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ACM Transactions on Computational Logic | 2024 Impact Factor:0.9 | Cite Score:2.4 | Q2

ACM Transactions on Computational Logic Journal

Impact Factor and Journal Rank of ACM Transactions on Computational Logic

  • About: ACM Transactions on Computational Logic (TOCL) is a scholarly journal that focuses on advancing the theoretical foundations and practical applications of computational logic. It provides a platform for researchers, practitioners, and educators to publish original research articles, survey papers, and reviews related to logical aspects of computing.
  • Objective:
    The primary objective of TOCL is to promote research and development in computational logic. The journal aims to contribute to the understanding of logical methods, formal systems, automated reasoning, and their applications in computer science and related fields.
  • Interdisciplinary Approach:
    TOCL encourages an interdisciplinary approach, welcoming contributions that integrate computational logic with areas such as artificial intelligence, database theory, software engineering, and formal methods. This interdisciplinary collaboration fosters innovation and explores new avenues for logical research.
  • Impact:
    The impact of TOCL lies in its contributions to advancing the state-of-the-art in computational logic. By publishing rigorous research and practical applications, the journal influences the development of logical frameworks, reasoning techniques, and formal verification methods used in computer systems.
  • Significance:
    For researchers and practitioners in computer science and related disciplines, TOCL serves as a critical resource for staying updated on foundational and applied research in computational logic. Its publications provide insights into new logical paradigms, algorithmic approaches, and practical implementations that drive advancements in computing and information technology.

  • Editor-in-Chief:  Anuj Dawar

  • Scope: The ACM Transactions on Computational Logic (TOCL) journal focuses on research in all areas of computational logic. Here is an overview of its scope and the topics covered:
  • Formal Methods:
    Research on the formal specification, verification, and validation of software and hardware systems. This includes studies on formal semantics, formal verification techniques (model checking, theorem proving), and applications of formal methods in software engineering and hardware design.
  • Automated Reasoning:
    Research on automated reasoning techniques and algorithms. This includes studies on theorem proving, SAT solving, SMT solving, constraint satisfaction, logical frameworks, and decision procedures for various logics.
  • Logic Programming:
    Research on logic programming languages, semantics, and applications. This includes studies on Prolog, constraint logic programming, answer set programming, and deductive databases.
  • Knowledge Representation and Reasoning:
    Research on formal models and frameworks for representing and reasoning about knowledge. This includes studies on ontologies, semantic web technologies, description logics, non-monotonic reasoning, reasoning about actions and change, and commonsense reasoning.
  • Constraint Programming:
    Research on constraint satisfaction and optimization problems. This includes studies on constraint propagation algorithms, constraint-based scheduling, combinatorial optimization, and applications of constraint programming in real-world domains.
  • Temporal and Spatial Reasoning:
    Research on reasoning about time and space in computational systems. This includes studies on temporal logics, spatial logics, qualitative spatial reasoning, spatio-temporal databases, and applications in geographic information systems (GIS) and robotics.
  • Model Theory and Proof Theory:
    Research on the theoretical foundations of logic and proof. This includes studies on model theory, proof complexity, proof theory, constructive mathematics, and applications of model theory in algebra and computer science.
  • Concurrency and Parallelism:
    Research on logical and computational models for concurrent and parallel systems. This includes studies on process calculi, concurrent programming languages, distributed algorithms, and verification of concurrent and distributed systems.
  • Logics for Artificial Intelligence:
    Research on logics and formal methods applied to artificial intelligence. This includes studies on knowledge representation, reasoning under uncertainty, belief revision, multi-agent systems, game theory, and applications of AI in various domains.
  • Verification and Validation:
    Research on techniques for verifying and validating software and hardware systems. This includes studies on formal verification, software testing, debugging techniques, runtime verification, and quality assurance methodologies.
  • Applications of Computational Logic:
    Research on practical applications of computational logic in diverse domains. This includes studies on cyber-physical systems, healthcare informatics, autonomous systems, intelligent robotics, natural language processing, and other interdisciplinary applications.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  1529-3785

    Electronic ISSN:  1557-945X

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

  • Imapct Factor 2024:  0.9

  • Subject Area and Category:  Computer Science,Computational Mathematics,Theoretical Computer Science

  • Publication Frequency:  Quarterly

  • H Index:  54

  • Best Quartile:

    Q1:  

    Q2:  Computer Science (miscellaneous)

    Q3:  

    Q4:  

  • Cite Score:  2.4

  • SNIP:  1.050

  • Journal Rank(SJR):  0.602