D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 41 Citations 11,799 199 World Ranking 4283 National Ranking 100
Electronics and Electrical Engineering D-index 36 Citations 11,209 137 World Ranking 2273 National Ranking 47

Research.com Recognitions

Awards & Achievements

2017 - IEEE Fellow For contributions to network information theory

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Algorithm
  • Computer network

Michael Gastpar focuses on Communication channel, Algorithm, Decoding methods, Theoretical computer science and Wireless sensor network. His work carried out in the field of Communication channel brings together such families of science as Computer network and Linear network coding. In general Algorithm, his work in Compressed sensing is often linked to Linear equation linking many areas of study.

His studies deal with areas such as Transmitter, Additive white Gaussian noise, Discrete mathematics and Telecommunications link as well as Decoding methods. The various areas that Michael Gastpar examines in his Theoretical computer science study include CPU cache, Distributed source coding and Linear code. Many of his research projects under Relay are closely connected to Upper and lower bounds and Topology with Upper and lower bounds and Topology, tying the diverse disciplines of science together.

His most cited work include:

  • Cooperative strategies and capacity theorems for relay networks (2590 citations)
  • Compute-and-Forward: Harnessing Interference Through Structured Codes (979 citations)
  • To code, or not to code: lossy source-channel communication revisited (517 citations)

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

His scientific interests lie mostly in Communication channel, Algorithm, Theoretical computer science, Decoding methods and Computer network. His research integrates issues of Wireless sensor network, Control theory and Topology in his study of Communication channel. His work in Algorithm covers topics such as Additive white Gaussian noise which are related to areas like Gaussian noise.

His studies in Theoretical computer science integrate themes in fields like Block code, Linear code, Distributed source coding, Source code and Coding. His research in Decoding methods intersects with topics in Encoder and Lattice. Michael Gastpar combines subjects such as Wireless and Wireless network with his study of Computer network.

He most often published in these fields:

  • Communication channel (30.86%)
  • Algorithm (26.71%)
  • Theoretical computer science (23.44%)

What were the highlights of his more recent work (between 2015-2021)?

  • Theoretical computer science (23.44%)
  • Communication channel (30.86%)
  • Algorithm (26.71%)

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

Michael Gastpar spends much of his time researching Theoretical computer science, Communication channel, Algorithm, Decoding methods and Cache. His Theoretical computer science research is multidisciplinary, incorporating perspectives in Distributed data store, Linear network coding, Distributed source coding, Source code and Linear code. Michael Gastpar studies Communication channel, namely Channel capacity.

His research in Algorithm tackles topics such as Random variable which are related to areas like Conditional independence. His Decoding methods study frequently draws connections between related disciplines such as Network information theory. His research investigates the connection with Computer network and areas like Private information retrieval which intersect with concerns in Coding.

Between 2015 and 2021, his most popular works were:

  • A new converse bound for coded caching (62 citations)
  • Single-server Multi-message Private Information Retrieval with Side Information (35 citations)
  • Information-Theoretic Caching: Sequential Coding for Computing (32 citations)

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

  • Statistics
  • Computer network
  • Algorithm

The scientist’s investigation covers issues in Theoretical computer science, Decoding methods, Server, Cache and Communication channel. His Theoretical computer science study incorporates themes from CPU cache, Distributed source coding, Data exchange, Source code and Randomized algorithm. The subject of his Decoding methods research is within the realm of Algorithm.

His Cache study combines topics in areas such as Encoder and Coding. His Communication channel study integrates concerns from other disciplines, such as Linear code and List decoding, Concatenated error correction code. The study incorporates disciplines such as Secure transmission, Channel use and Channel capacity in addition to Computer network.

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.

Best Publications

Cooperative strategies and capacity theorems for relay networks

G. Kramer;M. Gastpar;P. Gupta.
IEEE Transactions on Information Theory (2005)

3032 Citations

Compute-and-Forward: Harnessing Interference Through Structured Codes

B. Nazer;M. Gastpar.
IEEE Transactions on Information Theory (2011)

1022 Citations

On the capacity of wireless networks: the relay case

M. Gastpar;M. Vetterli.
international conference on computer communications (2002)

660 Citations

To code, or not to code: lossy source-channel communication revisited

M. Gastpar;B. Rimoldi;M. Vetterli.
IEEE Transactions on Information Theory (2003)

530 Citations

Computation Over Multiple-Access Channels

B.. Nazer;M.. Gastpar.
international symposium on information theory (2007)

502 Citations

On Capacity Under Receive and Spatial Spectrum-Sharing Constraints

M. Gastpar.
allerton conference on communication, control, and computing (2007)

480 Citations

On the capacity of large Gaussian relay networks

M. Gastpar;M. Vetterli.
IEEE Transactions on Information Theory (2005)

402 Citations

Uncoded transmission is exactly optimal for a simple Gaussian "sensor" network

M. Gastpar.
information theory and applications (2007)

399 Citations

Source-channel communication in sensor networks

Michael Gastpar;Martin Vetterli.
information processing in sensor networks (2003)

334 Citations

Reliable Physical Layer Network Coding

B Nazer;M Gastpar.
Proceedings of the IEEE (2011)

267 Citations

Best Scientists Citing Michael Gastpar

Mikael Skoglund

Mikael Skoglund

Royal Institute of Technology

Publications: 100

Shlomo Shamai

Shlomo Shamai

Technion – Israel Institute of Technology

Publications: 72

Syed A. Jafar

Syed A. Jafar

University of California, Irvine

Publications: 71

Giuseppe Caire

Giuseppe Caire

Technical University of Berlin

Publications: 69

Deniz Gunduz

Deniz Gunduz

Imperial College London

Publications: 64

Osvaldo Simeone

Osvaldo Simeone

King's College London

Publications: 60

Andrea Goldsmith

Andrea Goldsmith

Princeton University

Publications: 59

H. Vincent Poor

H. Vincent Poor

Princeton University

Publications: 58

Soung Chang Liew

Soung Chang Liew

Chinese University of Hong Kong

Publications: 55

Jinhong Yuan

Jinhong Yuan

UNSW Sydney

Publications: 55

Aylin Yener

Aylin Yener

The Ohio State University

Publications: 52

Elza Erkip

Elza Erkip

New York University

Publications: 47

Sae-Young Chung

Sae-Young Chung

Korea Advanced Institute of Science and Technology

Publications: 45

Sennur Ulukus

Sennur Ulukus

University of Maryland, College Park

Publications: 45

Behnaam Aazhang

Behnaam Aazhang

Rice University

Publications: 42

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

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