Transition Probability Analysis

Transition Probability Analysis is a longitudinal outcomes analysis method that quantifies the likelihood of moving between discrete states over time within a stochastic process, distinguishing itself by explicitly modeling state-to-state transitions as probabilistic events conditional on initial conditions and temporal dynamics.

1K

Publications

54.7K

Citations

2.6K

Authors

972

Institutions

Publications per year

2017–2026

152

Authors

2.6K

  1. NV
    Nikolay V. Vitanov

    Sofia University "St. Kliment Ohridski", Bulgaria

    15 publications · 649 citations

    13

    h-index

  2. TW
    Tao Wang

    University of Science and Technology of China, China

    6 publications · 166 citations

    6

    h-index

  3. TL
    T. L. Cottrell

    University of Oxford, United Kingdom

    6 publications · 192 citations

    6

    h-index

  4. WL
    W. L. Wiese

    National Institute of Standards and Technology, United States

    6 publications · 436 citations

    6

    h-index

  5. HN
    Hiroki Nakamura

    Institute for Molecular Science, Japan

    6 publications · 314 citations

    6

    h-index

1–5 of 2.6K

Venues

  1. The Journal of Chemical Physics

    63 publications · 10.7K citations

    30

    h-index

  2. Physical Review A

    PRA · 47 publications · 2.4K citations

    24

    h-index

  3. Physical Review

    31 publications · 4.7K citations

    22

    h-index

  4. Physical Review Letters

    PRL · 25 publications · 2.5K citations

    22

    h-index

  5. Physical review. A, General physics

    24 publications · 1.2K citations

    19

    h-index

1–5