World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
3633
World Ranking
13267
National Ranking
512

Alessandro L. Koerich 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 Alessandro L. Koerich 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: 208 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Alessandro L. Koerich 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 Alessandro L. Koerich 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

Alessandro L. Koerich is affiliated with the École de Technologie Supérieure in Canada. Their research primarily spans the field of Computer Science with a focus on several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology, and Radiology, Nuclear Medicine and Imaging.

Their work covers a range of topics within these fields, such as:

  • Emotion and Mood Recognition
  • Face and Expression Recognition
  • Music and Audio Processing
  • AI in cancer detection
  • Image Retrieval and Classification Techniques
  • Speech Recognition and Synthesis
  • Handwritten Text Recognition Techniques

Alessandro L. Koerich has contributed multiple publications, with notable recent papers including:

  • "A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • "Machine Learning Methods for Histopathological Image Analysis: A Review," 2021, MDPI (MDPI AG)
  • "Incremental and decremental fuzzy bounded twin support vector machine," 2020, Information Sciences
  • "Data augmentation for histopathological images based on gaussian-laplacian pyramid blending," 2020, Espace ÉTS (ETS)
  • "Tensor analysis with n-mode generalized difference subspace," 2021, Expert Systems with Applications

The principal venues where Alessandro L. Koerich frequently publishes include:

  • arXiv (Cornell University)
  • Espace ÉTS (ETS)
  • Applied Sciences
  • Expert Systems with Applications
  • Pattern Recognition

The scientist has collaborated extensively with several co-authors, notably:

  • Alceu de Souza Britto
  • Éric Granger
  • Marco Pedersoli
  • Patrick Cardinal
  • Jean Paul Barddal

Best Publications

  • PKLot – A robust dataset for parking lot classification

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

  • Large vocabulary off-line handwriting recognition: A survey

    A. L. Koerich;R. Sabourin;C. Y. Suen

  • End-to-End Environmental Sound Classification using a 1D Convolutional Neural Network

    Sajjad Abdoli;Patrick Cardinal;Alessandro Lameiras Koerich

  • Music genre classification using LBP textural features

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

  • Fusion of feature sets and classifiers for facial expression recognition

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

  • The latin music database

    Carlos Nascimento Silla;Alessandro L. Koerich;Celso A. A. Kaestner

  • Recognition and verification of unconstrained handwritten words

    A.L. Koerich;R. Sabourin;C.Y. Suen

  • A machine learning approach to automatic music genre classification

    Carlos Nascimento Silla;Alessandro L. Koerich;Celso A. A. Kaestner

  • Automatic music genre classification using ensemble of classifiers

    C.N. Silla;C.A.A. Kaestner;A.L. Koerich

  • A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition

    Unknown

  • On the suitability of state-of-the-art music information retrieval methods for analyzing, categorizing and accessing non-Western and ethnic music collections

    Thomas Lidy;Carlos N. Silla;Olmo Cornelis;Fabien Gouyon

  • Automatic Bird Species Identification for Large Number of Species

    Marcelo T. Lopes;Lucas L. Gioppo;Thiago T. Higushi;Celso A.A. Kaestner

  • A flexible hierarchical approach for facial age estimation based on multiple features

    Jhony K. Pontes;Alceu S. Britto;Clinton Fookes;Alessandro L. Koerich

  • Combining different biometric traits with one-class classification

    C. Bergamini;L. S. Oliveira;A. L. Koerich;R. Sabourin

  • A Robust Approach for Securing Audio Classification Against Adversarial Attacks

    Mohammad Esmaeilpour;Patrick Cardinal;Alessandro Lameiras Koerich

  • A Prototype for Brazilian Bankcheck Recognition

    Luan Ling Lee;Miguel Gustavo Lizárraga;Natanael Rodrigues Gomes;Alessandro L. Koerich

  • 2D Principal Component Analysis for Face and Facial-Expression Recognition

    L. Oliveira;Alessandro L. Koerich;Marcelo Mansano;Alceu S. Britto

  • Filtering segmentation cuts for digit string recognition

    E. Vellasques;L. S. Oliveira;A. S. Britto;A. L. Koerich

  • A hybrid large vocabulary handwritten word recognition system using neural networks with hidden Markov models

    A.L. Koerich;Y. Leydier;R. Sabourin;C.Y. Suen

  • Large vocabulary off-line handwritten word recognition

    Robert Sabourin;Alessandro Lameiras Koerich

  • A FEATURE SELECTION APPROACH FOR AUTOMATIC MUSIC GENRE CLASSIFICATION

    Carlos Nascimento Silla;Alessandro L. Koerich;Celso A. A. Kaestner

  • A machine learning approach to automatic music genre classification

    Unknown

  • 2D Principal Component Analysis for Face and Facial-Expression

    Luiz S. Oliveira;Alessandro L. Koerich;Marcelo Mansano;Pontifical Catholic

Frequent Co-Authors

Luiz S. Oliveira
Luiz S. Oliveira Federal University of Paraná
Robert Sabourin
Robert Sabourin École de Technologie Supérieure
Ching Y. Suen
Ching Y. Suen Concordia University
Najim Dehak
Najim Dehak Johns Hopkins University
Marcelo M. Wanderley
Marcelo M. Wanderley McGill University
Clinton Fookes
Clinton Fookes Queensland University of Technology
Eric Granger
Eric Granger École de Technologie Supérieure
Ismail Ben Ayed
Ismail Ben Ayed École de Technologie Supérieure

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