational techniques with fields such as biology, social sciences, and economics, fostering innovative solutions to complex problems.

Declining or Waning

As the field of computational science and engineering evolves, certain themes have shown a decline in research focus over recent years. This section highlights these waning areas, indicating a possible shift in the journal's emphasis or the broader research landscape.
  1. Traditional Software Engineering Practices:
    There has been a noticeable decline in research centered around conventional software engineering methodologies, as the field shifts towards more agile, DevOps, and automated approaches.
  2. Basic Algorithm Development:
    Research focused on developing basic algorithms without substantial application or innovation has decreased, as there is a growing preference for applied and hybrid methodologies.
  3. Static Network Protocols:
    Research on static network protocols has waned, likely due to the increasing relevance of dynamic, adaptive networking solutions in modern computing environments.
  4. Purely Theoretical Computer Science:
    The focus on purely theoretical aspects of computer science is diminishing, with a growing emphasis on practical applications and interdisciplinary research.
  5. Single-Domain Research:
    Research papers that focus solely on one domain without interdisciplinary connections are becoming less frequent, as the trend moves towards integrated approaches that span multiple fields.

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