World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
12710
World Ranking
5795
National Ranking
19

Luiz S. Oliveira 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 Luiz S. Oliveira 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: 214 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Luiz S. Oliveira 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 Luiz S. Oliveira 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: 49 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Overview

Luiz S. Oliveira is affiliated with the Federal University of Paraná in Brazil. Their research primarily focuses on computer science, with significant contributions in the subfields of artificial intelligence, computer vision and pattern recognition, radiology, nuclear medicine and imaging, control and systems engineering, and organic chemistry.

The main topics addressed in their work include handwritten text recognition techniques, radiomics and machine learning in medical imaging, AI applications in cancer detection, wood and agarwood research, anomaly detection techniques and applications, natural language processing techniques, and COVID-19 diagnosis using AI.

Recent publications authored or coauthored by Luiz S. Oliveira include:

  • Impact of Lung Segmentation on the Diagnosis and Explanation of COVID-19 in Chest X-ray Images, 2021, MDPI (MDPI AG)
  • Machine Learning Methods for Histopathological Image Analysis: A Review, 2021, MDPI (MDPI AG)
  • An automatic recognition system of Brazilian flora species based on textural features of macroscopic images of wood, 2020, Wood Science and Technology
  • Towards Amazon Forest Restoration: Automatic Detection of Species from UAV Imagery, 2021, Remote Sensing
  • Fast & Furious: On the modelling of malware detection as an evolving data stream, 2022, Expert Systems with Applications

Frequent coauthors collaborating with Luiz S. Oliveira include George D. C. Cavalcanti, Diego Bertolini, Yandre M. G. Costa, Alceu S. Britto, and Lucas Teixeira.

The scholar often publishes in venues such as Zenodo (CERN European Organization for Nuclear Research), TUGraz OPEN Library (Graz University of Technology), arXiv (Cornell University), Neural Computing and Applications, and MDPI (MDPI AG).

Best Publications

  • A Dataset for Breast Cancer Histopathological Image Classification

    Fabio A. Spanhol;Luiz S. Oliveira;Caroline Petitjean;Laurent Heutte

  • Breast cancer histopathological image classification using Convolutional Neural Networks

    Fabio Alexandre Spanhol;Luiz S. Oliveira;Caroline Petitjean;Laurent Heutte

  • A Robust Real-Time Automatic License Plate Recognition Based on the YOLO Detector

    Rayson Laroca;Evair Severo;Luiz A. Zanlorensi;Luiz S. Oliveira

  • Learning features for offline handwritten signature verification using deep convolutional neural networks

    Luiz G. Hafemann;Robert Sabourin;Luiz S. Oliveira

  • Dynamic selection of classifiers-A comprehensive review

    Alceu S. Britto;Alceu S. Britto;Robert Sabourin;Luiz E. S. Oliveira

  • Multiple instance learning for histopathological breast cancer image classification

    P. J. Sudharshan;Caroline Petitjean;Fabio A. Spanhol;Luiz Eduardo Soares de Oliveira

  • PKLot – A robust dataset for parking lot classification

    Paulo R.L. de Almeida;Luiz S. Oliveira;Alceu S. Britto;Eunelson J. Silva

  • Deep features for breast cancer histopathological image classification

    Fabio A. Spanhol;Luiz S. Oliveira;Paulo R. Cavalin;Caroline Petitjean

  • Automatic recognition of handwritten numerical strings: a recognition and verification strategy

    L.S. Oliveira;R. Sabourin;F. Bortolozzi;C.Y. Suen

  • An evaluation of Convolutional Neural Networks for music classification using spectrograms

    Yandre M.G. Costa;Luiz S. Oliveira;Carlos N. Silla

  • Reducing forgeries in writer-independent off-line signature verification through ensemble of classifiers

    D. Bertolini;L. S. Oliveira;E. Justino;R. Sabourin

  • Offline handwritten signature verification — Literature review

    Luiz G. Hafemann;Robert Sabourin;Luiz S. Oliveira

  • Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses

    Jerome Rony;Luiz G. Hafemann;Luiz S. Oliveira;Ismail Ben Ayed

  • A METHODOLOGY FOR FEATURE SELECTION USING MULTIOBJECTIVE GENETIC ALGORITHMS FOR HANDWRITTEN DIGIT STRING RECOGNITION

    Luiz E. Soares de Oliveira;Robert Sabourin;Flávio Bortolozzi;Ching Y. Suen

  • Texture-based descriptors for writer identification and verification

    D. Bertolini;L.S. Oliveira;E. Justino;R. Sabourin

  • Music genre classification using LBP textural features

    Y. M. G. Costa;L. S. Oliveira;A. L. Koerich;F. Gouyon

  • Writer-independent feature learning for Offline Signature Verification using Deep Convolutional Neural Networks

    Luiz G. Hafemann;Robert Sabourin;Luiz S. Oliveira

  • Fusion of feature sets and classifiers for facial expression recognition

    Thiago H. H. Zavaschi;Alceu S. Britto;Luiz E. S. Oliveira;Alessandro L. Koerich

  • Feature selection using multi-objective genetic algorithms for handwritten digit recognition

    L.S. Oliveira;R. Sabourin;F. Bortolozzi;C.Y. Suen

  • Toward a reliable anomaly-based intrusion detection in real-world environments

    Eduardo Viegas;Altair Olivo Santin;Luiz S. Oliveira

  • Reconstructing shredded documents through feature matching

    Edson Justino;Luiz S. Oliveira;Cinthia Freitas

  • Forest Species Recognition Using Deep Convolutional Neural Networks

    Luiz G. Hafemann;Luiz S. Oliveira;Paulo Cavalin

Frequent Co-Authors

Robert Sabourin
Robert Sabourin École de Technologie Supérieure
Alessandro L. Koerich
Alessandro L. Koerich École de Technologie Supérieure
Ching Y. Suen
Ching Y. Suen Concordia University
Eric Granger
Eric Granger École de Technologie Supérieure
William Robson Schwartz
William Robson Schwartz Universidade Federal de Minas Gerais
Claudio Da Cunha
Claudio Da Cunha Federal University of Paraná
Ismail Ben Ayed
Ismail Ben Ayed École de Technologie Supérieure
Reza Nejabati
Reza Nejabati University of Bristol
Albert Bifet
Albert Bifet University of Waikato
Paul Honeine
Paul Honeine University of Rouen

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