Threshold Phenomena

Threshold Phenomena is a probabilistic framework in extremal combinatorics that characterizes the sharp transition in the likelihood of a combinatorial property emerging as a random structure crosses a critical threshold parameter.

679

Publications

38.1K

Citations

1.4K

Authors

670

Institutions

Publications per year

2017–2026

93

Authors

1.4K

  1. AS
    Allan Sly

    University of California, Berkeley, United States

    7 publications · 504 citations

    7

    h-index

  2. LY
    Linji Yang

    Guangxi University, China

    6 publications · 120 citations

    6

    h-index

  3. EV
    Eric Vigoda

    Georgia Institute of Technology, United States

    6 publications · 120 citations

    6

    h-index

  4. HL
    Hailiang Liu

    Iowa State University, United States

    6 publications · 330 citations

    6

    h-index

  5. CM
    Cristopher Moore

    Santa Fe Institute, United States

    5 publications · 381 citations

    5

    h-index

1–5 of 1.4K

Venues

  1. Random Structures and Algorithms

    19 publications · 925 citations

    17

    h-index

  2. Physical Review E

    PRE · 21 publications · 922 citations

    16

    h-index

  3. arXiv (Cornell University)

    Repository · 19 publications · 566 citations

    14

    h-index

  4. Nuclear Physics B

    12 publications · 682 citations

    13

    h-index

  5. Physics Letters B

    12 publications · 506 citations

    12

    h-index

1–5