IEEE INTERNET COMPUTING

Scope & Guideline

Advancing Knowledge in Digital Networks

Introduction

Welcome to the IEEE INTERNET COMPUTING information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of IEEE INTERNET COMPUTING, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN1089-7801
PublisherIEEE COMPUTER SOC
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 1997 to 2024
AbbreviationIEEE INTERNET COMPUT / IEEE Internet Comput.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1314

Aims and Scopes

The journal 'IEEE Internet Computing' focuses on the intersection of internet technologies and computing, exploring innovative solutions, frameworks, and applications that address current challenges in the digital landscape. Its primary aim is to advance knowledge in the field of internet computing and promote best practices in technology implementation.
  1. Data Economy and Market Dynamics:
    The journal frequently publishes research on data marketplaces, privacy, and trust management, exploring how data is exchanged and utilized in various sectors.
  2. Artificial Intelligence (AI) and Machine Learning:
    A significant focus is placed on AI and machine learning, particularly in the context of responsible AI governance, federated learning, and the development of trustworthy AI systems.
  3. Edge and Cloud Computing:
    Research on edge computing and cloud technologies is prevalent, with discussions on optimizing performance, enhancing security, and exploring the integration of these technologies with IoT.
  4. Digital Twin Technologies:
    The journal highlights the emerging field of digital twins, focusing on their applications across industries, including healthcare, manufacturing, and smart cities.
  5. 6G and Future Networking Technologies:
    There is a consistent emphasis on next-generation networks, particularly 6G technologies, exploring their potential applications and the challenges they pose.
  6. Cybersecurity and Privacy:
    Cybersecurity is a core area of research, with papers addressing issues such as privacy threats, data integrity, and ethical considerations in technology use.
  7. Sociotechnical Systems and Ethics:
    The journal examines the sociotechnical aspects of computing, emphasizing the ethical implications of technology deployment and the importance of accountability.
Recent publications in 'IEEE Internet Computing' indicate several trending and emerging themes that reflect the current priorities and future directions of research in internet computing.
  1. Trust and Accountability in AI:
    The importance of trust, accountability, and ethics in AI systems is gaining momentum, highlighting the need for frameworks that ensure responsible AI governance.
  2. Federated Learning and Privacy-Preserving Techniques:
    Federated learning is becoming increasingly relevant as researchers focus on privacy-preserving methods that enable collaborative learning without compromising user data.
  3. Digital Twin Applications Across Industries:
    The application of digital twin technologies is on the rise, with a growing body of work exploring their potential in diverse fields such as healthcare, smart cities, and manufacturing.
  4. 6G Technologies and Their Implications:
    With the upcoming rollout of 6G, research is intensifying around its implications for networking, including new architectures, applications, and challenges.
  5. Edge Computing Innovations:
    Innovations in edge computing are emerging, particularly in the context of IoT and real-time data processing, as demand for low-latency solutions grows.
  6. Cybersecurity in Complex Systems:
    The focus on cybersecurity is evolving, with an increasing emphasis on addressing security challenges in complex, interconnected systems, particularly in the context of IoT and smart environments.

Declining or Waning

While 'IEEE Internet Computing' continues to evolve, certain themes have shown a declining presence in recent publications. This can reflect shifts in research interests or the maturation of specific topics within the field.
  1. Traditional Cloud Computing Models:
    Research focusing solely on traditional cloud computing models has decreased as the community shifts towards more integrated approaches that combine cloud with edge and IoT technologies.
  2. Basic Data Mining Techniques:
    There is a noticeable decline in papers centered on basic data mining techniques without integration into broader frameworks or applications, as the field moves towards more complex and contextualized data analytics.
  3. General Internet of Things (IoT) Applications:
    While IoT remains a crucial area, the focus has shifted from generic applications to more specialized uses, particularly those involving security, privacy, and advanced data management.
  4. Static Security Frameworks:
    The emphasis on static security frameworks has waned, as researchers are increasingly interested in dynamic and adaptable security measures that address evolving threats.
  5. Legacy Networking Protocols:
    There is a decline in research related to legacy networking protocols, with a growing interest in innovative solutions that align with the demands of emerging technologies like 6G.

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