World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
8675
World Ranking
7926
National Ranking
108

Manuel Cebrian publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Manuel Cebrian sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 138 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Manuel Cebrian D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Manuel Cebrian sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Manuel Cebrian is affiliated with Carlos III University of Madrid in Spain. Their research primarily spans across social sciences, with notable subfields in sociology and political science, statistical and nonlinear physics, economics and econometrics, epidemiology, and artificial intelligence.

Their work covers several main topics, including:

  • Opinion Dynamics and Social Influence
  • Misinformation and Its Impacts
  • Complex Network Analysis Techniques
  • COVID-19 epidemiological studies
  • COVID-19 Digital Contact Tracing
  • Data-Driven Disease Surveillance
  • Evolutionary Game Theory and Cooperation

Cebrian's recent publications include:

  • "Understanding the efficiency of social media based crisis communication during hurricane Sandy" (2020), published in International Journal of Information Management
  • "Superintelligence Cannot be Contained: Lessons from Computability Theory" (2021), published in Journal of Artificial Intelligence Research
  • "Deglobalization in a hyper-connected world" (2020), published in Palgrave Communications
  • "Universal resilience patterns in labor markets" (2021), published in Nature Communications
  • "The past, present and future of digital contact tracing" (2021), published in Nature Electronics

They frequently collaborate with several co-authors, with notable collaborators including Iyad Rahwan, Niccolò Pescetelli, Esteban Moro, Alex Rutherford, and Nick Obradovich. The frequency of collaboration with these individuals ranges from 8 to 18 joint publications.

Cebrian's work is often published in venues such as:

  • arXiv (Cornell University)
  • Scientific Reports
  • SSRN Electronic Journal
  • Applied Network Science
  • Nature Electronics

Best Publications

  • Rapid assessment of disaster damage using social media activity.

    Yury Kryvasheyeu;Yury Kryvasheyeu;Haohui Chen;Haohui Chen;Nick Obradovich;Nick Obradovich;Esteban Moro

  • Toward understanding the impact of artificial intelligence on labor

    Morgan R. Frank;David Autor;James E. Bessen;Erik Brynjolfsson;Erik Brynjolfsson

  • Time-Critical Social Mobilization

    Galen Pickard;Wei Pan;Iyad Rahwan;Iyad Rahwan;Manuel Cebrian

  • Social sensing for epidemiological behavior change

    Anmol Madan;Manuel Cebrian;David Lazer;Alex Pentland

  • Sensing the "Health State" of a Community

    A. Madan;M. Cebrian;S. Moturu;K. Farrahi

  • Cooperating with machines.

    Jacob W. Crandall;Mayada Oudah;Tennom;Fatimah Ishowo-Oloko

  • Limited communication capacity unveils strategies for human interaction

    Giovanna Miritello;Rubén Lara;Manuel Cebrian;Manuel Cebrian;Esteban Moro;Esteban Moro

  • Social media fingerprints of unemployment.

    Alejandro Llorente;Manuel Garcia-Herranz;Manuel Cebrian;Esteban Moro

  • Expecting to be HIP: Hawkes Intensity Processes for Social Media Popularity

    Marian-Andrei Rizoiu;Lexing Xie;Scott Sanner;Manuel Cebrian

  • Weather impacts expressed sentiment.

    Patrick Baylis;Nick Obradovich;Yury Kryvasheyeu;Haohui Chen

  • Reflecting on the DARPA Red Balloon Challenge

    John C. Tang;Manuel Cebrian;Nicklaus A. Giacobe;Hyun-Woo Kim

  • Performance of social network sensors during Hurricane Sandy.

    Yury Kryvasheyeu;Haohui Chen;Esteban Moro;Pascal Van Hentenryck

  • COMMON PITFALLS USING THE NORMALIZED COMPRESSION DISTANCE: WHAT TO WATCH OUT FOR IN A COMPRESSOR

    Manuel Alfonseca;Manuel Cebrián;Alfonso Ortega

  • The predictability of consumer visitation patterns

    Coco Krumme;Alejandro Llorente;Manuel Cebrian;Manuel Cebrian;Alex Sandy Pentland

  • Using Friends as Sensors to Detect Global-Scale Contagious Outbreaks

    Manuel Garcia-Herranz;Esteban Moro Egido;Manuel Cebrian;Nicholas A. Christakis

  • Modeling Dynamical Influence in Human Interaction: Using data to make better inferences about influence within social systems

    Wei Pan;Wen Dong;M. Cebrian;Taemie Kim

  • Using friends as sensors to detect planetary-scale contagious outbreaks

    Manuel Cebrian

  • The evolution of citation graphs in artificial intelligence research

    Morgan R. Frank;Dashun Wang;Manuel Cebrian;Iyad Rahwan;Iyad Rahwan

  • Small cities face greater impact from automation.

    Morgan R. Frank;Lijun Sun;Manuel Cebrian;Hyejin Youn

  • The rich club phenomenon in the classroom

    Luis M. Vaquero;Manuel Cebrian;Manuel Cebrian

  • Epidemic contact tracing via communication traces.

    Katayoun Farrahi;Rémi Emonet;Manuel Cebrian

Frequent Co-Authors

Iyad Rahwan
Iyad Rahwan Max Planck Institute for Human Development
Pascal Van Hentenryck
Pascal Van Hentenryck Georgia Institute of Technology
James H. Fowler
James H. Fowler University of California, San Diego
Lexing Xie
Lexing Xie Australian National University
Nicholas R. Jennings
Nicholas R. Jennings Loughborough University
Der-Horng Lee
Der-Horng Lee Zhejiang University
David Camacho
David Camacho Technical University of Madrid
Satish V. Ukkusuri
Satish V. Ukkusuri Purdue University West Lafayette

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