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researcher

J. Gleeson

61 papers hereh-index 408.8k citations181 works total

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

author position
  • sole author4
  • first author11
  • middle author22
  • last author23

Across the 60 of 61 papers where every author was matched, so the position is known.

fields
  • physics.soc-ph39
  • cond-mat.dis-nn6
  • cond-mat.stat-mech6
  • nlin.AO3
  • cs.SI2
  • cond-mat.soft1
same name
  • J. Gleeson — 10 papers, h 30
  • J. Gleeson — 7 papers, h 3
  • J. Gleeson — 1 paper, h 1

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
20032023
most citedMultilayer Networks

3.2k citations · 5.9k across the 54 of their papers we have counts for

collaborators
Showing 2016 · physics.soc-phShow all

4 papers · 2 filters

physics.soc-ph2016★ 52 cited

Temporal profiles of avalanches on networks

James P Gleeson, Rick Durrett

An avalanche or cascade occurs when one event causes one or more subsequent events, which in turn may cause further events in a chain reaction. Avalanching dynamics are studied in…

physics.soc-ph2016★ 24 cited

A framework for analyzing contagion in assortative banking networks

Thomas R. Hurd, James P. Gleeson, Sergey Melnik

We introduce a probabilistic framework that represents stylized banking networks with the aim of predicting the size of contagion events. Most previous work on random financial net…

physics.soc-ph2016★ 4 cited

Simple and accurate analytical calculation of shortest path lengths

Sergey Melnik, James P. Gleeson

We present an analytical approach to calculating the distribution of shortest paths lengths (also called intervertex distances, or geodesic paths) between nodes in unweighted undir…

physics.soc-ph2016★ 98 cited

The limitations of discrete-time approaches to continuous-time contagion dynamics

Peter G. Fennell, Sergey Melnik, James P. Gleeson

Continuous-time Markov process models of contagions are widely studied, not least because of their utility in predicting the evolution of real-world contagions and in formulating c…

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