World's Best Scientists 2026 revealed!
William E. Ryan

William E. Ryan

D-Index & Metrics

Computer Science

D-Index
33
Citations
6866
World Ranking
12451
National Ranking
5048

Overview

What is he best known for?

The fields of study he is best known for:

  • Telecommunications
  • Algorithm
  • Electrical engineering

His scientific interests lie mostly in Low-density parity-check code, Concatenated error correction code, Algorithm, Turbo code and Linear code. His Low-density parity-check code research is multidisciplinary, relying on both EXIT chart, Phase-shift keying, Gray code and Arithmetic. His research in Concatenated error correction code intersects with topics in Discrete mathematics and Theoretical computer science.

His work is dedicated to discovering how Algorithm, Bit error rate are connected with Link adaptation and Orthogonal frequency-division multiplexing and other disciplines. His Linear code study is associated with Block code. His Decoding methods study integrates concerns from other disciplines, such as Error detection and correction and Code.

His most cited work include:

  • Channel Codes: Classical and Modern (559 citations)
  • Design of efficiently encodable moderate-length high-rate irregular LDPC codes (300 citations)
  • An Introduction to LDPC Codes (175 citations)

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

William E. Ryan mainly focuses on Algorithm, Low-density parity-check code, Communication channel, Concatenated error correction code and Turbo code. His Algorithm study incorporates themes from Code rate and Bit error rate. His research integrates issues of Discrete mathematics, Polynomial code, Error detection and correction and Reed–Solomon error correction in his study of Low-density parity-check code.

His Communication channel study combines topics from a wide range of disciplines, such as Viterbi algorithm and Detector. His Concatenated error correction code research integrates issues from Linear code and Error floor. His work deals with themes such as Theoretical computer science, Convolutional code, Encoder, Forward error correction and Puncturing, which intersect with Turbo code.

He most often published in these fields:

  • Algorithm (53.24%)
  • Low-density parity-check code (43.88%)
  • Communication channel (38.85%)

What were the highlights of his more recent work (between 2007-2021)?

  • Low-density parity-check code (43.88%)
  • Algorithm (53.24%)
  • Decoding methods (28.78%)

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

William E. Ryan spends much of his time researching Low-density parity-check code, Algorithm, Decoding methods, Concatenated error correction code and Communication channel. His study in Low-density parity-check code is interdisciplinary in nature, drawing from both Discrete mathematics and Block code. His studies in Algorithm integrate themes in fields like Code rate, Additive white Gaussian noise and Bit error rate.

His Decoding methods research incorporates elements of Graph theory, Theoretical computer science and Code. William E. Ryan focuses mostly in the field of Concatenated error correction code, narrowing it down to topics relating to Error detection and correction and, in certain cases, Encoder. His Turbo code research includes elements of Cyclic code, Serial concatenated convolutional codes, Convolutional code and Forward error correction.

Between 2007 and 2021, his most popular works were:

  • Channel Codes: Classical and Modern (559 citations)
  • Low-floor decoders for LDPC codes (137 citations)
  • Coding for Optical Channels (112 citations)

Best Publications

  • Channel Codes: Classical and Modern

    William E. Ryan;Shu Lin

  • Design of efficiently encodable moderate-length high-rate irregular LDPC codes

    M. Yang;W.E. Ryan;Yan Li

  • An Introduction to LDPC Codes

    William E. Ryan

  • Coding for Optical Channels

    Ivan Djordjevic;William Ryan;Bane Vasic

  • Punctured turbo-codes for BPSK/QPSK channels

    O.F. Acikel;W.E. Ryan

  • Low-floor decoders for LDPC codes

    Yang Han;W. Ryan

  • Efficient error-correcting codes in the short blocklength regime

    Mustafa Cemil Coskun;Mustafa Cemil Coskun;Giuseppe Durisi;Thomas Jerkovits;Gianluigi Liva

  • Adaptive Modulation and Coding for IEEE 802.11n

    Fei Peng;Jinyun Zhang;W.E. Ryan

  • Quasi-Cyclic Generalized LDPC Codes With Low Error Floors

    Gianluigi Liva;William E. Ryan;Marco Chiani

  • Performance of high rate turbo codes on a PR4-equalized magnetic recording channel

    W.E. Ryan

  • Design of LDPC Codes: A Survey and New Results

    Gianluigi Liva;Shumei Song;Lan Lan;Yifei Zhang

  • Bit-reliability mapping in LDPC-coded modulation systems

    Y. Li;W.E. Ryan

  • Enumerators for Protograph-Based Ensembles of LDPC and Generalized LDPC Codes

    S Abu-Surra;D Divsalar;W E Ryan

  • 2-D Magnetic Recording: Read Channel Modeling and Detection

    A.R. Krishnan;R. Radhakrishnan;B. Vasic;A. Kavcic

  • Concatenated Convolutional Codes and Iterative Decoding

    William E. Ryan

  • LDPC decoder strategies for achieving low error floors

    Yang Han;W.E. Ryan

  • Mutual-Information-Based Adaptive Bit-Loading Algorithms for LDPC-Coded OFDM

    Yan Li;W.E. Ryan

  • Performance of adaptive Volterra equalizers on nonlinear magnetic recording channels

    W.E. Ryan;A. Gutierrez

  • Toward low LDPC-code floors: a case study

    Yifei Zhang;W. Ryan

  • Structured IRA Codes: Performance Analysis and Construction

    Yifei Zhang;W.E. Ryan

Frequent Co-Authors

Shu Lin
Shu Lin University of California, Davis
Khaled Abdel-Ghaffar
Khaled Abdel-Ghaffar University of California, Davis
Bane Vasic
Bane Vasic University of Arizona
Daniel J. Costello
Daniel J. Costello University of Notre Dame
Ivan B. Djordjevic
Ivan B. Djordjevic University of Arizona
Ali Ghrayeb
Ali Ghrayeb Hamad bin Khalifa University
Gianluigi Liva
Gianluigi Liva German Aerospace Center
Dariush Divsalar
Dariush Divsalar Jet Propulsion Lab
Marco Chiani
Marco Chiani University of Bologna
Aleksandar Kavcic
Aleksandar Kavcic University of Hawaii at Manoa

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