World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
75
Citations
31343
World Ranking
664
National Ranking
296

Computer Science

D-Index
78
Citations
32585
World Ranking
1172
National Ranking
622

Bhaskar D. Rao 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 Bhaskar D. Rao 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: 485 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Bhaskar D. Rao 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 Bhaskar D. Rao 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: 75 D-Index — 90th percentile

90% 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

  • 2000 - IEEE Fellow For the statistical analysis of subspace algorithms for harmonic retrieval.

Overview

Bhaskar D. Rao is affiliated with the University of California, San Diego in the United States. Their research output mainly spans the fields of Engineering and Computer Science, with a focus on subfields such as Electrical and Electronic Engineering, Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, and Computer Networks and Communications.

The principal topics addressed in their work include:

  • Advanced MIMO Systems Optimization
  • Sparse and Compressive Sensing Techniques
  • Direction-of-Arrival Estimation Techniques
  • Blind Source Separation Techniques
  • Wireless Communication Networks Research
  • Advanced Wireless Network Optimization
  • Image and Signal Denoising Methods

Bhaskar D. Rao has published extensively in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • IEEE Transactions on Wireless Communications
  • Proceedings of the National Academy of Sciences
  • IEEE Signal Processing Letters

Selected recent papers include:

  • "RE-MIMO: Recurrent and Permutation Equivariant Neural MIMO Detection", 2020, IEEE Transactions on Signal Processing
  • "Maximum Likelihood-Based Gridless DoA Estimation Using Structured Covariance Matrix Recovery and SBL With Grid Refinement", 2023, IEEE Transactions on Signal Processing
  • "Block-Sparse Signal Recovery via General Total Variation Regularized Sparse Bayesian Learning", 2022, IEEE Transactions on Signal Processing
  • "Functional connectome fingerprinting using shallow feedforward neural networks", 2021, Proceedings of the National Academy of Sciences
  • "Modified Vector Quantization for Small-Cell Access Point Placement With Inter-Cell Interference", 2022, IEEE Transactions on Wireless Communications

The frequent coauthors collaborating with Bhaskar D. Rao are:

  • Govind R. Gopal
  • Rohan R. Pote
  • Gabriel Porto Villardi
  • Aditya Sant
  • Markus Leinonen

Bhaskar D. Rao was recognized as an IEEE Fellow in 2000 for contributions related to statistical analysis of subspace algorithms for harmonic retrieval.

Best Publications

  • Sparse signal reconstruction from limited data using FOCUSS: a re-weighted minimum norm algorithm

    I.F. Gorodnitsky;B.D. Rao

  • An overview of limited feedback in wireless communication systems

    D.J. Love;R.W. Heath;V.K.N. Lau;D. Gesbert

  • Sparse solutions to linear inverse problems with multiple measurement vectors

    S.F. Cotter;B.D. Rao;Kjersti Engan;K. Kreutz-Delgado

  • Sparse Bayesian learning for basis selection

    D.P. Wipf;B.D. Rao

  • Performance analysis of Root-Music

    B.D. Rao;K.V.S. Hari

  • Dictionary learning algorithms for sparse representation

    Kenneth Kreutz-Delgado;Joseph F. Murray;Bhaskar D. Rao;Kjersti Engan

  • An Empirical Bayesian Strategy for Solving the Simultaneous Sparse Approximation Problem

    D.P. Wipf;B.D. Rao

  • Sparse Signal Recovery With Temporally Correlated Source Vectors Using Sparse Bayesian Learning

    Zhilin Zhang;B. D. Rao

  • Sparse channel estimation via matching pursuit with application to equalization

    S.F. Cotter;B.D. Rao

  • Towards robust automatic traffic scene analysis in real-time

    D. Koller;J. Weber;T. Huang;J. Malik

  • Neuromagnetic source imaging with FOCUSS: a recursive weighted minimum norm algorithm

    Irina F. Gorodnitsky;John S. George;Bhaskar D. Rao

  • Precoding and Power Optimization in Cell-Free Massive MIMO Systems

    Elina Nayebi;Alexei Ashikhmin;Thomas L. Marzetta;Hong Yang

  • An affine scaling methodology for best basis selection

    B.D. Rao;K. Kreutz-Delgado

  • Extension of SBL Algorithms for the Recovery of Block Sparse Signals With Intra-Block Correlation

    Zhilin Zhang;B. D. Rao

  • Subset selection in noise based on diversity measure minimization

    B.D. Rao;K. Engan;S.F. Cotter;J. Palmer

  • Wavefront Array Processor: Language, Architecture, and Applications

    Sun-Yuan Kung;Arun;Gal-Ezer;Bhaskar Rao

  • Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Noninvasive Fetal ECG Via Block Sparse Bayesian Learning

    Zhilin Zhang;Tzyy-Ping Jung;S. Makeig;B. D. Rao

  • Lane Change Intent Analysis Using Robust Operators and Sparse Bayesian Learning

    J.C. McCall;D.P. Wipf;M.M. Trivedi;B.D. Rao

  • Transmit beamforming in multiple-antenna systems with finite rate feedback: a VQ-based approach

    J.C. Roh;B.D. Rao

  • Compressed Sensing for Wireless Communications: Useful Tips and Tricks

    Jun Won Choi;Byonghyo Shim;Yacong Ding;Bhaskar Rao

  • Latent Variable Bayesian Models for Promoting Sparsity

    D. P. Wipf;B. D. Rao;S. Nagarajan

Frequent Co-Authors

Kenneth Kreutz-Delgado
Kenneth Kreutz-Delgado University of California, San Diego
Mohan M. Trivedi
Mohan M. Trivedi University of California, San Diego
David Wipf
David Wipf Amazon (United States)
Chee Wei Tan
Chee Wei Tan Nanyang Technological University
Scott Makeig
Scott Makeig University of California, San Diego
Tzyy-Ping Jung
Tzyy-Ping Jung University of California, San Diego
Truong Q. Nguyen
Truong Q. Nguyen University of California, San Diego
Thomas T. Liu
Thomas T. Liu University of California, San Diego
Michele Zorzi
Michele Zorzi University of Padua
John G. Proakis
John G. Proakis Northeastern University

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