Transition Probability Functions

Transition Probability Functions is a mathematical construct in stochastic processes that specifies the probability of transitioning from one state to another at a given time, distinguished within the class of probability functions by its explicit dependence on the duration spent in the current state and its role in characterizing the embedded jump process and sojourn times in semi-Markov processes.

1.3K

Publications

83.8K

Citations

3.1K

Authors

1.1K

Institutions

Publications per year

2017–2026

165

Authors

3.1K

  1. NV
    Nikolay V. Vitanov

    Sofia University "St. Kliment Ohridski", Bulgaria

    13 publications · 597 citations

    12

    h-index

  2. WL
    W. L. Wiese

    National Institute of Standards and Technology, United States

    10 publications · 732 citations

    10

    h-index

  3. HR
    Howard Reiss

    University of California, Los Angeles, United States

    7 publications · 1.9K citations

    7

    h-index

  4. JH
    Ju H. Park

    Yeungnam University, South Korea

    7 publications · 1.1K citations

    7

    h-index

  5. TW
    Tao Wang

    University of Science and Technology of China, China

    7 publications · 213 citations

    7

    h-index

1–5 of 3.1K

Venues

  1. The Journal of Chemical Physics

    90 publications · 13.1K citations

    39

    h-index

  2. Physical Review

    36 publications · 4.9K citations

    23

    h-index

  3. Physical Review Letters

    PRL · 27 publications · 2.8K citations

    23

    h-index

  4. Physical Review A

    PRA · 47 publications · 2.2K citations

    23

    h-index

  5. Physical review. A, General physics

    35 publications · 3K citations

    23

    h-index

1–5