World's Best Scientists 2026 revealed!
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Ba-Ngu Vo
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Computer Science
Australia
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 68 989 943 36 35 226 24936
Computer Science 68 2046 1981 63 62 240 24548

Ba-Ngu Vo publications per year

The chart shows the history of publications by Ba-Ngu Vo between 1995 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Ba-Ngu Vo published across 32 years, from 1995 to 2026, averaging 7.9 papers a year. Output peaked at 22 publications in 2011. 7 of the 254 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1995 to 2026. Vertical axis: number of publications, 0 to 22. Peak 22 publications in 2011. 1995: 5 publications 1996: 2 publications 1997: 3 publications 1998: 0 publications 1999: 1 publication 2000: 3 publications 2001: 8 publications 2002: 2 publications 2003: 6 publications 2004: 11 publications 2005: 11 publications 2006: 14 publications 2007: 11 publications 2008: 6 publications 2009: 7 publications 2010: 14 publications 2011: 22 publications 2012: 19 publications 2013: 17 publications 2014: 14 publications 2015: 19 publications 2016: 8 publications 2017: 13 publications 2018: 6 publications 2019: 5 publications 2020: 7 publications 2021: 2 publications 2022: 6 publications 2023: 0 publications 2024: 5 publications 2025: 6 publications 2026: 1 publication
1995 2026

254 publications in total across all disciplines

View publications per year as a table
Ba-Ngu Vo: publications per year, 1995 to 2026
Year Publications
1995 5
1996 2
1997 3
1998 0
1999 1
2000 3
2001 8
2002 2
2003 6
2004 11
2005 11
2006 14
2007 11
2008 6
2009 7
2010 14
2011 22
2012 19
2013 17
2014 14
2015 19
2016 8
2017 13
2018 6
2019 5
2020 7
2021 2
2022 6
2023 0
2024 5
2025 6
2026 1
Total 254
Download as CSV

Ba-Ngu Vo publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Ba-Ngu Vo sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 214–233 publications, is where this scientist sits. 34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34–53 publications 1,065+

This scientist: 226 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431 226
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
Download as CSV

Ba-Ngu Vo D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Ba-Ngu Vo sits on this spectrum.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 68 D-Index, is where this scientist sits. 30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 68 D-Index — 86th percentile

86% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60 68
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
Download as CSV

Research.com Recognitions

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Ba-Ngu Vo is affiliated with Curtin University in Australia and specializes in computer science with a focus on artificial intelligence, computer vision and pattern recognition, computer networks and communications, aerospace engineering, and signal processing. Their research contributions span multiple subfields, indicating a broad engagement with both theoretical and applied aspects of these areas.

Their main topics of 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-Ngu Vo has published extensively in several notable venues, with the most frequent being:

  • IEEE Transactions on Signal Processing
  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Information Fusion
  • IEEE/ACM Transactions on Audio Speech and Language Processing

Some of their recent papers include:

  • "A Bayesian Filter for Multi-View 3D Multi-Object Tracking With Occlusion Handling" (2020), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Distributed Multi-Object Tracking Under Limited Field of View Sensors" (2021), published in IEEE Transactions on Signal Processing
  • "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

Their frequent co-authors include:

  • Ba-Tuong Vo
  • Tran Thien Dat Nguyen
  • Changbeom Shim
  • Hamid Rezatofighi
  • Jonah Ong

Ba-Ngu Vo's research reflects an integration of advanced techniques in multi-object tracking, probabilistic filtering, and sensor fusion, contributing to developments in surveillance, sensor networks, and machine learning systems. The portfolio of publication venues and collaborative network indicates consistent engagement with both the theoretical foundations and applied methodologies within their research fields.

Best Publications

  • The Gaussian Mixture Probability Hypothesis Density Filter

    Ba-Ngu Vo;Wing-Kin Ma

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

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

  • Sequential Monte Carlo methods for multitarget filtering with random finite sets

    B.-N. Vo;S. Singh;A. Doucet

  • 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

  • Sequential monte carlo implementation of the phd filter for multi-target tracking

    Ba-Ngu Vo;S. Singh;A. Doucet

  • 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

  • Data Association and Track Management for the Gaussian Mixture Probability Hypothesis Density Filter

    K. Panta;D.E. Clark;Ba-Ngu Vo

  • CPHD Filtering With Unknown Clutter Rate and Detection Profile

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

  • Tracking an unknown time-varying number of speakers using TDOA measurements: a random finite set approach

    Wing-Kin Ma;Ba-Ngu Vo;S.S. Singh;A. Baddeley

  • Multitarget Tracking

    Unknown

  • A Gaussian Mixture PHD Filter for Jump Markov System Models

    S.A. Pasha;Ba-Ngu Vo;Hoang Duong Tuan;Wing-Kin Ma

Frequent Co-Authors

Ba-Tuong Vo
Ba-Tuong Vo Curtin University
Antonio Cantoni
Antonio Cantoni University of Western Australia
Hoang Duong Tuan
Hoang Duong Tuan University of Technology Sydney
Arnaud Doucet
Arnaud Doucet University of Oxford
Wing-Kin Ma
Wing-Kin Ma Chinese University of Hong Kong
Branko Ristic
Branko Ristic RMIT University
Dinh Phung
Dinh Phung Monash University
Kok Lay Teo
Kok Lay Teo Sunway University
Reza Hoseinnezhad
Reza Hoseinnezhad RMIT University
Vikram Krishnamurthy
Vikram Krishnamurthy Cornell University

External Links

Personal website of Ba-Ngu Vo Google Scholar page

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Related Online Degrees & Career Pathways

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In addition to traditional degrees, pursuing short term certificate programs can quickly enhance practical skills, making candidates more competitive in the job market while gaining specialized knowledge in fields related to electronics and electrical systems.

Career pathways in this industry are diverse, including roles well-suited for introverted professionals. For those seeking environments that align with quieter work styles, it’s worthwhile to consider the best jobs for introverts within engineering and technology sectors, which often value focused, independent work.

Moreover, combining technical expertise with leadership skills through an accelerated project management degree can open doors to managerial roles, enhancing career growth and versatility in the increasingly interdisciplinary world of electronics and electrical engineering.

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