Entropy
From IEETA
| URL | http://www.mdpi.com/journal/entropy |
|---|---|
| ISSN | 1099-4300 |
| Country | Switzerland |
About the journal
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
Articles
- Diogo Pratas, Morteza Hosseini, Jorge Miguel Silva, Armando J. Pinho. A reference-free lossless compression algorithm for DNA sequences using a competitive prediction of two classes of weighted models. Entropy, vol. 21, p. 1074, November 2019
- Diogo Pratas, Raquel Silva, Armando J. Pinho. Comparison of Compression-Based Measures with Application to the Evolution of Primate Genomes. Entropy, vol. 20, no. 6, p. 393, May 2018
- Manuel J. Duarte, Armando J. Pinho. Bacterial DNA sequence compression models using artificial neural networks. Entropy, vol. 15, p. 3435-3448, August 2013
Impact factor
The impact factor of Entropy is as follows:
| Year | Impact | Rank | Quartile |
|---|---|---|---|
| 2017 | 2.305 | 22/78 | Q2 |
| 2016 | 1.821 | 26/79 | Q2 |
| 2015 | 1.743 | 25/79 | Q2 |
| 2014 | 1.502 | 34/78 | Q2 |
| 2013 | 1.564 | 29/78 | Q2 |
| 2012 | 1.347 | 37/83 | Q2 |
| 2011 | 1.183 | 36/84 | Q2 |
| 2010 | 1.109 | 34/80 | Q2 |