Pointwise Mutual Information

Pointwise Mutual Information is an information-theoretic measure that quantifies the logarithmic ratio of the joint probability of two specific events to the product of their individual probabilities, capturing the strength of association between those events.

166

Publications

14.6K

Citations

471

Authors

211

Institutions

Publications per year

2017–2026

64

Authors

471

  1. PD
    Peter D. Turney

    National Research Council Canada, Canada

    3 publications · 2.1K citations

    3

    h-index

  2. ML
    Michael L. Littman

    Rutgers, The State University of New Jersey, United States

    3 publications · 2.1K citations

    3

    h-index

  3. DN
    David Newman

    National Cancer Institute, United States

    3 publications · 1K citations

    3

    h-index

  4. JL
    Jianguo Lü

    University of Windsor, Canada

    2 publications · 34 citations

    2

    h-index

  5. ZJ
    Zhi Jin

    Peking University, China

    2 publications · 254 citations

    2

    h-index

1–5 of 471

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 401 citations

    11

    h-index

  2. Pattern Recognition

    3 publications · 101 citations

    3

    h-index

  3. Technometrics

    2 publications · 36 citations

    2

    h-index

  4. IEEE Transactions on Information Theory

    2 publications · 521 citations

    2

    h-index

  5. Physical review. E

    PRE · 2 publications · 93 citations

    2

    h-index

1–5