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Computer Science
Australia
2026

D-Index & Metrics

Computer Science

D-Index
91
Citations
33850
World Ranking
582
National Ranking
9

Saeid Nahavandi 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 Saeid Nahavandi 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: 1,027 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Saeid Nahavandi 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 Saeid Nahavandi 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: 91 D-Index — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Computer Science in Australia Leader Award
  • 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
  • 2020 - IEEE Fellow For contributions to haptically-enabled robotic systems

Overview

Saeid Nahavandi is affiliated with Swinburne University of Technology in Australia. Their research spans multiple fields with a focus on Engineering and Computer Science, contributing notably to subfields such as Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, and Radiology, Nuclear Medicine and Imaging.

The main topics covered in Saeid Nahavandi's work include:

  • COVID-19 diagnosis using AI
  • Anomaly Detection Techniques and Applications
  • Aerospace and Aviation Technology
  • Autonomous Vehicle Technology and Safety
  • AI in cancer detection
  • EEG and Brain-Computer Interfaces
  • Vehicle Dynamics and Control Systems

They have published extensively in various venues, with frequent publications in:

  • IEEE Transactions on Systems Man and Cybernetics Systems
  • arXiv (Cornell University)
  • IEEE Transactions on Cybernetics
  • IEEE Systems Man and Cybernetics Magazine
  • 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Notable recent papers include:

  • A review of uncertainty quantification in deep learning: Techniques, applications and challenges (2021), Information Fusion
  • Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications (2020), IEEE Transactions on Cybernetics
  • Epileptic Seizures Detection Using Deep Learning Techniques: A Review (2021), International Journal of Environmental Research and Public Health
  • Deep learning for deepfakes creation and detection: A survey (2022), Computer Vision and Image Understanding
  • Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review (2020), arXiv (Cornell University)

Frequent co-authors collaborating with Saeid Nahavandi include:

  • Abbas Khosravi
  • Enrique Herrera-Viedma
  • Sam Kwong
  • Roohallah Alizadehsani
  • Houshyar Asadi

Among awards received, Saeid Nahavandi was named an IEEE Fellow in 2020 for contributions to haptically-enabled robotic systems.

Best Publications

  • A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

    Moloud Abdar;Farhad Pourpanah;Sadiq Hussain;Dana Rezazadegan

  • Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications

    Thanh Thi Nguyen;Ngoc Duy Nguyen;Saeid Nahavandi

  • Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals

    A Khosravi;S Nahavandi;D Creighton;A F Atiya

  • Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances

    A. Khosravi;S. Nahavandi;D. Creighton;A. F. Atiya

  • Comments on 'Information measure for performance of image fusion'

    M. Hossny;S. Nahavandi;D. Creighton

  • Dielectrophoretic platforms for bio-microfluidic systems.

    Khashayar Khoshmanesh;Saeid Nahavandi;Sara Baratchi;Arnan Mitchell

  • Epileptic Seizures Detection Using Deep Learning Techniques: A Review.

    Afshin Shoeibi;Marjane Khodatars;Navid Ghassemi;Navid Ghassemi;Mahboobeh Jafari

  • Synchronization of an Inertial Neural Network With Time-Varying Delays and Its Application to Secure Communication

    Shanmugam Lakshmanan;Mani Prakash;Chee Peng Lim;Rajan Rakkiyappan

  • A Review of Vision-Based Gait Recognition Methods for Human Identification

    Jin Wang;Mary She;Saeid Nahavandi;Abbas Kouzani

  • Prediction Intervals for Short-Term Wind Farm Power Generation Forecasts

    A. Khosravi;S. Nahavandi;D. Creighton

  • Construction of Optimal Prediction Intervals for Load Forecasting Problems

    Abbas Khosravi;Saeid Nahavandi;Doug Creighton

  • Machine learning-based coronary artery disease diagnosis: A comprehensive review.

    Roohallah Alizadehsani;Moloud Abdar;Mohamad Roshanzamir;Abbas Khosravi

  • Neural Network-Based Uncertainty Quantification: A Survey of Methodologies and Applications

    H. M. Dipu Kabir;Abbas Khosravi;Mohammad Anwar Hosen;Saeid Nahavandi

  • A New Fuzzy-Based Combined Prediction Interval for Wind Power Forecasting

    Abdollah Kavousi-Fard;Abbas Khosravi;Saeid Nahavandi

  • Efficient Road Detection and Tracking for Unmanned Aerial Vehicle

    Hailing Zhou;Hui Kong;Lei Wei;Douglas Creighton

  • Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review.

    Marjane Khodatars;Afshin Shoeibi;Afshin Shoeibi;Delaram Sadeghi;Navid Ghaasemi

  • Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning

    Moloud Abdar;Maryam Samami;Sajjad Dehghani Mahmoodabad;Thang Doan

  • Interval Type-2 Fuzzy Logic Systems for Load Forecasting: A Comparative Study

    A. Khosravi;S. Nahavandi;D. Creighton;D. Srinivasan

  • Prediction Intervals to Account for Uncertainties in Travel Time Prediction

    A Khosravi;E Mazloumi;S Nahavandi;D Creighton

  • An expert system for selecting wart treatment method

    Fahime Khozeimeh;Roohallah Alizadehsani;Mohamad Roshanzamir;Abbas Khosravi

  • Bag-of-words representation for biomedical time series classification

    Jin Wang;Ping Liu;Mary Fenghua She;Saeid Nahavandi

  • Deep Learning for Deepfakes Creation and Detection: A Survey

    Thanh Thi Nguyen;Minh C. Nguyen;Dung Tien Nguyen;Duc Thanh Nguyen

  • Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review

    Marjane Khodatars;Afshin Shoeibi;Navid Ghassemi;Mahboobeh Jafari

Frequent Co-Authors

Abbas Khosravi
Abbas Khosravi Deakin University
Chee Peng Lim
Chee Peng Lim Swinburne University of Technology
Abbas Z. Kouzani
Abbas Z. Kouzani Deakin University
Houshyar Asadi
Houshyar Asadi Deakin University
Khashayar Khoshmanesh
Khashayar Khoshmanesh RMIT University
Ben Horan
Ben Horan Deakin University
Hieu Trinh
Hieu Trinh Deakin University
Roohallah Alizadehsani
Roohallah Alizadehsani Deakin University
Kourosh Kalantar-zadeh
Kourosh Kalantar-zadeh University of Sydney
Lingxue Kong
Lingxue Kong Deakin University

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