ACM COMPUTING SURVEYS

Scope & Guideline

Elevating Understanding in Computer Science

Introduction

Immerse yourself in the scholarly insights of ACM COMPUTING SURVEYS 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
ISSN0360-0300
PublisherASSOC COMPUTING MACHINERY
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 1969 to 2024
AbbreviationACM COMPUT SURV / ACM Comput. Surv.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address1601 Broadway, 10th Floor, NEW YORK, NY 10019-7434

Aims and Scopes

ACM Computing Surveys (CSUR) aims to provide comprehensive and systematic overviews of the current state of research in computing and information technology. The journal serves as a platform for high-quality surveys that cover a broad spectrum of topics, methodologies, and technologies, reflecting the latest advancements and future directions in the field.
  1. Comprehensive Surveys:
    The journal publishes extensive surveys that synthesize and analyze significant research areas, offering insights into the methodologies, challenges, and future research directions.
  2. Interdisciplinary Research:
    ACM CSUR encourages submissions that span across various disciplines within computing, integrating insights from areas such as artificial intelligence, cybersecurity, software engineering, and data science.
  3. Emerging Technologies:
    The journal focuses on emerging technologies and trends, providing critical evaluations and discussions on their potential impacts and applications.
  4. Methodological Rigor:
    Papers published in ACM CSUR are expected to demonstrate methodological rigor, ensuring that the surveys are not only informative but also grounded in established research practices.
  5. Community Engagement:
    The journal aims to facilitate discourse within the research community by highlighting ongoing debates, proposing future research trajectories, and addressing gaps in existing literature.
Recent publications in ACM Computing Surveys indicate a dynamic shift towards several trending and emerging research areas, reflecting the evolving landscape of computing and technology.
  1. Artificial Intelligence and Machine Learning:
    There is a significant increase in surveys regarding AI and machine learning applications across various domains, highlighting their transformative impact on industries and research.
  2. Cybersecurity and Privacy:
    The growing concern over data breaches and cyber threats has led to a surge in publications focusing on cybersecurity measures, privacy-preserving technologies, and resilience against attacks.
  3. Edge Computing and IoT:
    Research on edge computing and the Internet of Things (IoT) is gaining momentum, driven by advancements in distributed computing and the need for real-time processing.
  4. Blockchain and Decentralization:
    Emerging trends in blockchain technology, particularly in its applications beyond cryptocurrency, are increasingly covered, reflecting its potential in various sectors.
  5. Explainable AI and Fairness:
    With the rise of AI applications, there is an expanding focus on explainability, interpretability, and fairness in machine learning algorithms to ensure ethical and transparent practices.

Declining or Waning

While ACM Computing Surveys has a robust tradition of covering a wide array of topics, certain areas have shown a decline in publication frequency. This shift may reflect changing research interests or the maturation of specific fields.
  1. Traditional Software Engineering Practices:
    There has been a noticeable decrease in surveys focusing on conventional software engineering practices, possibly due to the shift towards more agile and DevOps methodologies.
  2. Legacy Systems and Technologies:
    Research related to legacy systems is becoming less prominent as newer technologies and systems architecture gain traction in both academic and industrial contexts.
  3. Static Analysis Tools:
    Surveys on static analysis tools have seen a decline, which may indicate a shift towards more dynamic, real-time analysis methods in software development.
  4. Hardware-Centric Research:
    There is a waning interest in traditional hardware-centric research topics as the focus shifts increasingly towards software-defined solutions and cloud-based architectures.

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