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 32 Citations 5,065 157 World Ranking 7169 National Ranking 3374

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Algorithm
  • Telecommunications

Richard D. Wesel spends much of his time researching Low-density parity-check code, Algorithm, Theoretical computer science, Discrete mathematics and Communication channel. His Low-density parity-check code study is concerned with the field of Decoding methods as a whole. His Algorithm research is multidisciplinary, incorporating elements of Trellis modulation and Electronic engineering.

Richard D. Wesel has researched Theoretical computer science in several fields, including Node and Belief propagation decoding. Richard D. Wesel works mostly in the field of Discrete mathematics, limiting it down to topics relating to Block code and, in certain cases, Trellis, as a part of the same area of interest. His works in Fading and Equalization are all subjects of inquiry into Communication channel.

His most cited work include:

  • Multi-input multi-output fading channel tracking and equalization using Kalman estimation (411 citations)
  • Selective avoidance of cycles in irregular LDPC code construction (341 citations)
  • Multiple-rate low-density parity-check codes with constant blocklength (225 citations)

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

His primary areas of study are Algorithm, Communication channel, Decoding methods, Low-density parity-check code and Turbo code. His work on Theoretical computer science expands to the thematically related Algorithm. As part of the same scientific family, Richard D. Wesel usually focuses on Communication channel, concentrating on Electronic engineering and intersecting with Modulation, Spectral efficiency and Orthogonal frequency-division multiplexing.

His studies deal with areas such as Redundancy and Code as well as Decoding methods. The various areas that he examines in his Low-density parity-check code study include Discrete mathematics, Belief propagation and Factor graph. He interconnects Error detection and correction and Topology in the investigation of issues within Turbo code.

He most often published in these fields:

  • Algorithm (54.17%)
  • Communication channel (34.58%)
  • Decoding methods (33.33%)

What were the highlights of his more recent work (between 2017-2021)?

  • Algorithm (54.17%)
  • Decoding methods (33.33%)
  • Communication channel (34.58%)

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

Algorithm, Decoding methods, Communication channel, Low-density parity-check code and Convolutional code are his primary areas of study. Richard D. Wesel has included themes like Encoder, Transmission, Upper and lower bounds and Code in his Algorithm study. Data link is closely connected to Erasure in his research, which is encompassed under the umbrella topic of Decoding methods.

His Communication channel research is multidisciplinary, incorporating perspectives in Transmitter, Redundancy and Throughput. His biological study spans a wide range of topics, including Information bottleneck method, Belief propagation, Quantization and Parallel computing. His Convolutional code study combines topics in areas such as Cyclic redundancy check, Viterbi algorithm and Viterbi decoder.

Between 2017 and 2021, his most popular works were:

  • Serial List Viterbi Decoding with CRC: Managing Errors, Erasures, and Complexity (8 citations)
  • Decoding Rate-Compatible 5G-LDPC Codes With Coarse Quantization Using the Information Bottleneck Method (6 citations)
  • Capacities and Optimal Input Distributions for Particle-Intensity Channels (5 citations)

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

  • Statistics
  • Algorithm
  • Telecommunications

His primary scientific interests are in Decoding methods, Algorithm, Low-density parity-check code, Communication channel and Transmission. His work carried out in the field of Decoding methods brings together such families of science as Puncturing and Erasure. Richard D. Wesel frequently studies issues relating to Upper and lower bounds and Algorithm.

His work in Low-density parity-check code addresses subjects such as Information bottleneck method, which are connected to disciplines such as Parallel computing, Computational complexity theory, Quantization and Ranging. The study incorporates disciplines such as Wireless network, Throughput and Data link in addition to Communication channel. Richard D. Wesel combines subjects such as Encoder, Binary symmetric channel and Encoding with his study of Transmission.

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

Multi-input multi-output fading channel tracking and equalization using Kalman estimation

C. Komninakis;C. Fragouli;A.H. Sayed;R.D. Wesel.
IEEE Transactions on Signal Processing (2002)

542 Citations

Selective avoidance of cycles in irregular LDPC code construction

Tao Tian;C.R. Jones;J.D. Villasenor;R.D. Wesel.
IEEE Transactions on Communications (2004)

448 Citations

Multiple-rate low-density parity-check codes with constant blocklength

A.I.V. Casado;Wen-yen Weng;S. Valle;R. Wesel.
IEEE Transactions on Communications (2009)

345 Citations

Construction of irregular LDPC codes with low error floors

Tao Tian;C. Jones;J.D. Villasenor;R.D. Wesel.
international conference on communications (2003)

294 Citations

Multiple rate low-density parity-check codes with constant blocklength

A.I.V. Casado;Wen-Yen Weng;R.D. Wesel.
asilomar conference on signals, systems and computers (2004)

276 Citations

Achievable rates for Tomlinson-Harashima precoding

R.D. Wesel;J.M. Cioffi.
international symposium on information theory (1995)

186 Citations

Joint iterative channel estimation and decoding in flat correlated Rayleigh fading

C. Komninakis;R.D. Wesel.
IEEE Journal on Selected Areas in Communications (2001)

168 Citations

Soft Information for LDPC Decoding in Flash: Mutual-Information Optimized Quantization

Jiadong Wang;Thomas Courtade;Hari Shankar;Richard D. Wesel.
global communications conference (2011)

153 Citations

On the capacity of network coding for random networks

A. Ramamoorthy;Jun Shi;R.D. Wesel.
IEEE Transactions on Information Theory (2005)

149 Citations

Informed Dynamic Scheduling for Belief-Propagation Decoding of LDPC Codes

A.I. Vila Casado;M. Griot;R.D. Wesel.
international conference on communications (2007)

141 Citations

Best Scientists Citing Richard D. Wesel

Lajos Hanzo

Lajos Hanzo

University of Southampton

Publications: 24

Gianluigi Ferrari

Gianluigi Ferrari

University of Parma

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Dariush Divsalar

Dariush Divsalar

NASA Jet Propulsion Laboratory

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Paul H. Siegel

Paul H. Siegel

University of California, San Diego

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Amir H. Banihashemi

Amir H. Banihashemi

Carleton University

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Pingyi Fan

Pingyi Fan

Tsinghua University

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Rodney A. Kennedy

Rodney A. Kennedy

Australian National University

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Yong Liang Guan

Yong Liang Guan

Nanyang Technological University

Publications: 14

Muriel Medard

Muriel Medard

MIT

Publications: 14

Alex Sprintson

Alex Sprintson

Texas A&M University

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William E. Ryan

William E. Ryan

University of Arizona

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Giulio Colavolpe

Giulio Colavolpe

University of Parma

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Michael P. Fitz

Michael P. Fitz

University of California, Los Angeles

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Daniel J. Costello

Daniel J. Costello

University of Notre Dame

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Pramod K. Varshney

Pramod K. Varshney

Syracuse University

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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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