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20202026
most citedExtreme value statistics of positive recurrent centrally biased random walks

8 citations · 15 across the 7 of their papers we have counts for

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cond-mat.stat-mech2022★ 8 cited

Extreme value statistics of positive recurrent centrally biased random walks

Roberto Artuso, Manuele Onofri, Gaia Pozzoli +1

We consider the extreme value statistics of centrally-biased random walks with asymptotically-zero drift in the ergodic regime. We fully characterize the asymptotic distribution of…

cond-mat.stat-mech2022★ 3 cited

Transport properties of diffusive particles conditioned to survive in trapping environments

Gaia Pozzoli, Benjamin De Bruyne

We consider a one-dimensional Brownian motion with diffusion coefficient in the presence of partially absorbing traps with intensity , separated by a distance and ev…

cond-mat.stat-mech2021

Survival probability of random walks leaping over traps

Gaia Pozzoli, Benjamin De Bruyne

We consider one-dimensional discrete-time random walks (RWs) in the presence of finite size traps of length over which the RWs can jump. We study the survival probability of…

cond-mat.stat-mech2020

A continuous-time random walk extension of the Gillis model

Gaia Pozzoli, Mattia Radice, Manuele Onofri +1

We consider a continuous-time random walk which is the generalization, by means of the introduction of waiting periods on sites, of the one-dimensional nonhomogeneous random walk w…

cond-mat.stat-mech2020

Exploring the Gillis model: a discrete approach to diffusion in logarithmic potentials

Manuele Onofri, Gaia Pozzoli, Mattia Radice +1

Gillis model, introduced more than 60 years ago, is a non-homogeneous random walk with a position dependent drift. Though parsimoniously cited both in the physical and mathematical…

cond-mat.stat-mech2020

Statistics of occupation time and connection to local properties of non-homogeneous random walks

Mattia Radice, Manuele Onofri, Roberto Artuso +1

We consider the statistics of occupation times, the number of visits at the origin and the survival probability for a wide class of stochastic processes, which can be classified as…