H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 72 Citations 67,081 220 World Ranking 697 National Ranking 422
Electronics and Electrical Engineering H-index 74 Citations 75,062 201 World Ranking 209 National Ranking 117

Research.com Recognitions

Awards & Achievements

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

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • Statistics
  • Telecommunications

His scientific interests lie mostly in Communication channel, Channel capacity, Computer network, Fading and Topology. His Communication channel study focuses on MIMO in particular. David Tse has included themes like Markov process, Power control, Signal-to-noise ratio, Mathematical optimization and Algorithm in his Channel capacity study.

The study incorporates disciplines such as Wireless, Wireless ad hoc network, Throughput and Wireless network in addition to Computer network. His Fading research integrates issues from Spatial correlation, Antenna diversity, Code division multiple access, Multipath propagation and Channel state information. His work in the fields of Topology, such as Upper and lower bounds, overlaps with other areas such as Generalization.

His most cited work include:

  • Cooperative diversity in wireless networks: Efficient protocols and outage behavior (11586 citations)
  • Fundamentals of Wireless Communication (7044 citations)
  • Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels (4029 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Communication channel, Computer network, Topology, Algorithm and Channel capacity. His Communication channel research is mostly focused on the topic Fading. His studies in Computer network integrate themes in fields like Wireless, Wireless ad hoc network, Throughput and Wireless network.

His work in Wireless addresses issues such as MIMO, which are connected to fields such as Multiplexing and Antenna. His biological study deals with issues like Interference, which deal with fields such as Transmission. The Channel capacity study combines topics in areas such as Signal-to-noise ratio, Noise and Decoding methods.

He most often published in these fields:

  • Communication channel (27.46%)
  • Computer network (25.22%)
  • Topology (20.31%)

What were the highlights of his more recent work (between 2016-2021)?

  • Artificial intelligence (4.46%)
  • Algorithm (17.19%)
  • Computer network (25.22%)

In recent papers he was focusing on the following fields of study:

David Tse mainly focuses on Artificial intelligence, Algorithm, Computer network, Machine learning and Cluster analysis. His research in Artificial intelligence tackles topics such as Pattern recognition which are related to areas like Pairwise comparison. His Algorithm study incorporates themes from Sampling and Gradient descent.

Many of his research projects under Computer network are closely connected to Ledger with Ledger, tying the diverse disciplines of science together. He undertakes multidisciplinary investigations into Market liquidity and Communication channel in his work. His Gaussian channels study in the realm of Communication channel interacts with subjects such as Extension.

Between 2016 and 2021, his most popular works were:

  • Longitudinal multi-omics of host–microbe dynamics in prediabetes (133 citations)
  • HINGE: long-read assembly achieves optimal repeat resolution (63 citations)
  • HINGE: long-read assembly achieves optimal repeat resolution (63 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Computer network
  • Artificial intelligence

David Tse mostly deals with Algorithm, Machine learning, Artificial intelligence, Software and Blockchain. The concepts of his Algorithm study are interwoven with issues in Sampling, Molecule and Code. His work on Artificial neural network and Supervised learning as part of general Machine learning study is frequently linked to Matrix norm, therefore connecting diverse disciplines of science.

His Artificial intelligence study integrates concerns from other disciplines, such as Mathematical optimization, Linear-quadratic-Gaussian control and Generalizability theory. His work deals with themes such as Database transaction, Computer network and Scaling, which intersect with Blockchain. His work focuses on many connections between Scaling and other disciplines, such as Adversary, that overlap with his field of interest in Security analysis and Network delay.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Cooperative diversity in wireless networks: Efficient protocols and outage behavior

J.N. Laneman;D.N.C. Tse;G.W. Wornell.
IEEE Transactions on Information Theory (2004)

14824 Citations

Fundamentals of Wireless Communication

David Tse;Pramod Viswanath.
(2005)

13536 Citations

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

Lizhong Zheng;D.N.C. Tse.
IEEE Transactions on Information Theory (2003)

5273 Citations

Opportunistic beamforming using dumb antennas

P. Viswanath;D.N.C. Tse;R. Laroia.
international symposium on information theory (2002)

4839 Citations

Mobility increases the capacity of ad hoc wireless networks

Matthias Grossglauser;David N. C. Tse.
IEEE ACM Transactions on Networking (2002)

4022 Citations

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

P. Viswanath;D.N.C. Tse.
IEEE Transactions on Information Theory (2003)

1502 Citations

Gaussian Interference Channel Capacity to Within One Bit

R.H. Etkin;D.N.C. Tse;Hua Wang.
IEEE Transactions on Information Theory (2008)

1460 Citations

Spectrum sharing for unlicensed bands

R. Etkin;A. Parekh;D. Tse.
IEEE Journal on Selected Areas in Communications (2007)

1276 Citations

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

D.N.C. Tse;S.V. Hanly.
IEEE Transactions on Information Theory (1998)

1248 Citations

Capacity scaling in MIMO wireless systems under correlated fading

Chen-Nee Chuah;D.N.C. Tse;J.M. Kahn;R.A. Valenzuela.
IEEE Transactions on Information Theory (2002)

1189 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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