World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
5678
World Ranking
10774
National Ranking
4490

Sheryl Brahnam 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 Sheryl Brahnam 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: 165 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Sheryl Brahnam 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 Sheryl Brahnam 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Sheryl Brahnam is affiliated with Missouri State University in the United States. Their primary research domain falls within Computer Science, with a strong focus on multiple subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Signal Processing, and Media Technology.

Their work covers various specialized topics such as Advanced Image and Video Retrieval Techniques, Animal Vocal Communication and Behavior, Advanced Neural Network Applications, Music and Audio Processing, Remote-Sensing Image Classification, Machine Learning and Data Classification, and Neural Networks and Applications.

Frequent co-authors of Sheryl Brahnam include:

  • Loris Nanni
  • Alessandra Lumini
  • Gianluca Maguolo
  • Michelangelo Paci
  • Andrea Loreggia

The scientist has published extensively in several venues. Common publication venues include:

  • Preprints.org
  • arXiv (Cornell University)
  • Applied Sciences
  • Journal of Imaging
  • Sensors

Some recent papers authored or co-authored by Sheryl Brahnam are listed below:

  • High performing ensemble of convolutional neural networks for insect pest image detection, 2021, Ecological Informatics
  • An Ensemble of Convolutional Neural Networks for Audio Classification, 2021, MDPI (MDPI AG)
  • Comparison of Different Image Data Augmentation Approaches, 2021, Journal of Imaging
  • Comparison of Transfer Learning and Conventional Machine Learning Applied to Structural Brain MRI for the Early Diagnosis and Prognosis of Alzheimer's Disease, 2020, Frontiers in Neurology
  • Ensemble of convolutional neural networks to improve animal audio classification, 2020, EURASIP Journal on Audio Speech and Music Processing

In addition, Sheryl Brahnam has contributed to book publications, including a title published by Springer Nature:

  • Recent Advances in Technologies for Inclusive Well-Being, 2021

Best Publications

  • Local binary patterns variants as texture descriptors for medical image analysis

    Loris Nanni;Alessandra Lumini;Sheryl Brahnam

  • Handcrafted vs. non-handcrafted features for computer vision classification

    Loris Nanni;Stefano Ghidoni;Sheryl Brahnam

  • Survey on LBP based texture descriptors for image classification

    Loris Nanni;Alessandra Lumini;Sheryl Brahnam

  • Local Binary Patterns: New Variants and Applications

    Sheryl Brahnam;Lakhmi C. Jain;Loris Nanni;Alessandra Lumini

  • Gender affordances of conversational agents

    Sheryl Brahnam;Antonella De Angeli

  • Machine recognition and representation of neonatal facial displays of acute pain

    Sheryl Brahnam;Chao-Fa Chuang;Frank Y. Shih;Melinda R. Slack

  • A local approach based on a Local Binary Patterns variant texture descriptor for classifying pain states

    Loris Nanni;Sheryl Brahnam;Alessandra Lumini

  • I hate you! Disinhibition with virtual partners

    Antonella De Angeli;Sheryl Brahnam

  • Wavelet images and Chou’s pseudo amino acid composition for protein classification

    Loris Nanni;Sheryl Brahnam;Alessandra Lumini

  • Machine assessment of neonatal facial expressions of acute pain

    Sheryl Brahnam;Chao-Fa Chuang;Randall S. Sexton;Frank Y. Shih

  • Different approaches for extracting information from the co-occurrence matrix.

    Loris Nanni;Sheryl Brahnam;Stefano Ghidoni;Emanuele Menegatti

  • Prediction of protein structure classes by incorporating different protein descriptors into general Chou's pseudo amino acid composition.

    Loris Nanni;Sheryl Brahnam;Alessandra Lumini

  • Ensemble of convolutional neural networks for bioimage classification

    Loris Nanni;Stefano Ghidoni;Sheryl Brahnam

  • High performing ensemble of convolutional neural networks for insect pest image detection

    Loris Nanni;Alessandro Manfe;Gianluca Maguolo;Alessandra Lumini

  • Introduction to Neonatal Facial Pain Detection Using Common and Advanced Face Classification Techniques

    Sheryl Brahnam;Loris Nanni;Randall S. Sexton

  • An ensemble of convolutional neural networks for audio classification

    Loris Nanni;Gianluca Maguolo;Sheryl Brahnam;Michelangelo Paci

  • Combining visual and acoustic features for audio classification tasks

    L. Nanni;Y.M.G. Costa;D.R. Lucio;C.N. Silla

  • Comparison of Different Image Data Augmentation Approaches

    Loris Nanni;Michelangelo Paci;Sheryl Brahnam;Alessandra Lumini

  • A classifier ensemble approach for the missing feature problem

    Loris Nanni;Alessandra Lumini;Sheryl Brahnam

  • A simple method for improving local binary patterns by considering non-uniform patterns

    Loris Nanni;Sheryl Brahnam;Alessandra Lumini

  • Comparison of Transfer Learning and Conventional Machine Learning Applied to Structural Brain MRI for the Early Diagnosis and Prognosis of Alzheimer's Disease.

    Loris Nanni;Matteo Interlenghi;Sheryl Brahnam;Christian Salvatore

  • An Empirical Study of Different Approaches for Protein Classification

    Loris Nanni;Alessandra Lumini;Sheryl Brahnam

  • Advanced Computational Intelligence Paradigms in Healthcare 6. Virtual Reality in Psychotherapy, Rehabilitation, and Assessment

    Sheryl Brahnam;Lakhmi C. Jain

Frequent Co-Authors

Loris Nanni
Loris Nanni University of Padua
Alessandra Lumini
Alessandra Lumini University of Bologna
Lakhmi C. Jain
Lakhmi C. Jain University of South Australia
Frank Y. Shih
Frank Y. Shih New Jersey Institute of Technology
Antonella De Angeli
Antonella De Angeli Free University of Bozen-Bolzano
Jari Hyttinen
Jari Hyttinen Tampere University
Alan Dix
Alan Dix Swansea University
Christoph Bartneck
Christoph Bartneck University of Canterbury
Simone Bianco
Simone Bianco University of Milano-Bicocca

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