World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
4645
World Ranking
13132
National Ranking
47

Thamar Solorio 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 Thamar Solorio 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: 216 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Thamar Solorio 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 Thamar Solorio 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Thamar Solorio is affiliated with the Mohamed bin Zayed University of Artificial Intelligence in the United Arab Emirates. Their research primarily spans the field of computer science, with a focus on artificial intelligence and related subfields.

The scientist has contributed extensively to several domains within computer science, including artificial intelligence, computer vision and pattern recognition, sociology and political science, information systems, and signal processing. Their work emphasizes topics such as topic modeling, natural language processing techniques, sentiment analysis and opinion mining, text readability and simplification, hate speech and cyberbullying detection, advanced text analysis techniques, and multimodal machine learning applications.

Frequent coauthors collaborating with Thamar Solorio include Gustavo Aguilar, Shuguang Chen, Mahsa Shafaei, Franck Dernoncourt, and Nedim Lipka. These collaborations have supported research outputs across different aspects of their core interests.

The scientist has published numerous papers in various respected venues. Notable recent publications include:

  • "Gated multimodal networks," 2020, Neural Computing and Applications
  • "A Human-Centered Systematic Literature Review of the Computational Approaches for Online Sexual Risk Detection," 2021, Proceedings of the ACM on Human-Computer Interaction
  • "Data Augmentation for Cross-Domain Named Entity Recognition," 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • "Survey on Aspect Category Detection," 2022, ACM Computing Surveys
  • "Enhancing lecture video navigation with AI generated summaries," 2023, Education and Information Technologies

Thamar Solorio has a chosen publication strategy involving open repositories such as arXiv and Zenodo, alongside traditional conference and journal venues. This includes a substantial presence on arXiv, with 45 publications, and additional contributions through venues like Neural Computing and Applications, Proceedings of the ACM on Human-Computer Interaction, and the Conference on Empirical Methods in Natural Language Processing.

Best Publications

  • Overview for the First Shared Task on Language Identification in Code-Switched Data

    Unknown

  • Lexical feature based phishing URL detection using online learning

    Aaron Blum;Brad Wardman;Thamar Solorio;Gary Warner

  • Gated Multimodal Units for Information Fusion

    John Arevalo;Thamar Solorio;Manuel Montes-y-Gómez;Fabio A. González

  • Overview for the First Shared Task on Language Identification in Code-Switched Data

    Thamar Solorio;Elizabeth Blair;Suraj Maharjan;Steven Bethard

  • Not All Character N-grams Are Created Equal: A Study in Authorship Attribution

    Upendra Sapkota;Steven Bethard;Manuel Montes;Thamar Solorio

  • Convolutional Neural Networks for Authorship Attribution of Short Texts

    Prasha Shrestha;Sebastian Sierra;Fabio Gonzalez;Manuel Montes

  • SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets

    Parth Patwa;Gustavo Aguilar;Sudipta Kar;Suraj Pandey

  • Learning to Predict Code-Switching Points

    Thamar Solorio;Yang Liu

  • Part-of-Speech Tagging for English-Spanish Code-Switched Text

    Thamar Solorio;Yang Liu

  • Local Histograms of Character N-grams for Authorship Attribution

    Hugo Jair Escalante;Thamar Solorio;Manuel Montes-y-Gomez

  • A Multi-task Approach for Named Entity Recognition in Social Media Data

    Gustavo Aguilar;Suraj Maharjan;Adrian Pastor López-Monroy;Thamar Solorio

  • Gated multimodal networks

    John Arevalo;Thamar Solorio;Manuel Montes-y-Gómez;Fabio A. González

  • A Case Study of Sockpuppet Detection in Wikipedia

    Thamar Solorio;Ragib Hasan;Mainul Mizan

  • A Human-Centered Systematic Literature Review of the Computational Approaches for Online Sexual Risk Detection

    Afsaneh Razi;Seunghyun Kim;Ashwaq Alsoubai;Gianluca Stringhini

  • Exploring high-level features for detecting cyberpedophilia

    Dasha Bogdanova;Paolo Rosso;Thamar Solorio

  • Multilingual Code-switching Identification via LSTM Recurrent Neural Networks

    Younes Samih;Suraj Maharjan;Mohammed Attia;Laura Kallmeyer

  • Named Entity Recognition on Code-Switched Data: Overview of the CALCS 2018 Shared Task

    Gustavo Aguilar;Fahad AlGhamdi;Victor Soto;Mona T. Diab

  • Aggression and Misogyny Detection using BERT: A Multi-Task Approach

    Niloofar Safi Samghabadi;Parth Patwa;Srinivas Pykl;Prerana Mukherjee

  • A language independent method for question classification

    Thamar Solorio;Manuel Pérez-Coutiño;Manuel Montes-y-Gémez;Luis Villaseñor-Pineda

  • LinCE: A Centralized Benchmark for Linguistic Code-switching Evaluation

    Gustavo Aguilar;Sudipta Kar;Thamar Solorio

  • A Multi-task Approach for Named Entity Recognition in Social Media Data

    Gustavo Aguilar;Suraj Maharjan;Adrian Pastor López-Monroy;Thamar Solorio

  • Language Identification and Analysis of Code-Switched Social Media Text

    Deepthi Mave;Suraj Maharjan;Thamar Solorio

  • Overview for the Second Shared Task on Language Identification in Code-Switched Data

    Giovanni Molina;Fahad AlGhamdi;Mahmoud Ghoneim;Abdelati Hawwari

Frequent Co-Authors

Fabio A. González
Fabio A. González National University of Colombia
Manuel Montes-y-Gómez
Manuel Montes-y-Gómez National Institute of Astrophysics, Optics and Electronics
Yang Liu
Yang Liu Nanyang Technological University
Steven Bethard
Steven Bethard University of Arizona
Ted Pedersen
Ted Pedersen University of Minnesota
Mona Diab
Mona Diab Carnegie Mellon University
Paolo Rosso
Paolo Rosso Universitat Politècnica de València
Franck Dernoncourt
Franck Dernoncourt Adobe Systems (United States)
Julia Hirschberg
Julia Hirschberg Columbia University
Hugo Jair Escalante
Hugo Jair Escalante National Institute of Astrophysics, Optics and Electronics

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