◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

L. Lacasa

62 papers hereh-index 305k citations104 works total

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

author position
  • sole author2
  • first author18
  • middle author22
  • last author17

Across the 59 of 62 papers where every author was matched, so the position is known.

fields
  • physics.soc-ph19
  • physics.data-an15
  • nlin.CD7
  • cond-mat.stat-mech5
  • math.NT3
  • cs.IR2
same name
  • L. Lacasa — 2 papers, h 3

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
20052026
most citedFrom time series to complex networks: the visibility graph

1.8k citations · 3.5k across the 58 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

physics.data-an2017

A combinatorial framework to quantify peak/pit asymmetries in complex dynamics

Uri Hasson, Jacopo Iacovacci, Ben Davis +4

We explore a combinatorial framework which efficiently quantifies the asymmetries between minima and maxima in local fluctuations of time series. We firstly showcase its performanc…

physics.soc-ph2017★ 29 cited

Multiplex decomposition of non-Markovian dynamics and the hidden layer reconstruction problem

Lucas Lacasa, Inés P. Mariño, Joaquín Miguez +5

Elements composing complex systems usually interact in several different ways and as such the interaction architecture is well modelled by a multiplex network. However often this a…

nlin.CD2017★ 41 cited

Visibility graphs and symbolic dynamics

Lucas Lacasa, Wolfram Just

Visibility algorithms are a family of geometric and ordering criteria by which a real-valued time series of N data is mapped into a graph of N nodes. This graph has been shown to o…

physics.data-an2017★ 37 cited

Visibility graphs of random scalar fields and spatial data

Lucas Lacasa, Jacopo Iacovacci

The family of visibility algorithms were recently introduced as mappings between time series and graphs. Here we extend this method to characterize spatially extended data structur…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.