2026 David Tse: Electronics and Electrical Engineering Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	98	394	382	217	209	358	88005
Electronics and Electrical Engineering	91	281	274	136	129	286	85522

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

16505
Citations
Cooperative diversity in wireless networks: Efficient protocols and outage behavior

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

15489
Citations
Mobility increases the capacity of ad hoc wireless networks

Matthias Grossglauser;David N. C. Tse

8249
Citations
Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels

Lizhong Zheng;D.N.C. Tse

5605
Citations
Opportunistic beamforming using dumb antennas

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

4684
Citations
Sum capacity of the vector Gaussian broadcast channel and uplink-downlink duality

P. Viswanath;D.N.C. Tse

1589
Citations
Gaussian Interference Channel Capacity to Within One Bit

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

1569
Citations
Spectrum sharing for unlicensed bands

R. Etkin;A. Parekh;D. Tse

1550
Citations
Multiaccess fading channels. I. Polymatroid structure, optimal resource allocation and throughput capacities

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

1292
Citations
Capacity scaling in MIMO wireless systems under correlated fading

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

1244
Citations
Communication on the Grassmann manifold: a geometric approach to the noncoherent multiple-antenna channel

Lizhong Zheng;D.N.C. Tse

1195
Citations
Linear multiuser receivers: effective interference, effective bandwidth and user capacity

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

1146
Citations
Wireless Network Information Flow: A Deterministic Approach

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

963
Citations
An efficient protocol for realizing cooperative diversity in wireless networks

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

944
Citations
Wireless Network Information Flow: A Deterministic Approach

Salman Avestimehr;Suhas Diggavi;David Tse

928
Citations
Closing the Gap in the Capacity of Wireless Networks Via Percolation Theory

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

853
Citations
Hierarchical Cooperation Achieves Optimal Capacity Scaling in Ad Hoc Networks

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

831
Citations
Diversity-multiplexing tradeoff in multiple-access channels

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

705
Citations
Completely Stale Transmitter Channel State Information is Still Very Useful

Mohammad Ali Maddah-Ali;David Tse

636
Citations
Optimal power allocation over parallel Gaussian broadcast channels

D.N. Tse

630
Citations
Closing the Gap in the Capacity of Wireless Networks

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

4
Citations
Fundamentals of Wireless Communication: Preface

David Tse;Pramod Viswanath

0
Citations

Frequent Co-Authors

Pramod Viswanath Princeton University

Suhas Diggavi University of California, Los Angeles

Changho Suh Korea Advanced Institute of Science and Technology

Matthias Grossglauser École Polytechnique Fédérale de Lausanne

Ada S. Y. Poon Stanford University

Kannan Ramchandran University of California, Berkeley

Stephen V. Hanly Macquarie University

Venkat Anantharam University of California, Berkeley

Srinivasan Keshav University of Cambridge

Robert W. Brodersen University of California, Berkeley

External Links

Wikipedia of David Tse Personal website of David Tse Google Scholar page

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