World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
91
Citations
85522
World Ranking
281
National Ranking
137

Computer Science

D-Index
98
Citations
88005
World Ranking
394
National Ranking
217

David Tse 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 David Tse 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: 286 publications — 54th percentile

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

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

David Tse 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 David Tse 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: 91 D-Index — 96th percentile

96% 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 - IEEE Richard W. Hamming Medal “For seminal contributions to wireless network information theory and wireless network systems.”
  • 2018 - Member of the National Academy of Engineering For contributions to wireless network information theory.
  • 2017 - IEEE Claude E. Shannon Award

Overview

David Tse is affiliated with Stanford University in the United States and his research primarily spans the field of Computer Science. Within this broad field, his work focuses on subfields such as Artificial Intelligence, Computer Networks and Communications, Information Systems, Molecular Biology, and Management Science and Operations Research.

The main topics of David Tse's research include:

  • Distributed systems and fault tolerance
  • Blockchain Technology Applications and Security
  • Cryptography and Data Security
  • Machine Learning and Algorithms
  • Genomics and Phylogenetic Studies
  • Security and Verification in Computing
  • Peer-to-Peer Network Technologies

His recent scientific publications illustrate the range and depth of his work. Selected papers include:

  • "Determining sequencing depth in a single-cell RNA-seq experiment," 2020, published in Nature Communications
  • "Deconstructing Generative Adversarial Networks," 2020, published in IEEE Transactions on Information Theory
  • "Understanding GANs in the LQG Setting: Formulation, Generalization and Stability," 2020, published in IEEE Journal on Selected Areas in Information Theory
  • "Spectral Jaccard Similarity: A New Approach to Estimating Pairwise Sequence Alignments," 2020, published in Patterns
  • "Hidden Hamiltonian Cycle Recovery via Linear Programming," 2020, published in Operations Research

David Tse frequently collaborates with other researchers, with notable coauthors including Ertem Nusret Tas, Joachim Neu, Sreeram Kannan, Tavor Z. Baharav, and Srivatsan Sridhar. These collaborations contribute to a strong research network and multidisciplinary engagements.

His works have appeared in diverse publication venues. The most frequent venues include:

  • arXiv (Cornell University)
  • IEEE Journal on Selected Areas in Information Theory
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • IEEE Transactions on Information Theory

David Tse has received several awards recognizing his contributions to the field. These include the IEEE Richard W. Hamming Medal in 2019, cited for seminal contributions to wireless network information theory and wireless network systems, membership in the National Academy of Engineering in 2018 for contributions to wireless network information theory, and the IEEE Claude E. Shannon Award in 2017.

Best Publications

  • Fundamentals of Wireless Communication

    David Tse;Pramod Viswanath

  • Cooperative diversity in wireless networks: Efficient protocols and outage behavior

    J.N. Laneman;D.N.C. Tse;G.W. Wornell

  • Mobility increases the capacity of ad hoc wireless networks

    Matthias Grossglauser;David N. C. Tse

  • Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels

    Lizhong Zheng;D.N.C. Tse

  • Opportunistic beamforming using dumb antennas

    P. Viswanath;D.N.C. Tse;R. Laroia

  • Sum capacity of the vector Gaussian broadcast channel and uplink-downlink duality

    P. Viswanath;D.N.C. Tse

  • Gaussian Interference Channel Capacity to Within One Bit

    R.H. Etkin;D.N.C. Tse;Hua Wang

  • Spectrum sharing for unlicensed bands

    R. Etkin;A. Parekh;D. Tse

  • Multiaccess fading channels. I. Polymatroid structure, optimal resource allocation and throughput capacities

    D.N.C. Tse;S.V. Hanly

  • Capacity scaling in MIMO wireless systems under correlated fading

    Chen-Nee Chuah;D.N.C. Tse;J.M. Kahn;R.A. Valenzuela

  • Communication on the Grassmann manifold: a geometric approach to the noncoherent multiple-antenna channel

    Lizhong Zheng;D.N.C. Tse

  • Linear multiuser receivers: effective interference, effective bandwidth and user capacity

    D.N.C. Tse;S.V. Hanly

  • Wireless Network Information Flow: A Deterministic Approach

    A S Avestimehr;S N Diggavi;D N C Tse

  • An efficient protocol for realizing cooperative diversity in wireless networks

    J.N. Laneman;G.W. Wornell;D.N.C. Tse

  • Wireless Network Information Flow: A Deterministic Approach

    Salman Avestimehr;Suhas Diggavi;David Tse

  • Closing the Gap in the Capacity of Wireless Networks Via Percolation Theory

    M. Franceschetti;O. Dousse;D.N.C. Tse;P. Thiran

  • Hierarchical Cooperation Achieves Optimal Capacity Scaling in Ad Hoc Networks

    A. Ozgur;O. Leveque;D.N.C. Tse

  • Diversity-multiplexing tradeoff in multiple-access channels

    D.N.C. Tse;P. Viswanath;Lizhong Zheng

  • Completely Stale Transmitter Channel State Information is Still Very Useful

    Mohammad Ali Maddah-Ali;David Tse

  • Optimal power allocation over parallel Gaussian broadcast channels

    D.N. Tse

  • Closing the Gap in the Capacity of Wireless Networks

    Massimo Franceschetti;Olivier Dousse;David N. C. Tse;Patrick Thiran

  • Fundamentals of Wireless Communication: Preface

    David Tse;Pramod Viswanath

Frequent Co-Authors

Pramod Viswanath
Pramod Viswanath Princeton University
Suhas Diggavi
Suhas Diggavi University of California, Los Angeles
Changho Suh
Changho Suh Korea Advanced Institute of Science and Technology
Matthias Grossglauser
Matthias Grossglauser École Polytechnique Fédérale de Lausanne
Baosen Zhang
Baosen Zhang University of Washington
Ada S. Y. Poon
Ada S. Y. Poon Stanford University
Stephen V. Hanly
Stephen V. Hanly Macquarie University
Kannan Ramchandran
Kannan Ramchandran University of California, Berkeley
Venkat Anantharam
Venkat Anantharam University of California, Berkeley
Srinivasan Keshav
Srinivasan Keshav University of Cambridge

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