World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
78
Citations
46394
World Ranking
563
National Ranking
254

Computer Science

D-Index
79
Citations
46983
World Ranking
1115
National Ranking
596

Vahid Tarokh 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 Vahid Tarokh sits on this spectrum.

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 publications 1,065+

This scientist: 405 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Vahid Tarokh 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 Vahid Tarokh sits on this spectrum.

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: 78 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2019 - Member of the National Academy of Engineering For contributions to space-time coding and its applications to multi-antenna wireless communications.
  • 2013 - IEEE Eric E. Sumner Award "For contributions to block signaling for multiple antennas "
  • 2011 - Fellow of John Simon Guggenheim Memorial Foundation
  • 2001 - National Science Foundation Alan T. Waterman Award Wireless Communications

Overview

Vahid Tarokh is affiliated with Duke University in the United States. Their research contributions mainly span the field of Computer Science, with a specific focus on Artificial Intelligence, Statistics and Probability, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, and Aerospace Engineering.

The scientist's work covers significant topics such as Model Reduction and Neural Networks, Neural Networks and Applications, Generative Adversarial Networks and Image Synthesis, Statistical Methods and Inference, Domain Adaptation and Few-Shot Learning, Neural Dynamics and Brain Function, alongside Gaussian Processes and Bayesian Inference.

Frequent collaborators include Juncheng Dong, Enmao Diao, Jie Ding, Suya Wu, and Taposh Banerjee, indicating a network of coauthors who have contributed jointly on numerous occasions.

Publication venues commonly showcasing Tarokh's work include:

  • arXiv (Cornell University)
  • IEEE Access
  • bioRxiv (Cold Spring Harbor Laboratory)
  • IEEE Transactions on Information Theory
  • SSRN Electronic Journal

Recent published papers illustrate their current research orientations:

  • "HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients," 2020, arXiv (Cornell University)
  • "SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training," 2021, arXiv (Cornell University)
  • "CNN-Based Joint SNR and Doppler Shift Classification Using Spectrogram Images for Adaptive Modulation and Coding," 2021, IEEE Transactions on Communications
  • "Bayesian Model Comparison with the Hyvärinen Score: Computation and Consistency," 2020, OPAL (Open@LaTrobe) (La Trobe University)
  • "Dimension reduced turbulent flow data from deep vector quantisers," 2022, Journal of Turbulence

Throughout their career, Tarokh has received several awards including:

  • Member of the National Academy of Engineering (2019) for contributions to space-time coding and its applications to multi-antenna wireless communications
  • IEEE Eric E. Sumner Award (2013) for contributions to block signaling for multiple antennas
  • Fellow of John Simon Guggenheim Memorial Foundation (2011)
  • National Science Foundation Alan T. Waterman Award (2001) for Wireless Communications

Best Publications

  • Space-time codes for high data rate wireless communication: performance criterion and code construction

    V. Tarokh;N. Seshadri;A.R. Calderbank

  • Space-time block codes from orthogonal designs

    V. Tarokh;H. Jafarkhani;A.R. Calderbank

  • Space-time block coding for wireless communications: performance results

    V. Tarokh;H. Jafarkhani;A.R. Calderbank

  • Achievable rates in cognitive radio channels

    N. Devroye;P. Mitran;V. Tarokh

  • A differential detection scheme for transmit diversity

    V. Tarokh;H. Jafarkhani

  • Space-time codes for high data rate wireless communication: performance criteria in the presence of channel estimation errors, mobility, and multiple paths

    V. Tarokh;A. Naguib;N. Seshadri;A.R. Calderbank

  • Space-time coded OFDM for high data-rate wireless communication over wideband channels

    D. Agrawal;V. Tarokh;A. Naguib;N. Seshadri

  • Multiple-antenna channel hardening and its implications for rate feedback and scheduling

    B.M. Hochwald;T.L. Marzetta;V. Tarokh

  • Combined array processing and space-time coding

    V. Tarokh;A. Naguib;N. Seshadri;A.R. Calderbank

  • Collaborative beamforming for distributed wireless ad hoc sensor networks

    H. Ochiai;P. Mitran;H.V. Poor;V. Tarokh

  • A space-time coding modem for high-data-rate wireless communications

    A.F. Naguib;V. Tarokh;N. Seshadri;A.R. Calderbank

  • Optimized constellations for two-way wireless relaying with physical network coding

    T. Koike-Akino;P. Popovski;V. Tarokh

  • Performance Bounds for Bidirectional Coded Cooperation Protocols

    Sang Joon Kim;P. Mitran;V. Tarokh

  • Measurement and modeling of an ultra-wide bandwidth indoor channel

    S.S. Ghassemzadeh;R. Jana;C.W. Rice;W. Turin

  • On the existence and construction of good codes with low peak-to-average power ratios

    K.G. Paterson;V. Tarokh

  • On the computation and reduction of the peak-to-average power ratio in multicarrier communications

    V. Tarokh;H. Jafarkhani

  • Multiple transmit antenna differential detection from generalized orthogonal designs

    H. Jafarkhani;V. Tarokh

  • Model Selection Techniques -- An Overview

    Jie Ding;Vahid Tarokh;Yuhong Yang

  • A statistical path loss model for in-home UWB channels

    S.S. Ghassemzadeh;R. Jana;C.W. Rice;W. Turin

  • Transmitter diversity technique for wireless communications

    Siavash Alamouti;Vahid Tarokh

  • Cognitive radio networks

    N. Devroye;M. Vu;V. Tarokh

  • On the degrees-of-freedom of the MIMO interference channel

    P.A. Parker;D.W. Bliss;V. Tarokh

Frequent Co-Authors

Hamid Jafarkhani
Hamid Jafarkhani University of California, Irvine
Ayman Fawzy Naguib
Ayman Fawzy Naguib Qualcomm (United States)
Warren J. Manning
Warren J. Manning Beth Israel Deaconess Medical Center
Toshiaki Koike-Akino
Toshiaki Koike-Akino Mitsubishi Electric (United States)
Carlo Fischione
Carlo Fischione Royal Institute of Technology
Bijan Pesaran
Bijan Pesaran New York University
Na Li
Na Li Harvard University
Larry J. Greenstein
Larry J. Greenstein Rutgers, The State University of New Jersey
Yingbin Liang
Yingbin Liang The Ohio State University
A.R. Calderbank
A.R. Calderbank Duke University

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