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S. Kinoshita

4 papers hereh-index 7139 citations25 works total

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

author position
  • first author2
  • middle author2

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

fields
  • cond-mat.dis-nn2
  • cond-mat.stat-mech1
  • q-bio.MN1
same name
  • S. Kinoshita — 17 papers, h 8
  • S. Kinoshita — 2 papers, h 6

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
20052018
most citedRugged Fitness Landscapes of Kauffman Model with a Scale-Free Network

12 citations · 13 across the 4 of their papers we have counts for

collaborators

4 papers

q-bio.MN2018

Role of self-loop in cell-cycle network of budding yeast

Shu-ichi Kinoshita, Hiroaki S. Yamada

Study of network dynamics is very active area in biological and social sciences. However, the relationship between the network structure and the attractors of the dynamics has not…

cond-mat.dis-nn2007

Robustness of Attractor States in Complex Networks with Scale-free Topology

Shu-ichi Kinoshita, Kazumoto Iguchi, Hiroaki S. Yamada

We study the intrinsic properties of attractors in the Boolean dynamics in complex network with scale-free topology, comparing with those of the so-called random Kauffman networks.…

cond-mat.dis-nn2005★ 1 cited

Boolean Dynamics of Kauffman Models with a Scale-Free Network

Kazumoto Iguchi, Shuichi Kinoshita, Hiroaki S. Yamada

We study the Boolean dynamics of the "quenched" Kauffman models with a directed scale-free network, comparing with that of the original directed random Kauffman networks and that o…

cond-mat.stat-mech2005★ 12 cited

Rugged Fitness Landscapes of Kauffman Model with a Scale-Free Network

Kazumoto Iguchi, Shuichi Kinoshita, Hiroaki Yamada

We study the nature of fitness landscapes of 'quenched' Kauffman's Boolean model with a scale-free network. We have numerically calculated the rugged fitness landscapes, the distri…

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