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researcher

S. Johnston

21 papers hereh-index 8197 citations30 works total

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

author position
  • sole author7
  • first author7
  • middle author6
  • last author1

Across the 21 of 21 papers where every author was matched, so the position is known.

fields
  • math.PR14
  • math.AG3
  • math.CO2
  • q-bio.PE1
  • q-fin.MF1
same name
  • S. Johnston — 164 papers, h 62
  • S. Johnston — 92 papers, h 35
  • S. Johnston — 64 papers, h 35
  • S. Johnston — 43 papers, h 23
  • S. Johnston — 19 papers, h 3
  • S. Johnston — 15 papers, h 10

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
20172026
most citedThe genealogy of Galton-Watson trees

17 citations · 28 across the 19 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

math.PR2019

The coalescent structure of uniform and Poisson samples from multitype branching processes

Samuel G. G. Johnston, Amaury Lambert

We introduce a Poissonization method to study the coalescent structure of uniform samples from branching processes. This method relies on the simple observation that a uniform samp…

math.PR2019

Berry-Esseen bounds for random projections of ℓpn​-balls

Samuel G. G. Johnston, Joscha Prochno

In this work we study the rate of convergence in the central limit theorem for the Euclidean norm of random orthogonal projections of vectors chosen at random from an ℓpn​-ba…

math.PR2019★ 9 cited

Scaling limits for non-intersecting polymers and Whittaker measures

Samuel G. G. Johnston, Neil O'Connell

We study the partition functions associated with non-intersecting polymers in a random environment. By considering paths in series and in parallel, the partition functions carry na…

math.CO2019

Faà di Bruno's formula and inversion of power series

Samuel G. G. Johnston, Joscha Prochno

Faà di Bruno's formula gives an expression for the derivatives of the composition of two real-valued functions. In this paper we prove a multivariate and synthesized version of Faà…

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