World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
7640
World Ranking
6907
National Ranking
219

Michael Blumenstein 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 Michael Blumenstein 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: 341 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Michael Blumenstein 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 Michael Blumenstein 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Michael Blumenstein is affiliated with the University of Technology Sydney in Australia. Their research primarily spans the fields of computer science and engineering, with a focus on computer vision and pattern recognition, artificial intelligence, media technology, ocean engineering, and molecular biology.

The scientist's work covers various subfields, including:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Media Technology
  • Ocean Engineering
  • Molecular Biology

Their research topics encompass:

  • Handwritten Text Recognition Techniques
  • Vehicle License Plate Recognition
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Image and Video Retrieval Techniques
  • Image Processing and 3D Reconstruction
  • Advanced Neural Network Applications
  • Digital Media Forensic Detection

Michael Blumenstein has a significant publication presence in various venues, notably:

  • arXiv (Cornell University)
  • International Journal of Pattern Recognition and Artificial Intelligence
  • Multimedia Tools and Applications
  • SSRN Electronic Journal
  • Water

Some of their recent papers include:

  • Machine Learning and Data Analytic Techniques in Digital Water Metering: A Review, 2020, Water
  • A Survey on Object Instance Segmentation, 2022, SN Computer Science
  • Detecting and mitigating poisoning attacks in federated learning using generative adversarial networks, 2020, Concurrency and Computation Practice and Experience
  • Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification, 2020, arXiv (Cornell University)
  • Selective rubidium recovery from seawater with metal-organic framework incorporated potassium cobalt hexacyanoferrate nanomaterial, 2022, Chemical Engineering Journal

The researcher has collaborated frequently with co-authors such as:

  • Umapada Pal
  • Palaiahnakote Shivakumara
  • Tong Lü
  • Saumik Bhattacharya
  • Subhankar Ghosh

Michael Blumenstein has contributed to multiple book publications with Springer Science+Business Media, including works titled Pattern Recognition published in 2023.

Best Publications

  • A study on detecting drones using deep convolutional neural networks

    Muhammad Saqib;Sultan Daud Khan;Nabin Sharma;Michael Blumenstein

  • A Decade of Research on the Use of Three-Dimensional Virtual Worlds in Health Care: A Systematic Literature Review

    Reza Ghanbarzadeh;Amir Hossein Ghapanchi;Michael Myer Blumenstein;Amir Talaei-Khoei

  • Signature Verification Competition for Online and Offline Skilled Forgeries (SigComp2011)

    Marcus Liwicki;Muhammad Imran Malik;C. Elisa van den Heuvel;Xiaohong Chen

  • A novel feature extraction technique for the recognition of segmented handwritten characters

    M. Blumenstein;B. Verma;H. Basli

  • Recent advances in video-based human action recognition using deep learning: A review

    Di Wu;Nabin Sharma;Michael Blumenstein

  • Towards UAV-based bridge inspection systems: a review and an application perspective

    Brodie Chan;Hong Guan;Jun Jo;Michael Blumenstein

  • Cloud computing as a facilitator of SME entrepreneurship

    Peter Keith Ross;Michael Myer Blumenstein

  • Near-shore swell estimation from a global wind-wave model: Spectral process, linear, and artificial neural network models

    Matthew Browne;Bruno Olivier Castelle;Darrell Strauss;Rodger Benson Tomlinson

  • Performance of an Off-Line Signature Verification Method Based on Texture Features on a Large Indic-Script Signature Dataset

    Srikanta Pal;Alireza Alaei;Umapada Pal;Michael Blumenstein

  • Integrated intelligent water-energy metering systems and informatics: Visioning a digital multi-utility service provider

    Rodney A. Stewart;Khoi Anh Nguyen;Cara D. Beal;Hong Zhang

  • A modified direction feature for cursive character recognition

    M. Blumenstein;X.Y. Liu;B. Verma

  • Global Features for the Off-Line Signature Verification Problem

    Vu Nguyen;Michael Blumenstein;Graham Leedham

  • ICDAR 2013 Competitions on Signature Verification and Writer Identification for On- and Offline Skilled Forgeries (SigWiComp 2013)

    Muhammad Imran Malik;Sheraz Ahmed;Angelo Marcelli;Umapada Pal

  • Improving the reliability of a Bridge Management System (BMS) using an ANN-based Backward Prediction Model (BPM)

    Jaeho Lee;Kamalarasa Sanmugarasa;Michael Blumenstein;Yew-Chaye Loo

  • Drone Detection in Long-Range Surveillance Videos

    Mrunalini Nalamati;Ankit Kapoor;Muhammed Saqib;Nabin Sharma

  • Off-line Signature Verification Using Enhanced Modified Direction Features in Conjunction with Neural Classifiers and Support Vector Machines

    Vu Nguyen;M. Blumenstein;V. Muthukkumarasamy;G. Leedham

  • Drone-vs-Bird Detection Challenge at IEEE AVSS2019

    Angelo Coluccia;Muhammad Saqib;Nabin Sharma;Michael Blumenstein

  • Cloud computing: the nexus of strategy and technology

    Peter Keith Ross;Michael Myer Blumenstein

  • Off-line Signature Verification based on the Modified Direction Feature

    S. Armand;M. Blumenstein;V. Muthukkumarasamy

  • Rethinking 1D-CNN for Time Series Classification: A Stronger Baseline.

    Wensi Tang;Guodong Long;Lu Liu;Tianyi Zhou

  • An investigation of the modified direction feature for cursive character recognition

    Michael Blumenstein;Xin Yu Liu;Brijesh Verma

Frequent Co-Authors

Umapada Pal
Umapada Pal Indian Statistical Institute
Palaiahnakote Shivakumara
Palaiahnakote Shivakumara University of Salford
Hong Guan
Hong Guan Griffith University
Tong Lu
Tong Lu Nanjing University
Brijesh Verma
Brijesh Verma Central Queensland University
Bidyut B. Chaudhuri
Bidyut B. Chaudhuri Indian Statistical Institute
Miguel Ferrer
Miguel Ferrer University of Las Palmas de Gran Canaria
Changming Sun
Changming Sun Commonwealth Scientific and Industrial Research Organisation
Dong-Sheng Jeng
Dong-Sheng Jeng Griffith University
Matthew Browne
Matthew Browne Central Queensland University

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