World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
11555
World Ranking
6016
National Ranking
71

Sune Lehmann publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Sune Lehmann sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 125 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Sune Lehmann D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Sune Lehmann sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 43 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

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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