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W. Pietsch

8 papers hereh-index 181.7k citations176 works total

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

author position
  • sole author4
  • first author1
  • last author1

Across the 6 of 8 papers where every author was matched, so the position is known.

fields
  • astro-ph4
  • cond-mat.stat-mech4
same name
  • W. Pietsch — 9 papers, h 31
  • W. Pietsch — 2 papers, h 24
  • W. Pietsch — 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

activity
19972005
most citedDerivation of the percolation threshold for the network model of Barabasi and Albert

10 citations · 11 across the 4 of their papers we have counts for

collaborators
Showing cond-mat.stat-mechShow all

4 papers · 1 filter

cond-mat.stat-mech2005

Towards correlated random networks

W. Pietsch

A model of correlated random networks is examined, i.e. networks with correlations between the degrees of neighboring nodes. These nodes do not necessarily have to be direct neighb…

cond-mat.stat-mech2005★ 1 cited

On a suggested link between irreversibility and causality

W. Pietsch

It has been a long time issue in statistical physics how to combine reversible microscopic equations with irreversible macroscopic behavior. Recently, Evans and Searles have sugges…

cond-mat.stat-mech2005

Derivation of a Fluctuation Theorem from the probabilistic definition of entropy

W. Pietsch

It will be shown, how the Boltzmannian ideas on statistical physics can be naturally applied to nonequilibrium thermodynamics. A similar approach for treating nonequilibrium phenom…

cond-mat.stat-mech2005★ 10 cited

Derivation of the percolation threshold for the network model of Barabasi and Albert

W. Pietsch

The percolation threshold of the network model by Barabasi and Albert (BA-model) [Science 286, 509 (1999)] has thus far only been 'guessed' based on simulations and comparison with…

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