H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 35 Citations 10,574 166 World Ranking 5837 National Ranking 2823

Research.com Recognitions

Awards & Achievements

1986 - IEEE Fellow For contributions to coding for reliable communication and to engineering education.

Overview

What is he best known for?

The fields of study he is best known for:

  • Telecommunications
  • Algorithm
  • Statistics

His primary areas of investigation include Convolutional code, Block code, Algorithm, Concatenated error correction code and Turbo code. He interconnects Discrete mathematics, Theoretical computer science, Communication channel, Low-density parity-check code and Parity bit in the investigation of issues within Block code. The Algorithm study combines topics in areas such as Encoder, Phase-shift keying and Bit error rate.

Daniel J. Costello is involved in the study of Concatenated error correction code that focuses on Serial concatenated convolutional codes in particular. Daniel J. Costello combines subjects such as Concatenation, Sequential decoding and Error floor with his study of Serial concatenated convolutional codes. His research investigates the connection between Turbo code and topics such as Linear code that intersect with problems in Turbo equalizer.

His most cited work include:

  • Error control coding : fundamentals and applications (3769 citations)
  • Automatic-repeat-request error-control schemes (911 citations)
  • LDPC block and convolutional codes based on circulant matrices (611 citations)

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

His scientific interests lie mostly in Algorithm, Low-density parity-check code, Block code, Concatenated error correction code and Convolutional code. His research in Algorithm intersects with topics in Theoretical computer science, Encoder, Communication channel, Bit error rate and Upper and lower bounds. He works mostly in the field of Block code, limiting it down to topics relating to Discrete mathematics and, in certain cases, Combinatorics.

His Concatenated error correction code research is multidisciplinary, incorporating perspectives in Sequential decoding and Linear code. His Convolutional code research focuses on subjects like Error detection and correction, which are linked to Automatic repeat request. His Serial concatenated convolutional codes research integrates issues from Parallel computing, Turbo code and Error floor.

He most often published in these fields:

  • Algorithm (52.31%)
  • Low-density parity-check code (50.00%)
  • Block code (48.08%)

What were the highlights of his more recent work (between 2014-2021)?

  • Low-density parity-check code (50.00%)
  • Algorithm (52.31%)
  • Decoding methods (41.15%)

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

Daniel J. Costello mainly focuses on Low-density parity-check code, Algorithm, Decoding methods, Block code and Concatenated error correction code. His studies deal with areas such as Discrete mathematics and Theoretical computer science as well as Low-density parity-check code. The concepts of his Algorithm study are interwoven with issues in Upper and lower bounds, Puncturing and Code.

His work on Convolutional code as part of general Decoding methods research is frequently linked to Sliding window protocol, thereby connecting diverse disciplines of science. His research integrates issues of Real-time computing, Sequential decoding and Linear code in his study of Concatenated error correction code. Much of his study explores Linear code relationship to Turbo code.

Between 2014 and 2021, his most popular works were:

  • Spatially Coupled LDPC Codes Constructed From Protographs (160 citations)
  • Performance Comparison of LDPC Block and Spatially Coupled Codes Over GF $(q)$ (37 citations)
  • Randomly Punctured LDPC Codes (35 citations)

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

  • Telecommunications
  • Statistics
  • Algorithm

Daniel J. Costello spends much of his time researching Low-density parity-check code, Decoding methods, Block code, Concatenated error correction code and Discrete mathematics. His Decoding methods study deals with the bigger picture of Algorithm. His Error floor study in the realm of Algorithm connects with subjects such as Sliding window protocol.

His research investigates the connection between Concatenated error correction code and topics such as Linear code that intersect with issues in Turbo code. His research in Discrete mathematics intersects with topics in Unification, Information theory and Algebraic method, Algebraic number. His biological study deals with issues like Sequential decoding, which deal with fields such as List decoding and Convolutional code.

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

Error control coding : fundamentals and applications

Shu Lin;Daniel J. Costello.
(1983)

4292 Citations

Automatic-repeat-request error-control schemes

Shu Lin;D. Costello;M. Miller.
IEEE Communications Magazine (1984)

1380 Citations

LDPC block and convolutional codes based on circulant matrices

R.M. Tanner;D. Sridhara;A. Sridharan;T.E. Fuja.
IEEE Transactions on Information Theory (2004)

766 Citations

Applications of error-control coding

D.J. Costello;J. Hagenauer;H. Imai;S.B. Wicker.
IEEE Transactions on Information Theory (1998)

489 Citations

Bandwidth efficient coding for fading channels: code construction and performance analysis

C. Schlegel;D.J. Costello.
IEEE Journal on Selected Areas in Communications (1989)

376 Citations

Iterative Decoding Threshold Analysis for LDPC Convolutional Codes

Michael Lentmaier;Arvind Sridharan;Daniel J Costello;Kamil Sh Zigangirov.
IEEE Transactions on Information Theory (2010)

371 Citations

A Network Coding Approach to Cooperative Diversity

Lei Xiao;T. Fuja;J. Kliewer;D. Costello.
IEEE Transactions on Information Theory (2007)

369 Citations

Bandwidth- and power-efficient routing in linear wireless networks

M. Sikora;J.N. Laneman;M. Haenggi;D.J. Costello.
IEEE Transactions on Information Theory (2006)

364 Citations

Trellis-coded multidimensional phase modulation

S.S. Pietrobon;R.H. Deng;A. Lafanechere;G. Ungerboeck.
IEEE Transactions on Information Theory (1990)

338 Citations

Error Control Coding, Second Edition

Shu Lin;Daniel J. Costello.
(2004)

317 Citations

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