World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
60
Citations
12413
World Ranking
3282
National Ranking
1590

Dinei Florencio 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 Dinei Florencio 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: 201 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Dinei Florencio 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 Dinei Florencio 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: 60 D-Index — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2016 - IEEE Fellow For contributions to statistical and signal processing approaches to adversarial and security problems

Overview

Dinei Florencio is a researcher affiliated with Microsoft in the United States. Their work encompasses areas within computer science, with a particular focus on computer vision and pattern recognition, artificial intelligence, and specialized fields involving multimodal machine learning and media technology.

Their recent publications cover a range of topics centered on optical character recognition, multilingual document understanding, and multimodal pre-training approaches. Notable papers include:

  • TrOCR: Transformer-Based Optical Character Recognition with Pre-trained Models, 2023, Proceedings of the AAAI Conference on Artificial Intelligence
  • TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models, 2021, arXiv (Cornell University)
  • XFUND: A Benchmark Dataset for Multilingual Visually Rich Form Understanding, 2022, Findings of the Association for Computational Linguistics: ACL 2022
  • LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding, 2020, arXiv (Cornell University)
  • LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding, 2021, arXiv (Cornell University)

Frequent co-authors collaborating with Dinei Florencio include:

  • Cha Zhang
  • Yijuan Lu
  • Tengchao Lv
  • Furu Wei
  • Guoxin Wang

Florencio's research is regularly published in venues such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, Findings of the Association for Computational Linguistics: ACL 2022, and the 2022 26th International Conference on Pattern Recognition (ICPR).

The main scientific domains of their work include:

  • Computer Science

With more detailed subfields reflecting the scope of their studies:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Media Technology
  • Computer Graphics and Computer-Aided Design

Key research topics addressed by Florencio encompass:

  • Handwritten Text Recognition Techniques
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Image Processing and 3D Reconstruction
  • Topic Modeling
  • Advanced Image and Video Retrieval Techniques
  • Vehicle License Plate Recognition

In 2016, Florencio was recognized as an IEEE Fellow for contributions to statistical and signal processing approaches related to adversarial and security problems.

Best Publications

  • A large-scale study of web password habits

    Dinei Florencio;Cormac Herley

  • Improved spread spectrum: a new modulation technique for robust watermarking

    H.S. Malvar;D.A.F. Florencio

  • LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding

    Yang Xu;Yiheng Xu;Tengchao Lv;Lei Cui

  • Context-based routing in multi-hop networks

    Yunnan Wu;Saumitra M. Das;Ranveer Chandra;Dinei Florencio

  • Maximum Likelihood Sound Source Localization and Beamforming for Directional Microphone Arrays in Distributed Meetings

    Cha Zhang;D. Florencio;D.E. Ba;Zhengyou Zhang

  • Attack resistant phishing detection

    Dinei A. Florencio;Cormac E. Herley

  • Speech dereverberation via maximum-kurtosis subband adaptive filtering

    B.W. Gillespie;H.S. Malvar;D.A.F. Florencio

  • Noise Reduction Systems and Methods for Voice Applications

    Ankur Varma;Dinei A. Florencio

  • CROWDMOS: An approach for crowdsourcing mean opinion score studies

    Flavio Ribeiro;Dinei Florencio;Cha Zhang;Michael Seltzer

  • Point cloud attribute compression with graph transform

    Cha Zhang;Dinei Florencio;Charles Loop

  • METHOD AND DEVICE FOR INCORPORATING WATERMARK IN BIT STREAM REPRESENTATION OF DIGITAL IMAGE SEQUENCE

    Florencio Dinei A;Isnardi Michael A

  • Where do security policies come from

    Dinei Florêncio;Cormac Herley

  • Decision-based median filter using local signal statistics

    Dinei A. F. Florencio;Ronald W. Schafer

  • An administrator's guide to internet password research

    Dinei Florêncio;Cormac Herley;Paul C. Van Oorschot

  • Do strong web passwords accomplish anything

    Dinei Florêncio;Cormac Herley;Baris Coskun

  • Why does PHAT work well in lownoise, reverberative environments?

    Cha Zhang;D. Florencio;Zhengyou Zhang

  • Method and apparatus for resizing image information

    Shipeng Li;Keren Hu;Dinei Afonso Ferreira Florencio

  • SYSTEM AND METHOD FOR PROVIDING HIGH-QUALITY EXPANSION AND COMPRESSION OF DIGITAL AUDIO SIGNAL

    Florencio Dinei A;Chou Philip A;He Li-Wei

  • Password portfolios and the finite-effort user: sustainably managing large numbers of accounts

    Dinei Florêncio;Cormac Herley;Paul C. Van Oorschot

  • Speech Enhancement In Multiple-Noise Conditions using Deep Neural Networks

    Anurag Kumar;Dinei A. F. Florêncio

  • Crowdsourcing subjective image quality evaluation

    Flavio Ribeiro;Dinei Florencio;Vitor Nascimento

Frequent Co-Authors

Cha Zhang
Cha Zhang Microsoft (United States)
Cormac Herley
Cormac Herley Microsoft (United States)
Philip A. Chou
Philip A. Chou Google (United States)
Zhengyou Zhang
Zhengyou Zhang Tencent (China)
Gene Cheung
Gene Cheung York University
Yong Rui
Yong Rui Lenovo (China)
Oscar C. Au
Oscar C. Au Hong Kong University of Science and Technology
Henrique S. Malvar
Henrique S. Malvar Microsoft (United States)
Jin Li
Jin Li Microsoft (United States)

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