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researcher

J. Mahoney

4 papers hereh-index 16818 citations50 works total

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

author position
  • first author3
  • middle author1

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

fields
  • cond-mat.stat-mech2
  • nlin.PS1
  • quant-ph1
same name
  • J. Mahoney — 1 paper
  • J. Mahoney — 1 paper

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
20092016
most citedInformation Accessibility and Cryptic Processes: Linear Combinations of Causal States

3 citations · 3 across the 2 of their papers we have counts for

collaborators

4 papers

quant-ph2016

The Ambiguity of Simplicity

Cina Aghamohammadi, John R. Mahoney, James P. Crutchfield

A system's apparent simplicity depends on whether it is represented classically or quantally. This is not so surprising, as classical and quantum physics are descriptive frameworks…

nlin.PS2015

Finite-time barriers to front propagation in two-dimensional fluid flows

John R. Mahoney, Kevin A. Mitchell

Recent theoretical and experimental investigations have demonstrated the role of certain invariant manifolds, termed burning invariant manifolds (BIMs), as one-way dynamical barrie…

cond-mat.stat-mech2009★ 3 cited

Information Accessibility and Cryptic Processes: Linear Combinations of Causal States

John R. Mahoney, Christopher J. Ellison, James P. Crutchfield

We show in detail how to determine the time-reversed representation of a stationary hidden stochastic process from linear combinations of its forward-time ε-machine causal states…

cond-mat.stat-mech2009

Information Accessibility and Cryptic Processes

John R. Mahoney, Christopher J. Ellison, James P. Crutchfield

We give a systematic expansion of the crypticity--a recently introduced measure of the inaccessibility of a stationary process's internal state information. This leads to a hierarc…

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