Mutual Information
Mutual Information is a measure in information theory that quantifies the amount of information shared between two random variables by defining the reduction in uncertainty about one variable given knowledge of the other.
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2017–2026
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Measuring Information Transfer
Thomas Schreiber · Physical Review Letters · 2000 · 4.5K citations · Full text
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Princeton University
Princeton, United States
44 h-index
84 publications
10.1K citations
Massachusetts Institute of Technology
Cambridge, United States
39 h-index
70 publications
6.8K citations

Centre National de la Recherche Scientifique
Paris, France
34 h-index
79 publications
4.8K citations
Stanford University
Stanford, United States
30 h-index
51 publications
4.6K citations
University of Cambridge
Cambridge, United Kingdom
30 h-index
45 publications
3.9K citations
Technion – Israel Institute of Technology
Haifa, Israel
29 h-index
41 publications
3.2K citations
ETH Zurich
Zurich, Switzerland
28 h-index
55 publications
5.7K citations
University of Illinois Urbana-Champaign
Urbana, United States
27 h-index
49 publications
3.1K citations
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288 publications · 31.5K citations
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PRA · 68 publications · 6.5K citations
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Repository · 136 publications · 5.6K citations
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PRL · 56 publications · 15.4K citations
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106 publications · 3.7K citations
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