World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
9752
World Ranking
8255
National Ranking
498

Mehrdad Dianati 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 Mehrdad Dianati 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: 221 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Mehrdad Dianati 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 Mehrdad Dianati 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Mehrdad Dianati is affiliated with the University of Warwick in the United Kingdom. Their research is primarily situated at the intersection of engineering and computer science, focusing extensively on autonomous vehicle technologies and related fields.

Their publication record includes significant contributions in several top venues, such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Transactions on Intelligent Vehicles
  • IEEE Robotics and Automation Letters
  • IEEE Internet of Things Journal

Mehrdad Dianati's work covers main fields of study including engineering and computer science, with subfields concentrating on electrical and electronic engineering, computer vision and pattern recognition, automotive engineering, artificial intelligence, and aerospace engineering.

The topics addressed in their research involve:

  • Autonomous Vehicle Technology and Safety
  • Vehicular Ad Hoc Networks (VANETs)
  • Advanced Neural Network Applications
  • Traffic Prediction and Management Techniques
  • Robotic Path Planning Algorithms
  • Robotics and Sensor-Based Localization
  • Privacy-Preserving Technologies in Data

Their frequent co-authors include Konstantinos Koufos, Roger Woodman, Sajjad Mozaffari, Kurt Debattista, and Carsten Maple, with whom they have collaborated multiple times.

Recent papers exemplifying their research contributions include:

  • "Deep Learning-Based Vehicle Behavior Prediction for Autonomous Driving Applications: A Review," 2020, IEEE Transactions on Intelligent Transportation Systems
  • "Cooperative Perception for 3D Object Detection in Driving Scenarios Using Infrastructure Sensors," 2020, IEEE Transactions on Intelligent Transportation Systems
  • "A Survey on Imitation Learning Techniques for End-to-End Autonomous Vehicles," 2022, IEEE Transactions on Intelligent Transportation Systems
  • "Integrity Monitoring of GNSS/INS Based Positioning Systems for Autonomous Vehicles: State-of-the-Art and Open Challenges," 2022, IEEE Transactions on Intelligent Transportation Systems
  • "Early Lane Change Prediction for Automated Driving Systems Using Multi-Task Attention-Based Convolutional Neural Networks," 2022, IEEE Transactions on Intelligent Vehicles

Best Publications

  • The SECOQC quantum key distribution network in Vienna

    M. Peev;C. Pacher;R. Alléaume;Claudio Barreiro

  • A Survey of the State-of-the-Art Localization Techniques and Their Potentials for Autonomous Vehicle Applications

    Sampo Kuutti;Saber Fallah;Konstantinos Katsaros;Mehrdad Dianati

  • A Survey on 3D Object Detection Methods for Autonomous Driving Applications

    Eduardo Arnold;Omar Y. Al-Jarrah;Mehrdad Dianati;Saber Fallah

  • Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving Applications: A Review

    Sajjad Mozaffari;Omar Y. Al-Jarrah;Mehrdad Dianati;Paul. A. Jennings

  • Analytical Study of the IEEE 802.11p MAC Sublayer in Vehicular Networks

    Chong Han;M. Dianati;R. Tafazolli;R. Kernchen

  • A node-cooperative ARQ scheme for wireless ad hoc networks

    M. Dianati;Xinhua Ling;K. Naik;Xuemin Shen

  • Performance study of a Green Light Optimized Speed Advisory (GLOSA) application using an integrated cooperative ITS simulation platform

    Konstantinos Katsaros;Ralf Kernchen;Mehrdad Dianati;David Rieck

  • Cooperative Perception for 3D Object Detection in Driving Scenarios Using Infrastructure Sensors

    Eduardo Arnold;Mehrdad Dianati;Robert de Temple;Saber Fallah

  • Trajectory planning and tracking for autonomous overtaking: State-of-the-art and future prospects

    Shilp Dixit;Saber Fallah;Umberto Montanaro;Mehrdad Dianati

  • A Survey on Imitation Learning Techniques for End-to-End Autonomous Vehicles

    Unknown

  • Using quantum key distribution for cryptographic purposes

    R. Alléaume;C. Branciard;J. Bouda;T. Debuisschert

  • Trajectory Planning for Autonomous High-Speed Overtaking in Structured Environments Using Robust MPC

    Shilp Dixit;Umberto Montanaro;Mehrdad Dianati;David Oxtoby

  • Massive MIMO Performance With Imperfect Channel Reciprocity and Channel Estimation Error

    De Mi;Mehrdad Dianati;Lei Zhang;Sami Muhaidat

  • A new fairness index for radio resource allocation in wireless networks

    M. Dianati;X. Shen;S. Naik

  • Hybrid Beamforming for Large Antenna Arrays With Phase Shifter Selection

    Sohail Payami;Mir Ghoraishi;Mehrdad Dianati

  • Intrusion Detection Systems for Intra-Vehicle Networks: A Review

    Omar Y. Al-Jarrah;Carsten Maple;Mehrdad Dianati;David Oxtoby

  • Non-Orthogonal Multiple Access (NOMA) for Future Radio Access

    Razieh Razavi;Mehrdad Dianati;Muhammad Ali Imran

  • Architecture and protocols of the future European quantum key distribution network

    Mehrdad Dianati;Romain Alléaume;Maurice Gagnaire;Xuemin (Sherman) Shen

  • RF-powered cognitive radio networks: technical challenges and limitations

    Lina Mohjazi;Mehrdad Dianati;George K. Karagiannidis;Sami Muhaidat

  • Energy efficiency in heterogeneous wireless access networks

    Shobanraj Navaratnarajah;Arsalan Saeed;Mehrdad Dianati;Muhammad Ali Imran

  • Non-Orthogonal Multiple Access (NOMA) for cellular future radio access

    Razieh Razavi;Mehrdad Dianati;Muhammad Ali Imran

Frequent Co-Authors

Rahim Tafazolli
Rahim Tafazolli University of Surrey
Sami Muhaidat
Sami Muhaidat Khalifa University
Xuemin Shen
Xuemin Shen University of Waterloo
Kshirasagar Naik
Kshirasagar Naik University of Waterloo
Mahmoud Al-Qutayri
Mahmoud Al-Qutayri Khalifa University
Anton Zeilinger
Anton Zeilinger University of Vienna
Harald Weinfurter
Harald Weinfurter Ludwig-Maximilians-Universität München
Nicolas Gisin
Nicolas Gisin University of Geneva
Andrew J. Shields
Andrew J. Shields Toshiba (Japan)
Philippe Grangier
Philippe Grangier University of Paris-Saclay

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing Computer Science in the USA unlocks a wide variety of options for further education and diverse career pathways. Many students choose to expand their skill set by exploring related fields through flexible online programs.

For those seeking a fast-tracked entry to the tech industry, a computer science accelerated program can help you complete your degree in less time, making it ideal if you want to quickly build professional credentials.

If you’re interested in solving environmental challenges, consider an environmental engineering online degree. This path prepares you for roles at the intersection of technology and sustainability.

Engineering and technology also overlap in fields like mechanical engineering and physics. An online degree in mechanical engineering is excellent for those fascinated by the design and production of machines, while the best online physics degree offers a foundation in scientific research and analytical problem solving.

Online programs provide flexibility, affordability, and access to a range of career opportunities, helping you find the pathway that’s right for you.

Best Scientists Citing Mehrdad Dianati

Trending Scientists

Recently Published Articles