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20232026
most citedRandom resetting in search problems

6 citations · 11 across the 5 of their papers we have counts for

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cond-mat.stat-mech2026

Towards synergy between theory and experiments: First-passage processes under resetting with stochastic return protocols

Ashutosh Dubey, Arnab Pal

Stochastic resetting with stochastic return (SR) has recently emerged as an effective and practically relevant strategy for controlling first-passage phenomena and optimizing searc…

cond-mat.stat-mech2024

The impact of stochastic resetting on resource allocation: The case of Reallocating geometric Brownian motion

Petar Jolakoski, Pece Trajanovski, Arnab Pal +3

We study the effects of stochastic resetting on the Reallocating geometric Brownian motion (RGBM), an established model for resource redistribution relevant to systems such as popu…

cond-mat.stat-mech2024★ 1 cited

Is active motion beneficial for target search with resetting in a thermal environment?

Priyo Shankar Pal, Jong-Min Park, Arnab Pal +2

Stochastic resetting has recently emerged as an efficient target-searching strategy in various physical and biological systems. The efficiency of this strategy depends on the type…

cond-mat.stat-mech2024★ 4 cited

Drift-diffusive resetting search process with stochastic returns: speed-up beyond optimal instantaneous return

Arup Biswas, Ashutosh Dubey, Anupam Kundu +1

Stochastic resetting has emerged as a useful strategy to reduce the completion time for a broad class of first passage processes. In the canonical setup, one intermittently resets…

cond-mat.stat-mech2023★ 6 cited

Random resetting in search problems

Arnab Pal, Viktor Stojkoski, Trifce Sandev

By periodically returning a search process to a known or random state, random resetting possesses the potential to unveil new trajectories, sidestep potential obstacles, and conseq…