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Engineering and Technology

D-Index
55
Citations
36129
World Ranking
2915
National Ranking
184

Overview

Renaud Lambiotte is affiliated with the University of Oxford in the United Kingdom. Their research spans multiple fields, predominantly in Physics and Astronomy as well as Computer Science.

Their work focuses on a range of topics including:

  • Complex Network Analysis Techniques
  • Opinion Dynamics and Social Influence
  • Topological and Geometric Data Analysis
  • Nonlinear Dynamics and Pattern Formation
  • Neural dynamics and brain function
  • Functional Brain Connectivity Studies
  • Data Visualization and Analytics

Their subfields of study comprise:

  • Statistical and Nonlinear Physics
  • Computer Networks and Communications
  • Cognitive Neuroscience
  • Computational Theory and Mathematics
  • Sociology and Political Science

Renaud Lambiotte has contributed numerous papers within frequent publication venues, including:

  • arXiv (Cornell University)
  • Physical review. E
  • Communications Physics
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Journal of Physics Complexity

Among their recent papers are:

  • "Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle" (2020, Science Advances)
  • "Socio-Spatial Properties of Online Location-Based Social Networks" (2021, Proceedings of the International AAAI Conference on Web and Social Media)
  • "Multibody interactions and nonlinear consensus dynamics on networked systems" (2020, Physical review. E)
  • "Mobile phone data and COVID-19: Missing an opportunity?" (2020, arXiv (Cornell University))
  • "Metastable oscillatory modes emerge from synchronization in the brain spacetime connectome" (2022, Communications Physics)

Their collaborations include frequent co-authors such as:

  • Yu Tian
  • Fabio Saracco
  • Morten L. Kringelbach
  • Karel Devriendt
  • Gustavo Deco

Renaud Lambiotte has also contributed to book publications, including a title in the Complexity science series:

  • A Guide to Temporal Networks (2020)

Best Publications

  • Fast unfolding of communities in large networks

    Vincent D. Blondel;Jean Loup Guillaume;Jean Loup Guillaume;Renaud Lambiotte;Renaud Lambiotte;Etienne Lefebvre

  • Fast unfolding of communities in large networks

    Vincent D. Blondel;Jean-Loup Guillaume;Jean-Loup Guillaume;Renaud Lambiotte;Renaud Lambiotte;Etienne Lefebvre

  • Modular and hierarchically modular organization of brain networks.

    David Meunier;Renaud Lambiotte;Edward T. Bullmore

  • Multirelational organization of large-scale social networks in an online world

    Michael Szell;Renaud Lambiotte;Stefan Thurner

  • A tale of many cities: universal patterns in human urban mobility.

    Anastasios Noulas;Salvatore Scellato;Renaud Lambiotte;Massimiliano Pontil

  • Hierarchical modularity in human brain functional networks.

    David Meunier;Renaud Lambiotte;Alexander Fornito;Alexander Fornito;Karen D Ersche

  • Line graphs, link partitions, and overlapping communities.

    T. S. Evans;R. Lambiotte

  • Random walks and diffusion on networks

    Naoki Masuda;Mason A. Porter;Mason A. Porter;Renaud Lambiotte

  • Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle.

    Nuria Oliver;Bruno Lepri;Harald Sterly;Renaud Lambiotte;Renaud Lambiotte

  • Socio-Spatial Properties of Online Location-Based Social Networks.

    Salvatore Scellato;Anastasios Noulas;Renaud Lambiotte;Cecilia Mascolo

  • From networks to optimal higher-order models of complex systems

    Renaud Lambiotte;Martin Rosvall;Ingo Scholtes

  • Geographical dispersal of mobile communication networks

    Renaud Lambiotte;Renaud Lambiotte;Vincent D. Blondel;Cristobald de Kerchove;Etienne Huens

  • Laplacian Dynamics and Multiscale Modular Structure in Networks

    R. Lambiotte;J. C. Delvenne;M. Barahona

  • Memory in network flows and its effects on spreading dynamics and community detection

    Martin Rosvall;Alcides V. Esquivel;Andrea Lancichinetti;Jevin D. West

  • Uncovering space-independent communities in spatial networks

    Paul Expert;Tim S. Evans;Vincent D. Blondel;Vincent D. Blondel;Renaud Lambiotte;Renaud Lambiotte

  • Random Walks, Markov Processes and the Multiscale Modular Organization of Complex Networks

    Renaud Lambiotte;Jean-Charles Delvenne;Mauricio Barahona

  • A Guide to Temporal Networks

    Naoki Masuda;Renaud Lambiotte

  • Tracking the Digital Footprints of Personality

    Renaud Lambiotte;Michal Kosinski

  • Fast unfolding of community hierarchies in large networks

    Vincent D. Blondel;Jean-Loup Guillaume;Renaud Lambiotte;Etienne Lefebvre

  • The personality of popular facebook users

    Daniele Quercia;Renaud Lambiotte;David Stillwell;Michal Kosinski

  • Dynamical exploration of the repertoire of brain networks at rest is modulated by psilocybin

    Louis-David Lord;Paul Expert;Selen Atasoy;Leor Roseman

  • The discovery of population differences in network community structure: new methods and applications to brain functional networks in schizophrenia.

    Aaron Alexander-Bloch;Renaud Lambiotte;Ben Roberts;Jay N. Giedd

  • Random Walks, Markov Processes and the Multiscale Modular Organization of Complex Networks

    Renaud Lambiotte;Jean-Charles Delvenne;Mauricio Barahona

  • A Guide to Temporal Networks, 2nd edition

    Naoki Masuda;Renaud Lambiotte

  • Random walks and diffusion on networks

    Naoki Masuda;Mason A. Porter;Mason A. Porter;Renaud Lambiotte

Frequent Co-Authors

Vincent D. Blondel
Vincent D. Blondel Université Catholique de Louvain
Martin Rosvall
Martin Rosvall Umeå University
Cecilia Mascolo
Cecilia Mascolo University of Cambridge
Mauricio Barahona
Mauricio Barahona Imperial College London
Mason A. Porter
Mason A. Porter University of California, Los Angeles
Federico E. Turkheimer
Federico E. Turkheimer King's College London
Naoki Masuda
Naoki Masuda University at Buffalo, State University of New York
Oliver D. Howes
Oliver D. Howes King's College London
Sidney Redner
Sidney Redner Santa Fe Institute
Michal Kosinski
Michal Kosinski Stanford University

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