Coloring Random Graphs

Coloring Random Graphs is a theoretical framework in graph theory that prescribes methods for assigning colors to the vertices of randomly generated graphs such that no two adjacent vertices share the same color, distinguishing it from deterministic graph coloring by incorporating probabilistic analysis and phase transition phenomena inherent to random graph models.

226

Publications

9.5K

Citations

341

Authors

214

Institutions

Publications per year

2017–2026

30

Authors

341

  1. AF
    Alan Frieze

    Carnegie Mellon University, United States

    14 publications · 454 citations

    12

    h-index

  2. MD
    Martin Dyer

    University of Leeds, United Kingdom

    8 publications · 350 citations

    8

    h-index

  3. JH
    Jin‐Kao Hao

    Université d'Angers, France

    8 publications · 530 citations

    8

    h-index

  4. EV
    Eric Vigoda

    Georgia Institute of Technology, United States

    8 publications · 512 citations

    8

    h-index

  5. BS
    Benny Sudakov

    Princeton University, United States

    6 publications · 142 citations

    6

    h-index

1–5 of 341

Venues

  1. Random Structures and Algorithms

    21 publications · 652 citations

    15

    h-index

  2. COMBINATORICA

    11 publications · 606 citations

    11

    h-index

  3. arXiv (Cornell University)

    Repository · 10 publications · 264 citations

    10

    h-index

  4. Combinatorics Probability Computing

    12 publications · 290 citations

    10

    h-index

  5. Discrete Mathematics

    10 publications · 169 citations

    10

    h-index

1–5