World's Best Scientists 2026 revealed!
Krishna R. Narayanan

Krishna R. Narayanan

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
48
Citations
7362
World Ranking
3125
National Ranking
1175

Computer Science

D-Index
50
Citations
7823
World Ranking
5707
National Ranking
2590

Krishna R. Narayanan 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 Krishna R. Narayanan 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: 210 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Krishna R. Narayanan 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 Krishna R. Narayanan 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: 48 D-Index — 56th percentile

56% 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

  • 2015 - IEEE Fellow For contributions to coding for wireless communications and data storage

Overview

Krishna R. Narayanan is a researcher affiliated with Texas A&M University in the United States. Their work spans multiple areas within engineering and computer science, with a particular focus on electrical and electronic engineering, artificial intelligence, computer networks and communications, computational mechanics, and infectious diseases.

The scientist has contributed to research in several main topics, including:

  • Sparse and Compressive Sensing Techniques
  • Indoor and Outdoor Localization Technologies
  • SARS-CoV-2 detection and testing
  • Wireless Communication Security Techniques
  • Error Correcting Code Techniques
  • Cooperative Communication and Network Coding
  • Advanced MIMO Systems Optimization

Recent publications by Krishna R. Narayanan include:

  • "Pooling RT-PCR or NGS samples has the potential to cost-effectively generate estimates of COVID-19 prevalence in resource limited environments," 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • "A Coded Compressed Sensing Scheme for Unsourced Multiple Access," 2020, IEEE Transactions on Information Theory
  • "Unsourced Random Access With Coded Compressed Sensing: Integrating AMP and Belief Propagation," 2021, IEEE Transactions on Information Theory
  • "Sparse IDMA: A Joint Graph-Based Coding Scheme for Unsourced Random Access," 2022, IEEE Transactions on Communications
  • "FASURA: A Scheme for Quasi-Static Massive MIMO Unsourced Random Access Channels," 2022, 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)

Frequent co-authors of Krishna R. Narayanan include:

  • Jean-François Chamberland
  • Vamsi K. Amalladinne
  • Anoosheh Heidarzadeh
  • Jamison R. Ebert
  • Dileep Kalathil

The scientist has published extensively in various venues, with a notable number of publications in the following:

  • arXiv (Cornell University)
  • IEEE Transactions on Information Theory
  • IEEE Transactions on Communications
  • bioRxiv (Cold Spring Harbor Laboratory)
  • 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)

Krishna R. Narayanan was recognized as an IEEE Fellow in 2015 for contributions to coding for wireless communications and data storage.

Best Publications

  • Joint Physical Layer Coding and Network Coding for Bidirectional Relaying

    Makesh Pravin Wilson;Krishna Narayanan;Henry D Pfister;Alex Sprintson

  • LDPC-based space-time coded OFDM systems over correlated fading channels: Performance analysis and receiver design

    B. Lu;Xiaodong Wang;K.R. Narayanan

  • Weakly Secure Network Coding

    Kapil Bhattad;Krishna R. Narayanan

  • A novel ARQ technique using the turbo coding principle

    K.R. Narayanan;G.L. Stuber

  • Joint Physical Layer Coding and Network Coding for Bi-Directional Relaying

    Makesh Pravin Wilson;Krishna Narayanan;Henry Pfister;Alex Sprintson

  • Iterative Soft-Input Soft-Output Decoding of Reed–Solomon Codes by Adapting the Parity-Check Matrix

    Jing Jiang;K.R. Narayanan

  • A serial concatenation approach to iterative demodulation and decoding

    K.R. Narayanan;G.L. Stuber

  • A Coded Compressed Sensing Scheme for Unsourced Multiple Access

    Vamsi K. Amalladinne;Jean-Francois Chamberland;Krishna R. Narayanan

  • Product accumulate codes: a class of codes with near-capacity performance and low decoding complexity

    Jing Li;K.R. Narayanan;C.N. Georghiades

  • Performance of trellis-coded CPM with iterative demodulation and decoding

    K.R. Narayanan;G.L. Stuber

  • Iterative collision resolution for slotted ALOHA: An optimal uncoordinated transmission policy

    Krishna R. Narayanan;Henry D. Pfister

  • Effect of precoding on the convergence of turbo equalization for partial response channels

    K.R. Narayanan

  • Iterative soft decoding of Reed-Solomon codes

    Jing Jiang;K.R. Narayanan

  • Minimal network coding for multicast

    K. Bhattad;N. Ratnakar;R. Koetter;K.R. Narayanan

  • On the performance of high-rate TPC/SPC codes and LDPC codes over partial response channels

    Jing Li;K.R. Narayanan;E. Kurtas;C.N. Georghiades

  • On the Distortion SNR Exponent of Hybrid Digital–Analog Space–Time Coding

    G. Caire;K. Narayanan

  • Approaching Capacity at High Rates With Iterative Hard-Decision Decoding

    Yung-Yih Jian;Henry D. Pfister;Krishna R. Narayanan

  • Polar Coding and Random Spreading for Unsourced Multiple Access

    Asit Kumar Pradhan;Vamsi K. Amalladinne;Krishna R. Narayanan;Jean-Francois Chamberland

  • Lattices Over Eisenstein Integers for Compute-and-Forward

    Nihat Engin Tunali;Yu-Chih Huang;Joseph J. Boutros;Krishna R. Narayanan

  • A Coupled Compressive Sensing Scheme for Uncoordinated Multiple Access.

    Vamsi K. Amalladinne;Avinash Vem;Dileep Kumar Soma;Krishna R. Narayanan

  • Variational Graph Recurrent Neural Networks

    Ehsan Hajiramezanali;Arman Hasanzadeh;Nick Duffield;Krishna R Narayanan

  • Semi-Implicit Graph Variational Auto-Encoders

    Arman Hasanzadeh;Ehsan Hajiramezanali;Krishna R. Narayanan;Nick Duffield

  • Bayesian Graph Neural Networks with Adaptive Connection Sampling

    Arman Hasanzadeh;Ehsan Hajiramezanali;Shahin Boluki;Nick Duffield

  • Iterative Soft-Input Soft-Output Decoding of Reed-Solomon Codes by Adapting the

    Parity-Check Matrix;Jing Jiang;Krishna R. Narayanan

Frequent Co-Authors

Henry D. Pfister
Henry D. Pfister Duke University
Costas N. Georghiades
Costas N. Georghiades Texas A&M University
Nick Duffield
Nick Duffield Texas A&M University
Gordon L. Stuber
Gordon L. Stuber Georgia Institute of Technology
Mingyuan Zhou
Mingyuan Zhou The University of Texas at Austin
Giuseppe Caire
Giuseppe Caire Technical University of Berlin
Zixiang Xiong
Zixiang Xiong Texas A&M University
Alex Sprintson
Alex Sprintson Texas A&M University
Ashish Khisti
Ashish Khisti University of Toronto
Dongning Guo
Dongning Guo Northwestern University

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