IEEE Open Journal of the Computer Society

Scope & Guideline

Leading the Charge in Scholarly Communication

Introduction

Delve into the academic richness of IEEE Open Journal of the Computer Society 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
ISSN-
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Support Open AccessNo
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AbbreviationIEEE OPEN J COMP SOC / IEEE Open J. Comput. Soc.
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
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Address445 HOES LANE, PISCATAWAY, NJ 08855-4141

Aims and Scopes

The IEEE Open Journal of the Computer Society aims to publish high-quality research that advances the field of computer science and engineering. The journal focuses on cutting-edge technologies, methodologies, and applications, encompassing a wide range of topics relevant to modern computing.
  1. Artificial Intelligence and Machine Learning:
    Research on AI and ML methodologies, including deep learning, federated learning, and their applications in various domains such as healthcare, security, and natural language processing.
  2. Blockchain Technology:
    Exploration of blockchain applications, security frameworks, and decentralized systems, particularly in the context of Web 3.0, the metaverse, and supply chain management.
  3. Internet of Things (IoT) and Cyber-Physical Systems:
    Studies focusing on the integration of IoT within various environments, addressing challenges related to security, data management, and system optimization.
  4. Computer Vision and Image Processing:
    Innovative techniques in image analysis, recognition, and processing, with applications ranging from medical imaging to augmented reality.
  5. Network Security and Privacy:
    Research addressing security protocols, privacy-preserving techniques, and the resilience of networks against various cyber threats.
  6. Human-Computer Interaction and Affective Computing:
    Investigations into the interaction between humans and computers, emphasizing emotional intelligence and user experience.
The IEEE Open Journal of the Computer Society has identified several trending and emerging themes that reflect the current interests and technological advancements in the field. These areas are gaining momentum and are likely to shape future research directions.
  1. Federated Learning and Privacy Preservation:
    As concerns over data privacy increase, federated learning has emerged as a crucial topic, allowing collaborative model training while keeping data decentralized and private.
  2. AI in Healthcare:
    The application of AI and ML techniques in healthcare, particularly for diagnostic purposes and patient management, has seen a surge in research, driven by the need for innovative solutions in medical technologies.
  3. Metaverse and Virtual Environments:
    Research focused on the metaverse, including its technical underpinnings, security frameworks, and user interaction dynamics, is rapidly growing, reflecting the rising interest in immersive digital experiences.
  4. Advanced Security Protocols for IoT:
    With the proliferation of IoT devices, there is an increasing emphasis on developing robust security protocols that address the unique vulnerabilities associated with interconnected systems.
  5. Quantum Computing and Blockchain Integration:
    Emerging studies are exploring the intersection of quantum computing and blockchain technology, focusing on enhancing security measures and computational efficiency in decentralized systems.

Declining or Waning

In the rapidly evolving landscape of computer science, certain themes within the IEEE Open Journal of the Computer Society have shown a decline in focus. This section highlights these waning areas, reflecting shifts in research interest and technological advancements.
  1. Traditional Software Development Methodologies:
    As the field shifts towards agile and DevOps practices, traditional methodologies in software development have received less attention, overshadowed by newer frameworks that emphasize flexibility and rapid iteration.
  2. Static Network Protocols:
    Research on static, traditional network protocols has diminished as dynamic and adaptive networking solutions gain prominence in addressing modern connectivity challenges.
  3. Basic Data Structures and Algorithms:
    While foundational knowledge remains vital, there is a noticeable reduction in publications focused solely on basic data structures and algorithms, as the community increasingly prioritizes application-driven research and advanced computational techniques.
  4. Legacy System Integration:
    The relevance of research on integrating legacy systems is waning, as organizations are progressively moving towards cloud-based solutions and microservices architectures, thereby reducing the need for legacy compatibility studies.

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