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Engineering and Technology

D-Index
43
Citations
11555
World Ranking
6014
National Ranking
71

Overview

Sune Lehmann is affiliated with the Technical University of Denmark in Denmark. Their research primarily spans the field of Social Sciences, with a focus on several specialized subfields including Statistical and Nonlinear Physics, Transportation, Sociology and Political Science, Modeling and Simulation, and Artificial Intelligence.

The topics that characterize their work include Complex Network Analysis Techniques, Human Mobility and Location-Based Analysis, COVID-19 epidemiological studies, Opinion Dynamics and Social Influence, COVID-19 Digital Contact Tracing, Data-Driven Disease Surveillance, and Sleep and related disorders.

Lehmann has contributed research published in various scientific venues. Frequent publication outlets include arXiv (Cornell University), Scientific Reports, Nature Computational Science, bioRxiv (Cold Spring Harbor Laboratory), and the Proceedings of the International AAAI Conference on Web and Social Media.

Recent papers authored or co-authored by Lehmann include:

  • Understanding the Demographics of Twitter Users, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle, 2020, Science Advances
  • The scales of human mobility, 2020, Nature
  • Rising temperatures erode human sleep globally, 2022, One Earth
  • Gender differences in nighttime sleep patterns and variability across the adult lifespan: a global-scale wearables study, 2020, SLEEP

Lehmann frequently collaborates with other researchers in their field. Notable co-authors include Bruno Lepri, Ciro Cattuto, Andreas Bjerre-Nielsen, Jari Saramäki, and Laura Alessandretti.

Best Publications

  • Link communities reveal multiscale complexity in networks

    Yong-Yeol Ahn;James P. Bagrow;James P. Bagrow;Sune Lehmann;Sune Lehmann

  • Understanding the Demographics of Twitter Users

    Alan Mislove;Sune Lehmann;Yong-Yeol Ahn;Jukka-Pekka Onnela

  • Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm

    Bjarke Felbo;Alan Mislove;Anders Søgaard;Iyad Rahwan

  • 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

  • Measuring large-scale social networks with high resolution.

    Arkadiusz Stopczynski;Vedran Sekara;Piotr Sapiezynski;Andrea Cuttone

  • Fundamental structures of dynamic social networks

    Vedran Sekara;Arkadiusz Stopczynski;Sune Lehmann;Sune Lehmann

  • Evidence of complex contagion of information in social media: An experiment using Twitter bots.

    Bjarke Mønsted;Piotr Sapieżyński;Emilio Ferrara;Sune Lehmann

  • Accelerating dynamics of collective attention

    Philipp Lorenz-Spreen;Bjarke Mørch Mønsted;Philipp Hövel;Philipp Hövel;Sune Lehmann;Sune Lehmann

  • The scales of human mobility

    Laura Alessandretti;Laura Alessandretti;Ulf Aslak;Ulf Aslak;Sune Lehmann;Sune Lehmann

  • Evidence for a Conserved Quantity in Human Mobility

    Laura Alessandretti;Laura Alessandretti;Piotr Sapiezynski;Vedran Sekara;Sune Lehmann;Sune Lehmann

  • The effectiveness of backward contact tracing in networks

    Sadamori Kojaku;Laurent Hébert-Dufresne;Enys Mones;Sune Lehmann;Sune Lehmann

  • Citation networks in high energy physics.

    S. Lehmann;B.E. Lautrup;A.D. Jackson

  • Tracking Human Mobility Using WiFi Signals

    Piotr Sapiezynski;Arkadiusz Stopczynski;Radu Gatej;Sune Lehmann

  • Interaction data from the Copenhagen Networks Study

    Piotr Sapiezynski;Arkadiusz Stopczynski;David Dreyer Lassen;Sune Lehmann

  • Link communities reveal multi-scale complexity in networks

    Yong-Yeol Ahn;James P. Bagrow;Sune Lehmann

  • Bi-clique Communities

    Sune Lehmann;Martin Schwartz;Lars Kai Hansen

  • The art of community detection

    Natali Gulbahce;Natali Gulbahce;Sune Lehmann;Sune Lehmann

  • Tweetin’ in the Rain: Exploring Societal-scale Effects of Weather on Mood

    Aniko Hannak;Eric Anderson;Lisa Feldman Barrett;Sune Lehmann

  • The strength of the strongest ties in collaborative problem solving.

    Yves-Alexandre de Montjoye;Arkadiusz Stopczynski;Arkadiusz Stopczynski;Erez Shmueli;Alex Pentland

  • Understanding predictability and exploration in human mobility

    Andrea Cuttone;Andrea Cuttone;Sune Lehmann;Sune Lehmann;Marta C. González;Marta C. González;Marta C. González

  • A quantitative analysis of indicators of scientific performance

    Sune Lehmann;Sune Lehmann;Andrew D. Jackson;Benny E. Lautrup

Frequent Co-Authors

Yong-Yeol Ahn
Yong-Yeol Ahn Indiana University
Alain Barrat
Alain Barrat Centre de Physique Théorique
Jari Saramäki
Jari Saramäki Aalto University
Bruno Lepri
Bruno Lepri Fondazione Bruno Kessler
Marta C. González
Marta C. González University of California, Berkeley
Andrea Baronchelli
Andrea Baronchelli City, University of London
Alan Mislove
Alan Mislove Northeastern University
Stan Matwin
Stan Matwin Dalhousie University
Nuria Oliver
Nuria Oliver European Laboratory for Learning and Intelligent Systems

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