Rank-frequency Distributions

Rank-Frequency Distributions is a statistical construct that represents the frequency of occurrence of elements in a dataset ranked in descending order, typically used to reveal patterns of inequality or skew in the distribution of linguistic, economic, or network phenomena.

75

Publications

4.7K

Citations

155

Authors

112

Institutions

Publications per year

2017–2026

9

Authors

155

  1. GC
    G. Cocho

    Universidad Nacional Autónoma de México, Mexico

    3 publications · 148 citations

    3

    h-index

  2. LE
    Leo Egghe

    Hasselt University, Belgium

    3 publications · 53 citations

    3

    h-index

  3. JG
    Jack Gorski

    Versiti Blood Center of Wisconsin, United States

    2 publications · 51 citations

    2

    h-index

  4. EN
    Elena N. Naumova

    Tufts University, United States

    2 publications · 51 citations

    2

    h-index

  5. AE
    A. E. Allahverdyan

    A. Alikhanyan National Laboratory, Armenia

    2 publications · 42 citations

    2

    h-index

1–5 of 155

Venues

  1. PLoS ONE

    7 publications · 455 citations

    7

    h-index

  2. Journal of Quantitative Linguistics

    5 publications · 212 citations

    5

    h-index

  3. Journal of the American Society for Information Science

    JASIS · 3 publications · 79 citations

    3

    h-index

  4. IEEE Transactions on Information Theory

    2 publications · 574 citations

    2

    h-index

  5. The Computer Journal

    2 publications · 41 citations

    2

    h-index

1–5