Information Entropy
Information Entropy is a measure of uncertainty or disorder within a probabilistic distribution, quantifying the average amount of information produced by a stochastic source of data.
3.3K
Publications
199.2K
Citations
8.3K
Authors
2.5K
Institutions
Publications per year
2017–2026
1.4K
3.3K
Information Theory and Statistical Mechanics
E. T. Jaynes · Physical Review · 1957 · 12.9K citations
Characterization of Strange Attractors
Peter Grassberger, Itamar Procaccia · Physical Review Letters · 1983 · 4.8K citations
Measuring Information Transfer
Thomas Schreiber · Physical Review Letters · 2000 · 4.5K citations · Full text
1–5 of 3.3K
8.3K
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University of Electronic Science and Technology of China, China
22 publications · 1.1K citations
18
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14
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13
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11
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1–5 of 8.3K
2.5K

Chinese Academy of Sciences
Beijing, China
25 h-index
58 publications
2.5K citations

University of Electronic Science and Technology of China
Chengdu, China
24 h-index
41 publications
1.6K citations
Tsinghua University
Beijing, China
23 h-index
46 publications
2.9K citations

Xi'an Jiaotong University
Xi'an, China
20 h-index
30 publications
1.7K citations

Northwestern Polytechnical University
Xi'an, China
20 h-index
27 publications
1.4K citations
Jagiellonian University
Krakow, Poland
20 h-index
27 publications
813 citations

Beihang University
Beijing, China
19 h-index
30 publications
1K citations
Wuhan University
Wuhan, China
19 h-index
28 publications
979 citations
1–8 of 2.5K
218 publications · 7.6K citations
47
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58 publications · 11.8K citations
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83 publications · 3.3K citations
31
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36 publications · 905 citations
21
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PRL · 22 publications · 12.2K citations
20
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