World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
5634
World Ranking
13009
National Ranking
391

Roberto Togneri 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 Roberto Togneri 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: 256 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Roberto Togneri 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 Roberto Togneri 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

Roberto Togneri is affiliated with the University of Western Australia in Australia. Their research primarily spans the field of Computer Science, with a focus on several interconnected subfields and topics.

The main subfields in which Togneri has contributed include:

  • Artificial Intelligence
  • Signal Processing
  • Information Systems
  • Computer Vision and Pattern Recognition
  • Media Technology

The research topics covered by Togneri's work include:

  • Speech and Audio Processing
  • Spam and Phishing Detection
  • Music and Audio Processing
  • Cybercrime and Law Enforcement Studies
  • Sentiment Analysis and Opinion Mining
  • Blind Source Separation Techniques
  • Neural Networks and Applications

Frequent publication venues for Togneri demonstrate an active role in reputable scientific communities and include:

  • arXiv (Cornell University)
  • IEEE Signal Processing Magazine
  • IEEE Transactions on Information Forensics and Security
  • IEEE Transactions on Neural Networks and Learning Systems
  • Energy Conversion and Management

Among their recent papers are the following:

  • "Computationally expedient Photovoltaic power Forecasting: A LSTM ensemble method augmented with adaptive weighting and data segmentation technique" (2022) published in Energy Conversion and Management
  • "HIN-RNN: A Graph Representation Learning Neural Network for Fraudster Group Detection With No Handcrafted Features" (2021) published on arXiv (Cornell University)
  • "ScoreGAN: A Fraud Review Detector Based on Regulated GAN With Data Augmentation" (2021) published in IEEE Transactions on Information Forensics and Security
  • "Multi-task Learning-Based Spoofing-Robust Automatic Speaker Verification System" (2022) published in Circuits Systems and Signal Processing
  • "Multi-Kernel Fusion for RBF Neural Networks" (2022) published in Neural Processing Letters

Togneri frequently collaborates with several coauthors, including:

  • Mohammed Bennamoun
  • Saeedreza Shehnepoor
  • Wei Liu
  • Imran Naseem
  • Victor Sreeram

Best Publications

  • Linear Regression for Face Recognition

    Imran Naseem;Roberto Togneri;Mohammed Bennamoun

  • Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data

    Salman H. Khan;Munawar Hayat;Mohammed Bennamoun;Ferdous A. Sohel

  • An Overview of Speaker Identification: Accuracy and Robustness Issues

    R Togneri;D Pullella

  • Automatic Shadow Detection and Removal from a Single Image

    Salman H. Khan;Mohammed Bennamoun;Ferdous Sohel;Roberto Togneri

  • Statistical Voice Activity Detection Using Low-Variance Spectrum Estimation and an Adaptive Threshold

    A. Davis;S. Nordholm;R. Togneri

  • Robust regression for face recognition

    Imran Naseem;Roberto Togneri;Mohammed Bennamoun

  • A Discriminative Representation of Convolutional Features for Indoor Scene Recognition

    Salman H. Khan;Munawar Hayat;Mohammed Bennamoun;Roberto Togneri

  • Automatic Feature Learning for Robust Shadow Detection

    Salman Hameed Khan;Mohammed Bennamoun;Ferdous Sohel;Roberto Togneri

  • Sparse Representation for Speaker Identification

    Imran Naseem;Roberto Togneri;Mohammed Bennamoun

  • Fundamentals of Information Theory and Coding Design

    Roberto Togneri;Christopher J. S. DeSilva

  • Speaker verification using sparse representation classification

    Jia Min Karen Kua;Eliathamby Ambikairajah;Julien Epps;Roberto Togneri

  • Convolutive blind signal separation with post-processing

    Siow Yong Low;S. Nordholm;R. Togneri

  • Geometry Driven Semantic Labeling of Indoor Scenes

    Salman Hameed Khan;Mohammed Bennamoun;Ferdous Ahmed Sohel;Roberto Togneri

  • A Fractional Gradient Descent-Based RBF Neural Network

    Shujaat Khan;Imran Naseem;Imran Naseem;Muhammad Ammar Malik;Roberto Togneri

  • Building an audio-visual corpus of Australian English: large corpus collection with an economical portable and replicable Black Box

    Denis Burnham;Dominique Estival;Steven Fazio;Jette Viethen

  • Convolutional Neural Network With Second-Order Pooling for Underwater Target Classification

    Xu Cao;Roberto Togneri;Xiaomin Zhang;Yang Yu

  • How Well Sentence Embeddings Capture Meaning

    Lyndon White;Roberto Togneri;Wei Liu;Mohammed Bennamoun

  • Learning deep structured network for weakly supervised change detection

    Salman Hameed Khan;Xuming He;Fatih Porikli;Mohammed Bennamoun

  • Dimension and structure of the speech space

    R. Togneri;M.D. Alder;Y. Attikiouzel

  • Sparse Representation for Ear Biometrics

    Imran Naseem;Roberto Togneri;Mohammed Bennamoun

  • Modelling 1-D signals using Hermite basis functions

    A.I. Rasiah;R. Togneri;Y. Attikiouzel

  • Cost Sensitive Learning of Deep Feature Representations from Imbalanced Data

    Salman H. Khan;Munawar Hayat;Mohammed Bennamoun;Ferdous Sohel

Frequent Co-Authors

Mohammed Bennamoun
Mohammed Bennamoun University of Western Australia
Ferdous Sohel
Ferdous Sohel Murdoch University
Sven Nordholm
Sven Nordholm Curtin University
Wei Liu
Wei Liu Tencent (China)
Victor Sreeram
Victor Sreeram University of Western Australia
Li Deng
Li Deng Citadel
Mark Onslow
Mark Onslow University of Technology Sydney
Julien Epps
Julien Epps University of New South Wales
Denis K Burnham
Denis K Burnham Western Sydney University
Anne Cutler
Anne Cutler Western Sydney University

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