Information and Computation - Elsevier

Information and Computation - Elsevier | 2024 Impact Factor:1.0 | Cite Score:2.2 | Q2

Impact Factor and Journal Rank of Information and Computation

About: Information and Computation is dedicated to the study of foundational aspects of computer science and information processing. It publishes research articles, surveys, and reviews that explore theoretical advances in algorithms, complexity theory, cryptography, logic, semantics, formal methods, and related disciplines within computer science.
Objectives
The journal aims to:
Provide a platform for disseminating high-quality research in theoretical computer science.
Foster discussions and collaborations among researchers working on foundational aspects of computing.
Promote rigorous analysis and exploration of fundamental questions and methodologies in computer science.
Interdisciplinary Approaches
Information and Computation welcomes interdisciplinary contributions that intersect with theoretical computer science, including:
Mathematical Logic: Contributions that apply logical reasoning to the foundations of computation.
Algorithmic Theory: Research that advances the understanding of algorithm design and analysis.
Computational Complexity: Studies investigating the inherent difficulty of computational problems.
Formal Methods: Approaches to specifying, verifying, and reasoning about software and hardware systems.
Impact and Significance
The journals impact is underscored by its:
Role in shaping theoretical foundations that underpin modern computing technologies.
Contribution to advancing mathematical and logical frameworks essential for understanding computation.
Influence on the development of algorithms, computational models, and methods used in various applications.
Global reach, serving as a vital resource for researchers, educators, and practitioners in theoretical computer science.

Journal Home: Journal Homepage

Editor-in-Chief: D. Peleg

Scope: Information and Computation is a respected journal that focuses on the intersection of information theory and computational theory. It serves as a platform for publishing high-quality research on theoretical computer science, algorithms, complexity theory, and their applications in various fields. Information and Computation publishes innovative research contributions in the following areas:
Theoretical Computer Science: Advances in algorithms, data structures, computational complexity, formal languages, automata theory, and computability theory.
Information Theory: Fundamental principles of information theory, including entropy, compression, coding theory, and communication theory.
Computational Complexity: Complexity classes, hardness of approximation, circuit complexity, structural complexity, and complexity-theoretic aspects of cryptography.
Quantum Computation: Quantum algorithms, quantum complexity theory, quantum information theory, and the study of quantum computing models.
Algorithm Design and Analysis: Design and analysis of efficient algorithms for combinatorial optimization, graph theory, machine learning, and other computational problems.
Formal Methods: Formal verification techniques, model checking, theorem proving, and their applications in software engineering and hardware verification.
Applications of Theoretical Computer Science: Practical applications of theoretical computer science in areas such as artificial intelligence, bioinformatics, computational biology, and computer networks.
Foundations of Computing: Philosophical and foundational aspects of computing, including the nature of computation, computation and cognition, and the impact of computing on society.