World's Best Scientists 2026 revealed!
Daniele Quercia

Daniele Quercia

D-Index & Metrics

Engineering and Technology

D-Index
46
Citations
9085
World Ranking
5117
National Ranking
1455

Daniele Quercia 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 Daniele Quercia 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: 199 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Daniele Quercia 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 Daniele Quercia 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: 46 D-Index — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Overview

Daniele Quercia is affiliated with Nokia Bell Labs in the United States. Their research mostly falls under the broad field of Social Sciences, with a particular focus on Sociology and Political Science, Transportation, Safety Research, Artificial Intelligence, and Statistical and Nonlinear Physics.

The scientist's work covers several main topics, including:

  • Ethics and Social Impacts of AI
  • Human Mobility and Location-Based Analysis
  • Misinformation and Its Impacts
  • Opinion Dynamics and Social Influence
  • Social Media and Politics
  • Mental Health via Writing
  • Urban Transport and Accessibility

Daniele Quercia has contributed extensively to several publication venues. The most frequent include:

  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Proceedings of the ACM on Human-Computer Interaction
  • EPJ Data Science
  • Harvard Dataverse

Among the recent papers authored or co-authored by Daniele Quercia are:

  • The Social World of Twitter: Topics, Geography, and Emotions (2021), Proceedings of the International AAAI Conference on Web and Social Media
  • Smelly Maps: The Digital Life of Urban Smellscapes (2021), Proceedings of the International AAAI Conference on Web and Social Media

Frequent collaborators in Daniele Quercia's research include:

  • Marios Constantinides
  • Sanja Šćepanović
  • Luca Maria Aiello
  • Edyta P. Bogucka
  • Sagar Joglekar

The scientist's work often addresses interdisciplinary and socially relevant themes, integrating methods and insights from artificial intelligence, social media analysis, and urban studies. The research outputs contribute to understanding complex social phenomena such as emotions on social platforms, urban sensory experiences, and the ethical and societal implications of AI technologies.

Best Publications

  • Our Twitter Profiles, Our Selves: Predicting Personality with Twitter

    Daniele Quercia;Michal Kosinski;David Stillwell;Jon Crowcroft

  • The shortest path to happiness: recommending beautiful, quiet, and happy routes in the city

    Daniele Quercia;Rossano Schifanella;Luca Maria Aiello

  • Auralist: introducing serendipity into music recommendation

    Yuan Cao Zhang;Diarmuid Ó Séaghdha;Daniele Quercia;Tamas Jambor

  • Who Benefits from the "Sharing" Economy of Airbnb?

    Giovanni Quattrone;Davide Proserpio;Daniele Quercia;Licia Capra

  • Recommending Social Events from Mobile Phone Location Data

    Daniele Quercia;Neal Lathia;Francesco Calabrese;Giusy Di Lorenzo

  • The personality of popular facebook users

    Daniele Quercia;Renaud Lambiotte;David Stillwell;Michal Kosinski

  • The Death and Life of Great Italian Cities: A Mobile Phone Data Perspective

    Marco De Nadai;Jacopo Staiano;Roberto Larcher;Nicu Sebe

  • Aesthetic capital: what makes london look beautiful, quiet, and happy?

    Daniele Quercia;Neil Keith O'Hare;Henriette Cramer

  • Tracking "gross community happiness" from tweets

    Daniele Quercia;Jonathan Ellis;Licia Capra;Jon Crowcroft

  • Chatty maps: constructing sound maps of urban areas from social media data.

    Luca Maria Aiello;Rossano Schifanella;Daniele Quercia;Francesco Aletta

  • StakeNet: using social networks to analyse the stakeholders of large-scale software projects

    Soo Ling Lim;Daniele Quercia;Anthony Finkelstein

  • Smelly Maps: The Digital Life of Urban Smellscapes

    Daniele Quercia;Rossano Schifanella;Luca Maria Aiello;Kate McLean

  • TweetLDA: supervised topic classification and link prediction in Twitter

    Daniele Quercia;Harry Askham;Jon Crowcroft

  • The Social World of Twitter: Topics, Geography, and Emotions

    Daniele Quercia;Licia Capra;Jon Crowcroft

  • B-Trust: bayesian trust framework for pervasive computing

    Daniele Quercia;Stephen Hailes;Licia Capra

  • In the Mood for Being Influential on Twitter

    Daniele Quercia;Jonathan Ellis;Licia Capra;Jon Crowcroft

  • FriendSensing: recommending friends using mobile phones

    Daniele Quercia;Licia Capra

  • Dawn of the Selfie Era: The Whos, Wheres, and Hows of Selfies on Instagram

    Flávio Souza;Diego de Las Casas;Vinícius Flores;SunBum Youn

  • Urban Computing Leveraging Location-Based Social Network Data: A Survey

    Thiago H. Silva;Aline Carneiro Viana;Fabrício Benevenuto;Leandro Villas

  • Recommending investors for crowdfunding projects

    Jisun An;Daniele Quercia;Jon Crowcroft

  • Sybil Attacks Against Mobile Users: Friends and Foes to the Rescue

    Daniele Quercia;Stephen Hailes

Frequent Co-Authors

Licia Capra
Licia Capra University College London
Jon Crowcroft
Jon Crowcroft University of Cambridge
Stephen Hailes
Stephen Hailes University College London
Francesco Bonchi
Francesco Bonchi Institute for Scientific Interchange
Ilias Leontiadis
Ilias Leontiadis Facebook (United States)
Meeyoung Cha
Meeyoung Cha Korea Advanced Institute of Science and Technology
Virgilio Almeida
Virgilio Almeida Universidade Federal de Minas Gerais
Cecilia Mascolo
Cecilia Mascolo University of Cambridge
Mirco Musolesi
Mirco Musolesi University College London
Vito Latora
Vito Latora Queen Mary University of London

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