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Computer Science
Portugal
2025

Fernando Pereira 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 Fernando Pereira 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+

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

Fernando Pereira 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 Fernando Pereira 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+

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

Research.com Recognitions

  • 2025 - Research.com Computer Science in Portugal Leader Award

Overview

Fernando Pereira is affiliated with Instituto Superior Técnico in Portugal and has contributed extensively to the fields of computer science and engineering, with a strong focus on computer vision, computational mechanics, and computer graphics. Their research spans multiple interdisciplinary areas, including 3D shape modeling and analysis, advanced imaging techniques, and remote sensing applications.

The primary fields of study covered by Pereira's work are:

  • Computer Science
  • Engineering

Within these areas, their research includes subfields such as:

  • Computer Vision and Pattern Recognition
  • Computational Mechanics
  • Computer Graphics and Computer-Aided Design
  • Geology
  • Environmental Engineering

The topics most frequently addressed in Pereira's publications include:

  • 3D Shape Modeling and Analysis
  • Advanced Vision and Imaging
  • Computer Graphics and Visualization Techniques
  • 3D Surveying and Cultural Heritage
  • Remote Sensing and LiDAR Applications
  • Video Coding and Compression Technologies
  • Advanced Image and Video Retrieval Techniques

Fernando Pereira's recent papers, illustrating their contributions to multimedia and signal processing, are:

  • Point Cloud Rendering After Coding: Impacts on Subjective and Objective Quality, 2020, IEEE Transactions on Multimedia
  • Adaptive Deep Learning-Based Point Cloud Geometry Coding, 2020, IEEE Journal of Selected Topics in Signal Processing
  • Mahalanobis Based Point to Distribution Metric for Point Cloud Geometry Quality Evaluation, 2020, IEEE Signal Processing Letters
  • Lenslet Light Field Image Coding: Classifying, Reviewing and Evaluating, 2020, IEEE Transactions on Circuits and Systems for Video Technology
  • Joint Geometry and Color Projection-Based Point Cloud Quality Metric, 2022, IEEE Access

Frequent coauthors collaborate with Pereira on multiple projects, indicating sustained research partnerships. These include:

  • André F. R. Guarda
  • Nuno M. M. Rodrigues
  • João Ascenso
  • Ahmed H. Tewfik
  • Athina P. Petropulu

Pereira's research has appeared in a range of publication venues, demonstrating engagement with both journals and conference proceedings. The venues with the highest number of publications include:

  • IEEE Journal of Selected Topics in Signal Processing
  • arXiv (Cornell University)
  • IEEE Access
  • IEEE Transactions on Multimedia
  • Proceedings of the 26th International Congress of Mechanical Engineering

Best Publications

  • A theory of learning from different domains

    Shai Ben-David;John Blitzer;Koby Crammer;Alex Kulesza

  • The Unreasonable Effectiveness of Data

    A. Halevy;P. Norvig;F. Pereira

  • Shallow parsing with conditional random fields

    Fei Sha;Fernando Pereira

  • Domain Adaptation with Structural Correspondence Learning

    John Blitzer;Ryan McDonald;Fernando Pereira

  • DISTRIBUTIONAL CLUSTERING OF ENGLISH WORDS

    Fernando Pereira;Naftali Tishby;Lillian Lee

  • Video coding with H.264/AVC: tools, performance, and complexity

    J. Ostermann;J. Bormans;P. List;D. Marpe

  • Weighted finite-state transducers in speech recognition

    Mehryar Mohri;Fernando Pereira;Michael Riley

  • Non-Projective Dependency Parsing using Spanning Tree Algorithms

    Ryan McDonald;Fernando Pereira;Kiril Ribarov;Jan Hajic

  • Online Large-Margin Training of Dependency Parsers

    Ryan McDonald;Koby Crammer;Fernando Pereira

  • Qualinet White Paper on Definitions of Quality of Experience

    Kjell Brunnström;Sergio Ariel Beker;Katrien de Moor;Ann Dooms

  • The MPEG-4 Book

    Fernando C. Pereira;Touradj Ebrahimi

  • INSIDE-OUTSIDE REESTIMATION FROM PARTIALLY BRACKETED CORPORA

    Fernando Pereira;Yves Schabes

  • IMPROVING FRAME INTERPOLATION WITH SPATIAL MOTION SMOOTHING FOR PIXEL DOMAIN DISTRIBUTED VIDEO CODING

    João Ascenso;Catarina Brites;Fernando Pereira

  • Confidence-weighted linear classification

    Mark Dredze;Koby Crammer;Fernando Pereira

  • MPEG-7: the generic multimedia content description standard, part 1

    J.M. Martinez;R. Koenen;F. Pereira

  • Prolog - the language and its implementation compared with Lisp

    David H D Warren;Luis M. Pereira;Fernando Pereira

  • Speech Recognition with Weighted Finite-State Transducers

    Mehryar Mohri;Fernando C. N. Pereira;Michael Riley

  • Multilingual Dependency Analysis with a Two-Stage Discriminative Parser

    Ryan McDonald;Kevin Lerman;Fernando Pereira

  • Correlation Noise Modeling for Efficient Pixel and Transform Domain Wyner–Ziv Video Coding

    C. Brites;F. Pereira

  • MPEG-21: goals and achievements

    I. Burnett;R. Van de Walle;K. Hill;J. Bormans

  • Improving Transform Domain Wyner-Ziv Video Coding Performance

    C. Brites;J. Ascenso;F. Pereira

  • Content Adaptive Wyner-ZIV Video Coding Driven by Motion Activity

    J. Ascenso;C. Brites;F. Pereira

  • The MPEG-21 Book

    Ian S. Burnett;Fernando Pereira;Rik Van de Walle;Rob Koenen

  • Universal multimedia experiences for tomorrow

    F. Pereira;I. Burnett

  • Distributed Monoview and Multiview Video Coding

    C. Guillemot;F. Pereira;L. Torres;T. Ebrahimi

  • JPEG Pleno: Toward an Efficient Representation of Visual Reality

    Touradj Ebrahimi;Siegfried Foessel;Fernando Pereira;Peter Schelkens

  • Motion compensated refinement for low complexity pixel based distributed video coding

    J. Ascenso;C. Brites;F. Pereira

  • Encoder Rate Control for Transform Domain Wyner-Ziv Video Coding

    C. Brites;F. Pereira

  • Objective evaluation of video segmentation quality

    P.L. Correia;F. Pereira

  • MPEG-4: Context and objectives

    Rob Koenen;Fernando Pereira;Leonardo Chiariglione

  • MPEG-4 facial animation technology: survey, implementation, and results

    G.A. Abrantes;F. Pereira

  • Refining Side Information for Improved Transform Domain Wyner-Ziv Video Coding

    R. Martins;C. Brites;J. Ascenso;F. Pereira

  • Distributed video coding: Selecting the most promising application scenarios

    Fernando Pereira;Luis Torres;Christine Guillemot;Touradj Ebrahimi

  • Studying Temporal Correlation Noise Modeling for Pixel Based Wyner-Ziv Video Coding

    Catarina Brites;Joao Ascenso;Fernando Pereira

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