World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
15573
World Ranking
6315
National Ranking
199

Ba-Tuong Vo 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 Ba-Tuong Vo 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: 135 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

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

Ba-Tuong Vo 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 Ba-Tuong Vo 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Ba-Tuong Vo is affiliated with Curtin University in Australia and specializes in the field of computer science. Their research contributions primarily focus on artificial intelligence, computer vision and pattern recognition, signal processing, computer networks and communications, and control and systems engineering.

The scientist's publication record includes 29 works in computer science, with specific emphasis on 12 in artificial intelligence and 8 in computer vision and pattern recognition. Additional subfields they engage with are signal processing, computer networks and communications, and control and systems engineering.

Key research topics covered in their work include:

  • Target tracking and data fusion in sensor networks
  • Video surveillance and tracking methods
  • Distributed sensor networks and detection algorithms
  • Fault detection and control systems
  • Advanced neural network applications
  • Adversarial robustness in machine learning
  • Gaussian processes and Bayesian inference

Ba-Tuong Vo has published extensively in several scientific venues. Frequent venues include:

  • IEEE Transactions on Signal Processing
  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • 2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)

Selected recent papers by Ba-Tuong Vo present a snapshot of the scientist's active research areas:

  • "A Bayesian Filter for Multi-View 3D Multi-Object Tracking With Occlusion Handling" (2020), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Multi-Scan Multi-Sensor Multi-Object State Estimation" (2022), published in IEEE Transactions on Signal Processing
  • "How Trustworthy are Performance Evaluations for Basic Vision Tasks?" (2022), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Linear Complexity Gibbs Sampling for Generalized Labeled Multi-Bernoulli Filtering" (2023), published in IEEE Transactions on Signal Processing
  • "Multi-Objective Multi-Agent Planning for Discovering and Tracking Multiple Mobile Objects" (2024), published in IEEE Transactions on Signal Processing

The scientist frequently collaborates with other researchers, including Ba-Ngu Vo, Changbeom Shim, Jonah Ong, Tran Thien Dat Nguyen, and Diluka Moratuwage. These collaborations reflect a consistent presence in multi-author research initiatives focused on related technical fields and applications.

Best Publications

  • A Consistent Metric for Performance Evaluation of Multi-Object Filters

    D. Schuhmacher;B.-T. Vo;B.-N. Vo

  • Analytic Implementations of the Cardinalized Probability Hypothesis Density Filter

    Ba-Tuong Vo;Ba-Ngu Vo;A. Cantoni

  • Labeled Random Finite Sets and Multi-Object Conjugate Priors

    Ba-Tuong Vo;Ba-Ngu Vo

  • The Cardinality Balanced Multi-Target Multi-Bernoulli Filter and Its Implementations

    Ba-Tuong Vo;Ba-Ngu Vo;A. Cantoni

  • The Labeled Multi-Bernoulli Filter

    Stephan Reuter;Ba-Tuong Vo;Ba-Ngu Vo;Klaus Dietmayer

  • Labeled Random Finite Sets and the Bayes Multi-Target Tracking Filter

    Ba-Ngu Vo;Ba-Tuong Vo;Dinh Phung

  • On performance evaluation of multi-object filters

    D. Schuhmacher;Ba Tuong Vo;Ba Ngu Vo

  • Joint Detection and Estimation of Multiple Objects From Image Observations

    Ba-Ngu Vo;Ba-Tuong Vo;Nam-Trung Pham;David Suter

  • An Efficient Implementation of the Generalized Labeled Multi-Bernoulli Filter

    Ba-Ngu Vo;Ba-Tuong Vo;Hung Gia Hoang

  • A Metric for Performance Evaluation of Multi-Target Tracking Algorithms

    B Ristic;Ba-Ngu Vo;D Clark;Ba-Tuong Vo

  • Adaptive Target Birth Intensity for PHD and CPHD Filters

    B. Ristic;D. Clark;Ba-Ngu Vo;Ba-Tuong Vo

  • A Random-Finite-Set Approach to Bayesian SLAM

    J Mullane;Ba-Ngu Vo;M D Adams;Ba-Tuong Vo

  • A Tutorial on Bernoulli Filters: Theory, Implementation and Applications

    B. Ristic;Ba-Tuong Vo;Ba-Ngu Vo;A. Farina

  • CPHD Filtering With Unknown Clutter Rate and Detection Profile

    R. P. S. Mahler;Ba-Tuong Vo;Ba-Ngu Vo

  • Multiple Extended Target Tracking With Labeled Random Finite Sets

    Michael Beard;Stephan Reuter;Karl Granstrom;Ba-Tuong Vo

  • Generalized Labeled Multi-Bernoulli Approximation of Multi-Object Densities

    Francesco Papi;Ba-Ngu Vo;Ba-Tuong Vo;Claudio Fantacci

  • Bayesian Filtering With Random Finite Set Observations

    Ba-Tuong Vo;Ba-Ngu Vo;A. Cantoni

  • Visual tracking of numerous targets via multi-Bernoulli filtering of image data

    Reza Hoseinnezhad;Ba-Ngu Vo;Ba-Tuong Vo;David Suter

  • Visual Tracking in Background Subtracted Image Sequences via Multi-Bernoulli Filtering

    Reza Hoseinnezhad;Ba-Ngu Vo;Ba-Tuong Vo

  • Robust Multi-Bernoulli Filtering

    Ba-Tuong Vo;Ba-Ngu Vo;Reza Hoseinnezhad;Ronald P. S. Mahler

Frequent Co-Authors

Ba-Ngu Vo
Ba-Ngu Vo Curtin University
Reza Hoseinnezhad
Reza Hoseinnezhad RMIT University
Dinh Phung
Dinh Phung Monash University
David Suter
David Suter Edith Cowan University
Klaus Dietmayer
Klaus Dietmayer University of Ulm
Branko Ristic
Branko Ristic RMIT University
Antonio Cantoni
Antonio Cantoni University of Western Australia
Sven Nordholm
Sven Nordholm Curtin University
Karl Granstrom
Karl Granstrom Chalmers University of Technology
Arindam Ghosh
Arindam Ghosh Curtin University

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