D-Index & Metrics Best Publications

D-Index & Metrics 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.

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 12,497 253 World Ranking 5370 National Ranking 2631

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 Daniel J. Costello is best known for:

  • Forward error correction
  • Convolutional code
  • Block code

In his study, Circulant matrix is strongly linked to Discrete mathematics, which falls under the umbrella field of Cartesian product. His Discrete mathematics research extends to the thematically linked field of Circulant matrix. In his papers, he integrates diverse fields, such as Decoding methods and Code word. Daniel J. Costello integrates many fields, such as Code word and Decoding methods, in his works. His Algorithm study frequently draws connections to adjacent fields such as Error detection and correction. Daniel J. Costello regularly ties together related areas like Algorithm in his Error detection and correction studies. He merges many fields, such as Block code and Linear code, in his writings. Daniel J. Costello combines Linear code and Noisy-channel coding theorem in his research. His multidisciplinary approach integrates Noisy-channel coding theorem and Concatenated error correction code in his work.

His most cited work include:

  • LDPC Block and Convolutional Codes Based on Circulant Matrices (556 citations)
  • A distance spectrum interpretation of turbo codes (467 citations)
  • Channel coding: The road to channel capacity (320 citations)

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

His studies link Trellis modulation with Decoding methods. He regularly ties together related areas like Sequential decoding in his Block code studies. His study on Sequential decoding is mostly dedicated to connecting different topics, such as Block code. Daniel J. Costello integrates Concatenated error correction code and Low-density parity-check code in his studies. Daniel J. Costello performs integrative Low-density parity-check code and Concatenated error correction code research in his work. He undertakes multidisciplinary investigations into Convolutional code and Viterbi algorithm in his work. His study deals with a combination of Viterbi algorithm and Convolutional code. Daniel J. Costello merges Turbo code with Serial concatenated convolutional codes in his research. He performs integrative Serial concatenated convolutional codes and Linear code research in his work.

Daniel J. Costello most often published in these fields:

  • Algorithm (78.57%)
  • Decoding methods (71.43%)
  • Block code (50.00%)

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)

3827 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)

801 Citations

A distance spectrum interpretation of turbo codes

L.C. Perez;J. Seghers;D.J. Costello.
IEEE Transactions on Information Theory (1996)

711 Citations

Applications of error-control coding

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

509 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)

394 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)

373 Citations

A Network Coding Approach to Cooperative Diversity

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

370 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)

368 Citations

Trellis-coded multidimensional phase modulation

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

348 Citations

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