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.

4K

Publications

323.5K

Citations

7.3K

Authors

2.1K

Institutions

Publications per year

2017–2026

1.1K

Authors

7.3K

  1. SV
    Sergio Verdú

    Princeton University, United States

    38 publications · 4.5K citations

    28

    h-index

  2. SS
    Shlomo Shamai

    Technion – Israel Institute of Technology, Israel

    21 publications · 2.4K citations

    18

    h-index

  3. JC
    José C. Prı́ncipe

    University of Florida, United States

    24 publications · 1.1K citations

    18

    h-index

  4. MV
    Michel Verleysen

    UCLouvain, Belgium

    14 publications · 903 citations

    13

    h-index

  5. AP
    A. Plastino

    Universidad Nacional de La Plata, Argentina

    15 publications · 830 citations

    13

    h-index

1–5 of 7.3K

Venues

  1. IEEE Transactions on Information Theory

    288 publications · 31.5K citations

    83

    h-index

  2. Physical Review A

    PRA · 68 publications · 6.5K citations

    42

    h-index

  3. arXiv (Cornell University)

    Repository · 136 publications · 5.6K citations

    40

    h-index

  4. Physical Review Letters

    PRL · 56 publications · 15.4K citations

    39

    h-index

  5. Entropy

    106 publications · 3.7K citations

    34

    h-index

1–5