State Transition Probabilities

State Transition Probabilities is a mathematical construct in Markov modeling that specifies the probability of transitioning from one state to another within a discrete or continuous state space, distinguishing it from other components of the model by quantifying the likelihood of state changes over time.

2.2K

Publications

110.6K

Citations

5.4K

Authors

1.8K

Institutions

Publications per year

2017–2026

404

Authors

5.4K

  1. ÉB
    Émile Biémont

    University of Liège, Belgium

    12 publications · 297 citations

    11

    h-index

  2. AH
    A Hibbert

    Queen's University Belfast, United Kingdom

    11 publications · 262 citations

    11

    h-index

  3. JD
    James D. Nichols

    United States Geological Survey, United States

    9 publications · 1.6K citations

    9

    h-index

  4. AD
    Aniruddha Datta

    Texas A&M University, United States

    8 publications · 831 citations

    8

    h-index

  5. DJ
    Donald J. Kouri

    University of Houston, United States

    8 publications · 529 citations

    8

    h-index

1–5 of 5.4K

Venues

  1. The Journal of Chemical Physics

    103 publications · 6.6K citations

    39

    h-index

  2. IEEE Transactions on Automatic Control

    25 publications · 1.5K citations

    21

    h-index

  3. 19

    h-index

  4. Operations Research

    23 publications · 2.4K citations

    19

    h-index

  5. Physical Review A

    PRA · 29 publications · 937 citations

    19

    h-index

1–5