Electronic Notes in Theoretical Computer Science Elsevier Journal Impact Factor

Electronic Notes in Theoretical Computer Science - Elsevier | 2024 Cite Score:2.0 | Q3

Electronic Notes in Theoretical Computer Science Journal With Cite Score

Cite Score and Journal Rank of Electronic Notes in Theoretical Computer Science

About: Electronic Notes in Theoretical Computer Science (ENTCS) is an online-only, peer-reviewed scientific journal that publishes proceedings of workshops and conferences, as well as other relevant theoretical computer science research. It is published by Elsevier and focuses on all aspects of theoretical computer science.
Objective:
The primary objective of ENTCS is to provide a rapid and efficient publication venue for the dissemination of high-quality research in theoretical computer science. The journal aims to serve the community by offering timely access to the latest developments and findings in the field.
Interdisciplinary Approach:
ENTCS adopts an interdisciplinary approach by integrating various aspects of theoretical computer science, allowing researchers from different specializations to contribute and collaborate. This approach enhances the understanding of complex problems by leveraging diverse perspectives and methodologies.
Impact and Significance:
ENTCS has a significant impact on the theoretical computer science community by facilitating the rapid dissemination of research findings. It helps researchers, practitioners, and students access the latest work in the field, fostering collaboration and furthering advancements in theoretical computer science. The journal is an important resource for anyone involved in theoretical computer science research and education.

Journal Home: Journal Homepage

Editor-in-Chief: Michael W. Mislove

Scope: The Electronic Notes in Theoretical Computer Science (ENTCS) is a scholarly journal dedicated to the rapid dissemination of new and significant research findings in the field of theoretical computer science. The journal covers a wide range of topics, including but not limited to:
Algorithms and Data Structures: Research on the design, analysis, and optimization of algorithms and data structures for various computational problems.
Automata Theory and Formal Languages: Studies on automata, grammars, formal languages, and their applications in computer science.
Computational Complexity: Exploration of the inherent difficulty of computational problems and the classification of problems based on their computational resources.
Logic in Computer Science: Application of logic to computer science, including formal methods, verification, model checking, and automated reasoning.
Concurrency and Distributed Computing: Research on concurrent and distributed systems, including models, algorithms, and verification techniques.
Programming Languages and Semantics: Studies on the design, semantics, and implementation of programming languages, including type theory and formal semantics.
Formal Methods: Application of formal mathematical techniques to specify, develop, and verify hardware and software systems.
Cryptography and Security: Research on cryptographic protocols, security models, and the theoretical foundations of information security.
Quantum Computing: Exploration of quantum computation, quantum algorithms, and quantum information theory.
Artificial Intelligence: Theoretical foundations of AI, including machine learning, reasoning, and knowledge representation.
Bioinformatics and Computational Biology: Application of theoretical computer science to biological and biomedical problems.
Graph Theory and Combinatorics: Studies on graph algorithms, combinatorial optimization, and related areas.
Software Engineering: Formal approaches to software development, including specification, verification, and testing.