Stochastic Relaxation Processes

Stochastic Relaxation Processes is a theoretical framework in statistical physics and dynamical systems that describes the time evolution of systems approaching equilibrium through random, probabilistically governed transitions, distinguished from deterministic relaxation mechanisms by its incorporation of intrinsic noise and fluctuation-driven dynamics.

331

Publications

37.1K

Citations

668

Authors

387

Institutions

Publications per year

2017–2026

39

Authors

668

  1. KW
    Karina Weron

    Wrocław University of Science and Technology, Poland

    6 publications · 138 citations

    6

    h-index

  2. AP
    Antonino Polimeno

    University of Padua, Italy

    5 publications · 159 citations

    5

    h-index

  3. AJ
    Agnieszka Jurlewicz

    Wrocław University of Science and Technology, Poland

    4 publications · 114 citations

    4

    h-index

  4. PG
    Paolo Grigolini

    University of North Texas, United States

    4 publications · 211 citations

    4

    h-index

  5. RM
    Ralf Metzler

    University of Potsdam, Germany

    4 publications · 494 citations

    4

    h-index

1–5 of 668

Venues

  1. The Journal of Chemical Physics

    33 publications · 2.1K citations

    22

    h-index

  2. Physical Review Letters

    PRL · 21 publications · 1.4K citations

    16

    h-index

  3. Physical Review E

    PRE · 16 publications · 701 citations

    14

    h-index

  4. 11

    h-index

  5. Journal of Physics A Mathematical and General

    10 publications · 448 citations

    10

    h-index

1–5