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20212026
most citedQuantitative evaluation of methods to analyze motion changes in single-particle experiments

32 citations · 52 across the 11 of their papers we have counts for

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8 papers · 1 filter

cond-mat.stat-mech2026

Improved mean squared displacement analysis for anomalous single particle trajectories

Jakub Ślęzak, Joanna Janczura, Diego Krapf +1

The mean squared displacement (MSD) is a cornerstone in the analysis of diffusion processes in complex media. When the system is heterogeneous and, in particular, when single-parti…

cond-mat.stat-mech2026

Turning angle analysis reveals hidden anisotropies in the anomalous diffusion of molecules in live cells

Michał Balcerek, Adrian Pacheco-Pozo, Agnieszka Wyłomańska +1

Molecular motion within living cells provides a window into the physical principles underlying intracellular organization and transport. Yet a fundamental limitation remains: measu…

cond-mat.stat-mech2025★ 1 cited

Heterogeneous diffusion in an harmonic potential: the role of the interpretation

Adrian Pacheco-Pozo, Igor M. Sokolov, Ralf Metzler +1

Diffusion in heterogeneous energy and diffusivity landscapes is widespread in biological systems. However, solving the Langevin equation in such environments introduces ambiguity d…

cond-mat.stat-mech2025★ 1 cited

Evaluating Gaussianity of heterogeneous fractional Brownian motion

Michał Balcerek, Adrian Pacheco-Pozo, Agnieszka Wyłomańska +1

Heterogeneous diffusion processes are prevalent in various fields, including the motion of proteins in living cells, the migratory movement of birds and mammals, and finance. These…

cond-mat.stat-mech2024

Analytical results for the distribution of first return times of non-backtracking random walks on configuration model networks

Dor Lev-Ari, Ido Tishby, Ofer Biham +2

We present analytical results for the distribution of first return (FR) times of non-backtracking random walks (NBWs) on undirected configuration model networks consisting of n…

cond-mat.stat-mech2024★ 3 cited

Two-dimensional Brownian motion with dependent components: turning angle analysis

Michał Balcerek, Adrian Pacheco-Pozo, Agnieszka Wyłomanska +2

Brownian motion in one or more dimensions is extensively used as a stochastic process to model natural and engineering signals, as well as financial data. Most works dealing with m…