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20212026
most citedEigenvalues of random matrices with generalised correlations: a path integral approach

24 citations · 45 across the 6 of their papers we have counts for

collaborators

6 papers

q-bio.CB2026

Cell-cell adhesion cannot sustain extended follower streams in a minimal non-local model of leader-follower migration

Thomas Jun Jewell, Samuel W. S. Johnson, Ruth E. Baker +1

Cell-cell adhesion is widely hypothesised to maintain cohesion within the long streams of follower cells that trail leader subpopulations during collective migration, including in…

nlin.PS2025

Chase-and-Run and Chirality in Nonlocal Models of Pattern Formation

Thomas Jun Jewell, Andrew L. Krause, Philip K. Maini +1

Chase-and-run dynamics, in which one population pursues another that flees from it, are found throughout nature, from predator-prey interactions in ecosystems to the collective mot…

nlin.PS2023

Turing instabilities are not enough to ensure pattern formation

Andrew L. Krause, Eamonn A. Gaffney, Thomas Jun Jewell +2

Symmetry-breaking instabilities play an important role in understanding the mechanisms underlying the diversity of patterns observed in nature, such as in Turing's reaction--diffus…

nlin.PS2023★ 1 cited

Patterning of nonlocal transport models in biology: the impact of spatial dimension

Thomas Jun Jewell, Andrew L. Krause, Philip K. Maini +1

Throughout developmental biology and ecology, transport can be driven by nonlocal interactions. Examples include cells that migrate based on contact with pseudopodia extended from…

cond-mat.dis-nn2022★ 20 cited

Breakdown of random-matrix universality in persistent Lotka--Volterra communities

Joseph W. Baron, Thomas Jun Jewell, Christopher Ryder +1

The eigenvalue spectrum of a random matrix often only depends on the first and second moments of its elements, but not on the specific distribution from which they are drawn. The v…

cond-mat.dis-nn2021★ 24 cited

Eigenvalues of random matrices with generalised correlations: a path integral approach

Joseph W. Baron, Thomas Jun Jewell, Christopher Ryder +1

Random matrix theory allows one to deduce the eigenvalue spectrum of a large matrix given only statistical information about its elements. Such results provide insight into what fa…