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Tobias Galla

4 papers hereh-index 475 citations12 works total

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

author position
  • sole author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • q-bio.PE2
  • cond-mat.dis-nn1
  • cond-mat.stat-mech1
same name
  • Tobias Galla — 16 papers
  • Tobias Galla — 3 papers, h 2
  • Tobias Galla — 3 papers, h 0
  • Tobias Galla — 2 papers, h 3
  • Tobias Galla — 2 papers, h 1
  • Tobias Galla — 1 paper, h 2

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

collaborators

4 papers

cond-mat.stat-mech2026

A diffusion approximation for systems with frequent weak resetting

Tobias Galla

We develop a diffusion approximation for systems subject to fast random resetting by small amplitudes. Equivalently, this describes systems with frequent but small catastrophes. We…

q-bio.PE2024

Navigating Uncertainty: Risk-Averse vs. Risk-Prone Strategies in Populations Facing Demographic and Environmental Stochasticity

Rubén Calvo Ibáñez, Miguel Ángel Muñoz, Tobias Galla

Strategies aimed at reducing the negative effects of long-term uncertainty and risk are common in biology, game theory, and finance, even if they entail a cost in terms of mean ben…

cond-mat.dis-nn2024

Generalised correlations in disordered dynamical systems: Insights from the many-species Lotka-Volterra model

Sebastian Holtedahl Castedo, Joshua Holmes, Joseph William Baron +1

In the study of disordered systems, one often chooses a matrix of independent identically distributed interaction coefficients to represent the quenched random couplings between co…

q-bio.PE2024

Higher-order interactions in random Lotka-Volterra communities

Laura Sidhom, Tobias Galla

We use generating functionals to derive a dynamic mean-field description for generalised Lotka-Volterra systems with higher-order quenched random interactions. We use the resulting…

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