Markov Chains

Markov Chains is a stochastic process characterized by the Markov property, in which the future state depends only on the present state and is conditionally independent of the past given the present.

24.6K

Publications

1.7M

Citations

28.1K

Authors

4.9K

Institutions

Publications per year

2017–2026

2.6K

Authors

28.1K

  1. GO
    Gareth O. Roberts

    University of Warwick, United Kingdom

    75 publications · 11.5K citations

    42

    h-index

  2. RL
    Richard L. Tweedie

    Colorado State University, United States

    66 publications · 6.6K citations

    39

    h-index

  3. PD
    Persi Diaconis

    Stanford University, United States

    55 publications · 8.8K citations

    34

    h-index

  4. JS
    Jeffrey S. Rosenthal

    University of Toronto, Canada

    57 publications · 7.9K citations

    33

    h-index

  5. HK
    Harry Kesten

    Cornell University, United States

    45 publications · 4.8K citations

    32

    h-index

1–5 of 28.1K

Venues

  1. Journal of the American Statistical Association

    235 publications · 55.1K citations

    86

    h-index

  2. The Annals of Probability

    419 publications · 30.2K citations

    86

    h-index

  3. Journal of Statistical Physics

    533 publications · 36.4K citations

    80

    h-index

  4. Technometrics

    127 publications · 44K citations

    72

    h-index

  5. Probability Theory and Related Fields

    360 publications · 18.2K citations

    72

    h-index

1–5