activity
20152018
most citedPair correlation functions for identifying spatial correlation in discrete domains

34 citations · 81 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.CB2018

The invasion speed of cell migration models with realistic cell cycle time distributions

Enrico Gavagnin, Matthew J. Ford, Richard L. Mort +2

Cell proliferation is typically incorporated into stochastic mathematical models of cell migration by assuming that cell divisions occur after an exponentially distributed waiting…

q-bio.CB2018

Stochastic and deterministic modelling of cell migration

Enrico Gavagnin, Christian A. Yates

Mathematical models are vital interpretive and predictive tools used to assist in the understanding of cell migration. There are typically two approaches to modelling cell migratio…

math.ST2018★ 34 cited

Pair correlation functions for identifying spatial correlation in discrete domains

Enrico Gavagnin, Jennifer P. Owen, Christian A. Yates

Identifying and quantifying spatial correlation are important aspects of studying the collective behaviour of multi-agent systems. Pair correlation functions (PCFs) are powerful st…

cond-mat.soft2017★ 11 cited

Modelling persistence of motion in a crowded environment: the diffusive limit of excluding velocity-jump processes

Enrico Gavagnin, Christian A. Yates

Persistence of motion is the tendency of an object to maintain motion in a direction for short time scales without necessarily being biased in any direction in the long term. One o…

astro-ph.GA2015★ 18 cited

The Gaia-ESO Survey: N-body modelling of the Gamma Velorum cluster

M. Mapelli, A. Vallenari, R. D. Jeffries +22

The Gaia-ESO Survey has recently unveiled the complex kinematic signature of the Gamma Velorum cluster: this cluster is composed of two kinematically distinct populations (hereafte…