Markov Generators

Markov Generators is a mathematical operator that characterizes the infinitesimal evolution of a continuous-time Markov process by specifying the rate of transition between states, distinguishing it from other dynamical generators through its adherence to the Markov property and non-negativity preservation.

150

Publications

9.4K

Citations

219

Authors

157

Institutions

Publications per year

2017–2026

9

Authors

219

  1. FF
    Franco Fagnola

    Politecnico di Milano, Italy

    7 publications · 277 citations

    7

    h-index

  2. VU
    Veronica Umanità

    University of Genoa, Italy

    5 publications · 223 citations

    5

    h-index

  3. AY
    Alexander Y. Mitrophanov

    United States Army Medical Research and Development Command, United States

    4 publications · 162 citations

    4

    h-index

  4. ML
    Michel Ledoux

    Université Toulouse III - Paul Sabatier, France

    3 publications · 218 citations

    3

    h-index

  5. RL
    René L. Schilling

    Technische Universität Dresden, Germany

    3 publications · 59 citations

    3

    h-index

1–5 of 219

Venues

  1. Journal of Applied Probability

    JAP · 8 publications · 327 citations

    8

    h-index

  2. Israel Journal of Mathematics

    6 publications · 186 citations

    6

    h-index

  3. Journal of Functional Analysis

    5 publications · 115 citations

    5

    h-index

  4. Communications in Mathematical Physics

    4 publications · 195 citations

    4

    h-index

  5. Electronic Journal of Probability

    EJP · 4 publications · 67 citations

    4

    h-index

1–5