World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
16318
World Ranking
4467
National Ranking
15

Fabrício Benevenuto 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 Fabrício Benevenuto 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: 187 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Fabrício Benevenuto 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 Fabrício Benevenuto 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Fabrício Benevenuto is affiliated with Universidade Federal de Minas Gerais in Brazil and has a significant research output in the fields of Computer Science and Social Sciences. Their work intersects various subfields including Sociology and Political Science, Artificial Intelligence, Information Systems, Communication, and Signal Processing.

Their research focuses primarily on topics such as misinformation and its impacts, spam and phishing detection, hate speech and cyberbullying detection, social media and politics, sentiment analysis and opinion mining, internet traffic analysis and secure e-voting, and digital marketing and social media.

Fabrício Benevenuto has contributed to multiple publications, including:

  • Analyzing the Targets of Hate in Online Social Media (2021), Proceedings of the International AAAI Conference on Web and Social Media
  • The Many Shades of Anonymity: Characterizing Anonymous Social Media Content (2021), Proceedings of the International AAAI Conference on Web and Social Media
  • Tackling misinformation: What researchers could do with social media data (2020), Harvard Kennedy School Misinformation Review
  • A Dataset of Fact-Checked Images Shared on WhatsApp During the Brazilian and Indian Elections (2020), Proceedings of the International AAAI Conference on Web and Social Media
  • iFeel 2.0: A Multilingual Benchmarking System for Sentence-Level Sentiment Analysis (2021), Proceedings of the International AAAI Conference on Web and Social Media

Frequent co-authors with whom Fabrício Benevenuto has collaborated include:

  • Júlio C. S. Reis
  • Philipe Melo
  • Jussara M. Almeida
  • Francielle Vargas
  • Thiago Alexandre Salgueiro Pardo

In terms of publication venues, Fabrício Benevenuto has contributed extensively to:

  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Social Network Analysis and Mining
  • Harvard Kennedy School Misinformation Review

Best Publications

  • Measuring User Influence in Twitter: The Million Follower Fallacy

    Meeyoung Cha;Hamed Haddadi;Fabr´ıcio Benevenuto;Krishna P. Gummadi

  • Characterizing user behavior in online social networks

    Fabrício Benevenuto;Tiago Rodrigues;Meeyoung Cha;Virgílio Almeida

  • Comparing and combining sentiment analysis methods

    Pollyanna Gonçalves;Matheus Araújo;Fabrício Benevenuto;Meeyoung Cha

  • SentiBench - a benchmark comparison of state-of-the-practice sentiment analysis methods

    Filipe N Ribeiro;Filipe N Ribeiro;Matheus Araújo;Pollyanna Gonçalves;Marcos André Gonçalves

  • Understanding and combating link farming in the twitter social network

    Saptarshi Ghosh;Bimal Viswanath;Farshad Kooti;Naveen Kumar Sharma

  • Supervised Learning for Fake News Detection

    Julio C. S. Reis;Andre Correia;Fabricio Murai;Adriano Veloso

  • A Measurement Study of Hate Speech in Social Media

    Mainack Mondal;Leandro Araújo Silva;Fabrício Benevenuto

  • The tube over time: characterizing popularity growth of youtube videos

    Flavio Figueiredo;Fabrício Benevenuto;Jussara M. Almeida

  • Analyzing the Targets of Hate in Online Social Media

    Leandro Araújo Silva;Mainack Mondal;Denzil Correa;Fabrício Benevenuto

  • Dengue surveillance based on a computational model of spatio-temporal locality of Twitter

    Janaína Gomide;Adriano Veloso;Wagner Meira;Virgílio Almeida

  • Detecting spammers and content promoters in online video social networks

    Fabrício Benevenuto;Tiago Rodrigues;Virgílio Almeida;Jussara Almeida

  • Cognos: crowdsourcing search for topic experts in microblogs

    Saptarshi Ghosh;Naveen Sharma;Fabricio Benevenuto;Niloy Ganguly

  • (Mis)Information Dissemination in WhatsApp: Gathering, Analyzing and Countermeasures

    Gustavo Resende;Philipe Melo;Hugo Sousa;Johnnatan Messias

  • The World of Connections and Information Flow in Twitter

    Meeyoung Cha;F. Benevenuto;H. Haddadi;K. Gummadi

  • Phi.sh/$oCiaL: the phishing landscape through short URLs

    Sidharth Chhabra;Anupama Aggarwal;Fabricio Benevenuto;Ponnurangam Kumaraguru

  • Analyzing the Dynamic Evolution of Hashtags on Twitter: a Language-Based Approach

    Evandro Cunha;Gabriel Magno;Giovanni Comarela;Virgilio Almeida

  • Reverse Engineering Socialbot Infiltration Strategies in Twitter

    Carlos Freitas;Fabricio Benevenuto;Saptarshi Ghosh;Adriano Veloso

  • On word-of-mouth based discovery of the web

    Tiago Rodrigues;Fabrício Benevenuto;Meeyoung Cha;Krishna Gummadi

  • Characterizing user navigation and interactions in online social networks

    Fabrício Benevenuto;Tiago Rodrigues;Meeyoung Cha;Virgílio Almeida

  • You followed my bot! Transforming robots into influential users in Twitter

    Johnnatan Messias;Lucas Schmidt;Ricardo Augusto Rabelo de Oliveira;Fabrício Rodrigues Benevenuto

  • Detecting Spammers and Content Promoters in Online Video Social Networks

    Fabricio Benevenuto;Tiago Rodrigues;Jussara Almeida;Marcos Goncalves

  • A Benchmark Comparison of State-of-the-Practice Sentiment Analysis Methods.

    Filipe Nunes Ribeiro;Matheus Araújo;Pollyanna Gonçalves;Fabrício Benevenuto

Frequent Co-Authors

Jussara M. Almeida
Jussara M. Almeida Universidade Federal de Minas Gerais
Virgilio Almeida
Virgilio Almeida Universidade Federal de Minas Gerais
Marcos André Gonçalves
Marcos André Gonçalves Universidade Federal de Minas Gerais
Krishna P. Gummadi
Krishna P. Gummadi Max Planck Institute for Software Systems
Meeyoung Cha
Meeyoung Cha Korea Advanced Institute of Science and Technology
Saptarshi Ghosh
Saptarshi Ghosh Indian Institute of Technology Kharagpur
Adriano Veloso
Adriano Veloso Universidade Federal de Minas Gerais
Alberto H. F. Laender
Alberto H. F. Laender Universidade Federal de Minas Gerais
Niloy Ganguly
Niloy Ganguly Indian Institute of Technology Kharagpur
Keith W. Ross
Keith W. Ross New York University

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