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researcher

Ralf Metzler

3 papers hereh-index 271 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cond-mat.stat-mech3
same name
  • Ralf Metzler — 10 papers, h 4
  • Ralf Metzler — 5 papers, h 3
  • Ralf Metzler — 5 papers, h 3
  • Ralf Metzler — 4 papers
  • Ralf Metzler — 4 papers, h 4
  • Ralf Metzler — 3 papers, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedFractional Brownian motion in a finite interval: correlations effect depletion or accretion zones of particles near boundaries

61 citations · 77 across the 3 of their papers we have counts for

collaborators

3 papers

cond-mat.stat-mech2026

Mean-field theory of myopic self-avoiding fractional Brownian motion

Rashad Bakhshizada, Skirmantas Janušonis, Ralf Metzler +1

Myopic self-avoiding fractional Brownian motion (FBM) is a stochastic process in which an ensemble of particles is driven by fractional Gaussian noise while being repelled by the g…

cond-mat.stat-mech2020★ 16 cited

Continuous Time Random Walk in a velocity field: Role of domain growth, Galilei-invariant advection-diffusion, and kinetics of particle mixing

F. Le Vot, E. Abad, R. Metzler +1

We consider the dynamics of a separable Continuous Time Random Walk (CTRW) when the random walker is biased by a velocity field in a uniformly growing domain. Concrete examples for…

cond-mat.stat-mech2019★ 61 cited

Fractional Brownian motion in a finite interval: correlations effect depletion or accretion zones of particles near boundaries

T. Guggenberger, G. Pagnini, T. Vojta +1

Fractional Brownian motion is a Gaussian stochastic process with stationary, long-time correlated increments and is frequently used to model anomalous diffusion processes. We study…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.