Electronic Notes in Theoretical Computer Science
Published by Elsevier
ISSN : 1571-0661
Abbreviation : Electron. Note Theor. Comput. Sci.
Aims & Scope
Cessation.ENTCS is a venue for the rapid electronic publication of the proceedings of conferences, of lecture notes, monographs and other similar material for which quick publication and the availability on the electronic media is appropriate.
Organizers of conferences whose proceedings appear in ENTCS, and authors of other material appearing as a volume in the series are allowed to make hard copies of the relevant volume for limited distribution.
For example, conference proceedings may be distributed to participants at the meeting, and lecture notes can be distributed to those taking a course based on the material in the volume.
View Aims & ScopeAbstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Mathematics, designed to support cutting-edge academic discovery.
Licensing & Copyright
This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.
Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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Emotion Recognition from Physiological Signal Analysis: A Review
Citation: 439
Authors: Maria, Matthias, Sten
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Weaknesses of Margulis and Ramanujan-Margulis Low-Density Parity-Check Codes
Citation: 206
Authors: David J.C., Michael S.
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A Comparison of Multi-label Feature Selection Methods using the Problem Transformation Approach
Citation: 182
Authors: Newton, Everton Alvares, Maria Carolina, Huei Diana