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M. Virgilio

4 papers hereh-index 3107 citations4 works total

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

author position
  • first author1
  • middle author1
  • last author2

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

fields
  • cond-mat.stat-mech3
  • cond-mat1
same name
  • M. Virgilio — 12 papers, h 21
  • M. Virgilio — 4 papers, h 3
  • M. Virgilio — 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

most citedCompression and diffusion: a joint approach to detect complexity

62 citations · 69 across the 4 of their papers we have counts for

collaborators

4 papers

cond-mat.stat-mech2002★ 2 cited

Dynamical systems and computable information

V. Benci, C. Bonanno, S. Galatolo +2

We present some new results which relate information to chaotic dynamics. In our approach the quantity of information is measured by the Algorithmic Information Content (Kolmogorov…

cond-mat.stat-mech2002

Entropic Analysis of non-Stationary Sequences

M. Virgilio, P. Grigolini

The aim of this paper is to shed light on the analysis of non-stationary time series by means of the method of diffusion entropy. For this purpose, we first study the case when inf…

cond-mat2002★ 62 cited

Compression and diffusion: a joint approach to detect complexity

P. Allegrini, V. Benci, P. Grigolini +8

The adoption of the Kolmogorov-Sinai (KS) entropy is becoming a popular research tool among physicists, especially when applied to a dynamical system fitting the conditions of vali…

cond-mat.stat-mech2001★ 5 cited

Facing Non-Stationary Conditions with a New Indicator of Entropy Increase: The Cassandra Algorithm

P. Allegrini, P. Grigolini, P. Hamilton +3

We address the problem of detecting non-stationary effects in time series (in particular fractal time series) by means of the Diffusion Entropy Method (DEM). This means that the ex…

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