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ACM Transactions on Autonomous and Adaptive Systems | 2024 Impact Factor:2.1 | Cite Score:5.6 | Q2

ACM Transactions on Autonomous and Adaptive Systems Journal

Impact Factor and Journal Rank of ACM Transactions on Autonomous and Adaptive Systems

  • About: The ACM Transactions on Autonomous and Adaptive Systems (TAAS) provides a premier platform for researchers, practitioners, and academics to publish high-quality research articles, reviews, and application papers in the field of autonomous and adaptive systems. The journal focuses on innovative theories, methodologies, and technologies that enable systems to adapt to changing environments and requirements autonomously.
  • Objective:
    The primary objective of the ACM Transactions on Autonomous and Adaptive Systems is to serve as a leading publication venue for research that explores the theoretical foundations, design principles, and practical implementations of autonomous and adaptive systems. The journal covers a wide range of topics, including machine learning, robotics, self-organizing systems, adaptive algorithms, and artificial intelligence. By integrating theoretical insights with practical applications, the journal aims to advance the development of systems capable of independent operation and dynamic adaptation.
  • Interdisciplinary Approach:
    The ACM Transactions on Autonomous and Adaptive Systems promotes an interdisciplinary approach by encouraging contributions that bridge computer science, engineering, robotics, artificial intelligence, and related disciplines. The journal welcomes research that explores the intersection of autonomous and adaptive systems with areas such as distributed computing, human-computer interaction, cognitive science, and networked systems. By fostering collaborations across disciplines, the journal facilitates the dissemination of innovative research that addresses complex challenges and leverages autonomous and adaptive technologies to enhance system capabilities and performance.
  • Impact:
    The impact of the ACM Transactions on Autonomous and Adaptive Systems is significant in advancing both theoretical and practical aspects of autonomous and adaptive systems. By publishing rigorous research articles, reviews, and application papers, the journal contributes to the development of new adaptive algorithms, autonomous system architectures, and self-organizing techniques. Its publications inform the design of intelligent systems capable of learning, evolving, and responding to changes in their environment, thereby influencing advancements in various computational and engineering fields. The journals emphasis on high-quality research and practical relevance ensures its contributions support the continuous evolution and adoption of autonomous and adaptive system technologies.
  • Significance:
    The ACM Transactions on Autonomous and Adaptive Systems holds significant importance for researchers, educators, and practitioners interested in advancing the field of autonomous and adaptive systems. The journals contributions include theoretical advancements, practical applications, and critical analyses of autonomous and adaptive system techniques. By providing a platform for scholarly exchange and knowledge dissemination, the journal supports the development of innovative solutions that address real-world challenges in autonomy, adaptation, and system self-management. It fosters the continuous advancement of autonomous and adaptive system methodologies and technologies, facilitating the development of robust and intelligent systems that meet the demands of modern scientific, engineering, and industrial applications.

  • Editor-in-Chief:  Rami Bahsoon

  • Scope: The ACM Transactions on Autonomous and Adaptive Systems (TAAS) is a scholarly journal that focuses on research contributions advancing the understanding and development of autonomous and adaptive systems. Here is an overview of its scope and topics covered:
  • Autonomous Systems:
    Research on systems capable of performing tasks and making decisions independently, often in dynamic or uncertain environments. Topics include autonomous robots, autonomous vehicles, autonomous agents, and autonomous software systems.
  • Adaptive Systems:
    Studies on systems that can adapt their behavior, structure, or functionality in response to changes in their environment or user requirements. This includes adaptive algorithms, adaptive control systems, adaptive user interfaces, and adaptive software architectures.
  • Machine Learning and AI for Autonomous Systems:
    Research on the application of machine learning, artificial intelligence, and deep learning techniques to enhance the autonomy and adaptability of systems. Topics include reinforcement learning, neural networks, evolutionary algorithms, and their applications in autonomous and adaptive systems.
  • Self-Organization and Self-Management:
    Studies on systems that can self-organize and self-manage their components or resources without external intervention. This includes self-healing systems, self-configuring networks, self-optimizing algorithms, and self-aware computing systems.
  • Decision Support Systems:
    Research on systems that provide decision support through intelligent analysis and prediction. This includes decision-making algorithms, decision support frameworks, and their applications in autonomous and adaptive systems.
  • Human-Autonomy Interaction:
    Studies on the interaction between humans and autonomous systems. This includes user interface design, human factors in autonomous systems, trust in autonomous systems, and ethical considerations in human-autonomy interaction.
  • Multi-Agent Systems:
    Research on systems composed of multiple autonomous agents that interact to achieve common goals or solve complex problems. Topics include coordination algorithms, negotiation protocols, coalition formation, and applications in distributed autonomous systems.
  • Robustness and Resilience:
    Studies on ensuring the robustness and resilience of autonomous and adaptive systems against faults, failures, and adversarial attacks. This includes fault-tolerant algorithms, resilient architectures, and security mechanisms for autonomous systems.
  • Real-World Applications:
    Practical applications of autonomous and adaptive systems in various domains such as healthcare, transportation, smart cities, manufacturing, aerospace, and defense. Case studies and real-world implementations of autonomous and adaptive technologies.
  • Performance Evaluation and Metrics:
    Research on metrics, methodologies, and frameworks for evaluating the performance, effectiveness, and efficiency of autonomous and adaptive systems. This includes simulation techniques, benchmarking studies, and performance analysis tools.
  • Ethical and Societal Implications:
    Studies on the ethical considerations and societal impacts of autonomous and adaptive systems. This includes privacy concerns, legal frameworks, ethical guidelines, and the broader implications of autonomous technologies on society.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  1556-4665

    Electronic ISSN:  1556-4703

  • Abstracting and Indexing:  Science Citation Index Expanded, Scopus.

  • Imapct Factor 2024:  2.1

  • Subject Area and Category:  Computer Science,Software,Engineering

  • Publication Frequency:  Quarterly

  • H Index:  47

  • Best Quartile:

    Q1:  

    Q2:  Computer Science (miscellaneous)

    Q3:  

    Q4:  

  • Cite Score:  5.6

  • SNIP:  1.039

  • Journal Rank(SJR):  0.416