Markov States

Markov States is a state within a stochastic process characterized by the Markov property, whereby the future state depends only on the present state and not on the sequence of preceding states.

235

Publications

20.7K

Citations

552

Authors

311

Institutions

Publications per year

2017–2026

37

Variants

Markovian States

Authors

552

  1. FN
    Frank Noé

    Freie Universität Berlin, Germany

    5 publications · 832 citations

    5

    h-index

  2. FM
    Farrukh Mukhamedov

    International Islamic University Malaysia, Malaysia

    5 publications · 125 citations

    5

    h-index

  3. LA
    Luigi Accardi

    University of Rome Tor Vergata, Italy

    4 publications · 149 citations

    4

    h-index

  4. DT
    Demosthenis Teneketzis

    University of Michigan, United States

    3 publications · 140 citations

    3

    h-index

  5. KH
    Kirstin Hubrich

    Federal Reserve Board of Governors, United States

    3 publications · 310 citations

    3

    h-index

1–5 of 552

Venues

  1. IEEE Transactions on Information Theory

    11 publications · 5.5K citations

    11

    h-index

  2. 5

    h-index

  3. SSRN Electronic Journal

    Repository · 5 publications · 266 citations

    5

    h-index

  4. Journal of Chemical Theory and Computation

    JCTC · 4 publications · 460 citations

    5

    h-index

  5. Advances in Applied Probability

    AAP · 4 publications · 99 citations

    4

    h-index

1–5