World's Best Scientists 2026 revealed!
Alireza Bab-Hadiashar

Alireza Bab-Hadiashar

D-Index & Metrics

Computer Science

D-Index
36
Citations
4585
World Ranking
11364
National Ranking
342

Alireza Bab-Hadiashar 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 Alireza Bab-Hadiashar 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: 209 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Alireza Bab-Hadiashar 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 Alireza Bab-Hadiashar 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Alireza Bab-Hadiashar is affiliated with RMIT University in Australia. Their research primarily spans the fields of Computer Science and Engineering, with a substantial focus on Computer Vision and Pattern Recognition, Artificial Intelligence, and Computer Networks and Communications.

The researcher has contributed extensively to topics related to advanced imaging and sensing technologies. Key research themes include:

  • Advanced Vision and Imaging
  • Target Tracking and Data Fusion in Sensor Networks
  • Distributed Sensor Networks and Detection Algorithms
  • Anomaly Detection Techniques and Applications
  • Industrial Vision Systems and Defect Detection
  • Video Surveillance and Tracking Methods
  • Additive Manufacturing Materials and Processes

Notable recent publications include:

  • "Sensor-based safety management" (2020) published in Automation in Construction
  • "Interval Type 2 Fuzzy Logic Control for Energy Management of Hybrid Electric Autonomous Vehicles" (2020) in IEEE Transactions on Intelligent Vehicles
  • "A Novel Hybrid Machine Learning Algorithm for Limited and Big Data Modeling With Application in Industry 4.0" (2020) in IEEE Access
  • "Centralized Cooperative Sensor Fusion for Dynamic Sensor Network With Limited Field-of-View via Labeled Multi-Bernoulli Filter" (2020) in IEEE Transactions on Signal Processing
  • "Multiple instance-based video anomaly detection using deep temporal encoding-decoding" (2022) in Expert Systems with Applications

Frequent collaborators include researchers Reza Hoseinnezhad, Ruwan Tennakoon, Amirali Khodadadian Gostar, David Suter, and WeiQin Chuah. This network of coauthors reflects a strong collaborative effort in their research activities.

Publications by this scientist appear regularly in venues such as:

  • arXiv (Cornell University)
  • IEEE Access
  • SSRN Electronic Journal
  • IEEE Transactions on Intelligent Transportation Systems
  • Swinburne Research Bank (Swinburne University of Technology)

Their research works cover 112 publications in computer science and 80 in engineering. Among subfields, the highest concentration of work is found in Computer Vision and Pattern Recognition with 53 publications, followed by Artificial Intelligence with 35 publications. Mechanical Engineering and Industrial and Manufacturing Engineering also represent significant areas of output.

Best Publications

  • An Overview to Visual Odometry and Visual SLAM: Applications to Mobile Robotics

    Khalid Yousif;Alireza Bab-Hadiashar;Reza Hoseinnezhad

  • A comparison of reactive robot chemotaxis algorithms

    R.Andrew Russell;Alireza Bab-Hadiashar;Rod L. Shepherd;Gordon G. Wallace

  • RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge

    Hrvoje Bogunovic;Freerk Venhuizen;Sophie Klimscha;Stefanos Apostolopoulos

  • Robust Optic Flow Computation

    Alireza Bab-Hadiashar;David Suter

  • Adaptive intelligent energy management system of plug-in hybrid electric vehicle

    Hamid Khayyam;Alireza Bab-Hadiashar

  • Calibration of Resolver Sensors in Electromechanical Braking Systems: A Modified Recursive Weighted Least-Squares Approach

    R. Hoseinnezhad;A. Bab-Hadiashar;P. Harding

  • Sensor-based safety management

    Amin Asadzadeh;Mehrdad Arashpour;Heng Li;Tuan Ngo

  • Robust segmentation of visual data using ranked unbiased scale estimate

    Alireza Bab-Hadiashar;David Suter

  • Optimizing decisions in advanced manufacturing of prefabricated products: theorizing supply chain configurations in off-site construction

    Mehrdad Arashpour;Yu Bai;Guillermo Aranda-mena;Alireza Bab-Hadiashar

  • Range image segmentation using surface selection criterion

    A. Bab-Hadiashar;N. Gheissari

  • Interval Type 2 Fuzzy Logic Control for Energy Management of Hybrid Electric Autonomous Vehicles

    Duong Phan;Alizera Bab-Hadiashar;Mojgan Fayyazi;Reza Hoseinnezhad

  • Intelligent Sensorless ABS for In-Wheel Electric Vehicles

    Amir Dadashnialehi;Alireza Bab-Hadiashar;Zhenwei Cao;Ajay Kapoor

  • Robust Multi-Bernoulli Sensor Selection for Multi-Target Tracking in Sensor Networks

    Amirali K. Gostar;Reza Hoseinnezhad;Alireza Bab-Hadiashar

  • Intelligent battery energy management and control for vehicle-to-grid via cloud computing network

    Hamid Khayyam;Jemal Abawajy;Bahman Javadi;Andrzej Goscinski

  • Robust Model Fitting Using Higher Than Minimal Subset Sampling

    Ruwan B. Tennakoon;Alireza Bab-Hadiashar;Zhenwei Cao;Reza Hoseinnezhad

  • A novel hybrid machine learning algorithm for limited and big data modeling with application in industry 4.0

    Hamid Khayyam;Ali Jamali;Alireza Bab-Hadiashar;Thomas Esch

  • Centralized Cooperative Sensor Fusion for Dynamic Sensor Network With Limited Field-of-View via Labeled Multi-Bernoulli Filter

    Amirali Khodadadian Gostar;Tharindu Rathnayake;Ruwan Tennakoon;Alireza Bab-Hadiashar

  • Multi-Bernoulli sensor-selection for multi-target tracking with unknown clutter and detection profiles

    Amirali K. Gostar;Reza Hoseinnezhad;Alireza Bab-Hadiashar

  • Intelligent Sensorless Antilock Braking System for Brushless In-Wheel Electric Vehicles

    Amir Dadashnialehi;Alireza Bab-Hadiashar;Zhenwei Cao;Ajay Kapoor

  • Multi-bernoulli sensor control via minimization of expected estimation errors

    Amirali K. Gostar;Reza Hoseinnezhad;Alireza Bab-Hadiashar

  • Centralized multiple-view sensor fusion using labeled multi-Bernoulli filters

    Xiaoying Wang;Amirali K. Gostar;Tharindu Rathnayake;Benlian Xu

  • Stochastic optimization models for energy management in carbonization process of carbon fiber production

    Hamid Khayyam;Minoo Naebe;Alireza Bab-Hadiashar;Farshid Jamshidi

  • Multi-sensor control for multi-object Bayes filters

    Xiaoying Wang;Reza Hoseinnezhad;Amirali K. Gostar;Tharindu Rathnayake

  • Calibration of resolver sensors in electro-mechanical braking systems: A modified recursive weighted least squares approach

    R Hoseinnezhad;A Bab-Hadiashar;P Harding

  • (In Press) Multi-bernoulli sensor control via minimization of expected estimation errors

    A Khodadadian Gostar;R Hoseinnezhad;A Bab-Hadiashar

Frequent Co-Authors

Reza Hoseinnezhad
Reza Hoseinnezhad RMIT University
David Suter
David Suter Edith Cowan University
Zhenwei Cao
Zhenwei Cao Swinburne University of Technology
Hamid Khayyam
Hamid Khayyam RMIT University
Reza N. Jazar
Reza N. Jazar RMIT University
Minoo Naebe
Minoo Naebe Deakin University
Ajay Kapoor
Ajay Kapoor Swinburne University of Technology
Tat-Jun Chin
Tat-Jun Chin University of Adelaide
Luigi Chisci
Luigi Chisci University of Florence
Marleen de Bruijne
Marleen de Bruijne Erasmus University Rotterdam

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