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

Authors

8.3K

  1. RF
    Roman F. Nalewajski

    Jagiellonian University, Poland

    25 publications · 797 citations

    19

    h-index

  2. YD
    Yong Deng

    University of Electronic Science and Technology of China, China

    22 publications · 1.1K citations

    18

    h-index

  3. JS
    J. S. Dehesa

    Universidad de Granada, Spain

    14 publications · 656 citations

    14

    h-index

  4. JC
    José C. Prı́ncipe

    University of Florida, United States

    14 publications · 796 citations

    13

    h-index

  5. SD
    Shi‐Hai Dong

    Instituto Politécnico Nacional, Mexico

    12 publications · 609 citations

    11

    h-index

1–5 of 8.3K

Venues

  1. Entropy

    218 publications · 7.6K citations

    47

    h-index

  2. IEEE Transactions on Information Theory

    58 publications · 11.8K citations

    35

    h-index

  3. IEEE Access

    83 publications · 3.3K citations

    31

    h-index

  4. 21

    h-index

  5. Physical Review Letters

    PRL · 22 publications · 12.2K citations

    20

    h-index

1–5