Journals Entropy
Name
Entropy
Subjects
Physics and engineering
Information theory
Complex systems
Inquiry
Computing
Chemistry and biology
Machine learning and systems theory
Economics
Information theory
Complex systems
Inquiry
Computing
Chemistry and biology
Machine learning and systems theory
Economics
ISSN
1099-4300
Creative Commons
Articles published in Entropy will be Open-Access articles distributed under the terms and conditions of the Creative Commons Attribution License (CC BY). The copyright is retained by the author(s). MDPI will insert the following note at the end of the published text: © 2020 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/).
Description
Entropy (ISSN 1099-4300), an international and interdisciplinary journal of entropy and information studies, publishes reviews, regular research papers and short notes. Our aim is to encourage scientists to publish as much as possible their theoretical and experimental details. Entropy deals with the development and/or application of entropy or information-theoretic concepts in a wide variety of applications. Relevant submissions ought to focus on one of the following: develop the theory behind entropy or information theory, provide new insights into entropy or information-theoretic concepts, demonstrate a novel use of entropy or information-theoretic concepts in an application, obtain new results using concepts of entropy or information theory.
Impact Factor (2 years)
2.494
Publisher
MDPI
Journal Webpage
Journal type
Open Access