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M. Danisch

4 papers hereh-index 10532 citations31 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-nn1
  • cond-mat.soft1
  • cs.DS1
  • cs.SI1
same name
  • M. Danisch — 21 papers, h 49
  • M. Danisch — 1 paper, h 5

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
20102022
most citedModel of random packings of different size balls

61 citations · 72 across the 4 of their papers we have counts for

collaborators

4 papers

cs.SI2022

Compressing bipartite graphs with a dual reordering scheme

Maximilien Danisch, Ioannis Panagiotas, Lionel Tabourier

In order to manage massive graphs in practice, it is often necessary to resort to graph compression, which aims at reducing the memory used when storing and processing the graph. E…

cs.DS2021★ 7 cited

Clique percolation method: memory efficient almost exact communities

Alexis Baudin, Maximilien Danisch, Sergey Kirgizov +2

Automatic detection of relevant groups of nodes in large real-world graphs, i.e. community detection, has applications in many fields and has received a lot of attention in the las…

cond-mat.soft2011★ 4 cited

Calculation of the Voronoi boundary for lens-shaped particles and spherocylinders

Louis Portal, Maximilien Danisch, Adrian Baule +2

We have recently developed a mean-field theory to estimate the packing fraction of non-spherical particles [A. Baule et al., Nature Commun. (2013)]. The central quantity in this fr…

cond-mat.dis-nn2010★ 61 cited

Model of random packings of different size balls

Maximilien Danisch, Yuliang Jin, Hernan A. Makse

We develop a model to describe the properties of random assemblies of polydisperse hard spheres. We show that the key features to describe the system are (i) the dependence between…

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