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researcher

P. Jensen

21 papers hereh-index 222.5k citations78 works total

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

author position
  • sole author1
  • first author4
  • middle author4
  • last author12

Across the 21 of 21 papers where every author was matched, so the position is known.

fields
  • physics.soc-ph13
  • cs.SI4
  • q-fin.GN2
  • nlin.AO1
  • stat.AP1
same name
  • P. Jensen — 12 papers, h 23
  • P. Jensen — 4 papers, h 43
  • P. Jensen — 3 papers, h 9
  • P. Jensen — 2 papers, h 1
  • P. Jensen — 2 papers, h 4
  • P. Jensen — 2 papers, 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
20062020
most citedAnalysis of community structure in networks of correlated data

273 citations · 1.3k across the 21 of their papers we have counts for

collaborators
Showing cs.SIShow all

4 papers · 1 filter

cs.SI2020

Exploring and comparing temporal clustering methods

Jordan Cambe, Sebastian Grauwin, Patrick Flandrin +1

Description of temporal networks and detection of dynamic communities have been hot topics of research for the last decade. However, no consensual answers to these challenges have…

cs.SI2017★ 6 cited

Revealing evolutions in dynamical networks

Matteo Morini, Patrick Flandrin, Eric Fleury +2

The description of large temporal graphs requires effective methods giving an appropriate mesoscopic partition. Many approaches exist today to detect communities in static graphs.…

cs.SI2015★ 45 cited

Detecting global bridges in networks

Pablo Jensen, Matteo Morini, Marton Karsai +6

The identification of nodes occupying important positions in a network structure is crucial for the understanding of the associated real-world system. Usually, betweenness centrali…

cs.SI2010★ 200 cited

Characterizing the speed and paths of shared bicycles in Lyon

Pablo Jensen, Jean-Baptiste Rouquier, Nicolas Ovtracht +1

Thanks to numerical data gathered by Lyon's shared bicycling system Vélo'v, we are able to analyze 11.6 millions bicycle trips, leading to the first robust characterization of urba…

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