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researcher

S. Ito

8 papers hereh-index 315 citations10 works total

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

author position
  • middle author2
  • last author6

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cond-mat.stat-mech7
  • physics.bio-ph1
same name
  • S. Ito — 33 papers, h 8
  • S. Ito — 30 papers, h 19
  • S. Ito — 23 papers, h 11
  • S. Ito — 10 papers, h 6
  • S. Ito — 9 papers, h 19
  • S. Ito — 7 papers, h 45

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
20192026
most citedThe behaviour of information flow near criticality

18 citations · 23 across the 8 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cond-mat.stat-mech2026

Oscillatory-nonnormal decomposition of dissipation in Ornstein-Uhlenbeck processes

Ryuna Nagayama, Artemy Kolchinsky, Sosuke Ito

We provide a decomposition of the steady-state entropy production rate associated with an Ornstein-Uhlenbeck process into two contributions: one associated with oscillatory behavio…

cond-mat.stat-mech2026

Cycle affinity and winding localize eigenvalues of Markov generators

Artemy Kolchinsky, Naruo Ohga, Sosuke Ito

The complex eigenvalues of Markov generators govern oscillatory properties of relaxation, autocorrelation, and linear response. We show that these eigenvalues are localized by none…

cond-mat.stat-mech2026

Information-Geometric Signatures of Nonconservative Driving

Andrea Auconi, Sosuke Ito

We propose an information-geometric signature of nonconservative driving that detects violations of detailed balance using the Kullback--Leibler divergence and the Fisher informati…

physics.bio-ph2026

Decoding cell signaling via optimal transport and information theory

Mintu Nandi, Sosuke Ito

Cellular signal processing performs reliably despite molecular noise. Mutual information (MI) is widely used to quantify signaling fidelity, capturing how well outputs discriminate…

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