Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Jean-Marie Goethals

dblp:61/11 · DBLP profile ↗
← Back
10ranked-venue papers
7as first author
0since 2021 · last 1977
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 10 · 7 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
9 papers
Coding theory · 92% Combinatorics and discrete mathematics · 8%

Topics — the 18 heaviest of 18, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory › error-correcting codes › decoding
majority-logic decoding
0.021976
Generalized t-Designs and Majority Decoding of Linear Codes · Inf. Control. 1976
On a class of majority-logic decodable cyclic codes · IEEE Trans. Inf. Theory 1968
Coding theory › error-correcting codes › code classification
code equivalence
0.011977
The extended Nadler code is unique (Corresp.) · IEEE Trans. Inf. Theory 1977
Coding theory
distance distribution
0.011977
The extended Nadler code is unique (Corresp.) · IEEE Trans. Inf. Theory 1977
Coding theory
error-correcting codes
0.011977
The extended Nadler code is unique (Corresp.) · IEEE Trans. Inf. Theory 1977
Coding theory › error-correcting codes
code construction
0.011976
Nonlinear Codes Defined by Quadratic Forms over GF(2) · Inf. Control. 1976
Coding theory › error-correcting codes
nonlinear codes
0.011976
Nonlinear Codes Defined by Quadratic Forms over GF(2) · Inf. Control. 1976
Combinatorics and discrete mathematics › combinatorial design
t-design
0.011976
Generalized t-Designs and Majority Decoding of Linear Codes · Inf. Control. 1976
Coding theory › error-correcting codes
cyclic codes
0.031968
On a class of majority-logic decodable cyclic codes · IEEE Trans. Inf. Theory 1968
Factorization of cyclic codes · IEEE Trans. Inf. Theory 1967
Analysis of weight distribution in binary cyclic codes (Corresp.) · IEEE Trans. Inf. Theory 1966
Coding theory › error-correcting codes
weight distribution
0.021969
Tri-weight Codes and Generalized Hadamard Matrices · Inf. Control. 1969
Analysis of weight distribution in binary cyclic codes (Corresp.) · IEEE Trans. Inf. Theory 1966
Coding theory › error-correcting codes › reed-muller codes
generalized reed-muller codes
0.011970
On Generalized Reed-Muller Codes and Their Relatives · Inf. Control. 1970
Coding theory
hadamard matrices
0.011969
Tri-weight Codes and Generalized Hadamard Matrices · Inf. Control. 1969
Coding theory › error-correcting codes
reed-muller codes
0.011970
On Generalized Reed-Muller Codes and Their Relatives · Inf. Control. 1970
Coding theory › error-correcting codes › weight distribution
three-weight codes
0.011969
Tri-weight Codes and Generalized Hadamard Matrices · Inf. Control. 1969
Coding theory › error-correcting codes
decoding
0.011968
On a class of majority-logic decodable cyclic codes · IEEE Trans. Inf. Theory 1968
Coding theory › error-correcting codes › error detection
error-locating codes
0.011967
Cyclic Error-Locating Codes · Inf. Control. 1967
Coding theory › error-correcting codes › coding bounds
minimum distance bounds
0.011967
Factorization of cyclic codes · IEEE Trans. Inf. Theory 1967
Coding theory › error-correcting codes › block codes
linear code
0.011966
Analysis of weight distribution in binary cyclic codes (Corresp.) · IEEE Trans. Inf. Theory 1966
Coding theory › error-correcting codes › cyclic codes
binary cyclic code
0.011966
Analysis of weight distribution in binary cyclic codes (Corresp.) · IEEE Trans. Inf. Theory 1966

Methods — techniques the papers use, named apart from their topics

quadratic forms over finite fields · 0.0
YearPublicationVenuePosition
1977 The extended Nadler code is unique (Corresp.)
abstract
Constructions for a 32-word binary code of length 12 and minimum distance 5 were given by Nadler in 1962 and van Lint in 1972. These codes are not equivalent as their distance distributions are not the same. That their extended codes of length 13 are equivalent is proved. It is shown that up to a permutation of the coordinates, there is an essentially unique way to construct the extended code. This unique extended code contains only two inequivalent punctured codes of length 12.
Jean-Marie Goethals
IEEE Trans. Inf. Theory1
1976 Generalized t-Designs and Majority Decoding of Linear Codes
Edward F. Assmus Jr., Jean-Marie Goethals, Harold F. Mattson
Inf. Control.2
1976 Nonlinear Codes Defined by Quadratic Forms over GF(2)
Jean-Marie Goethals
Inf. Control.1
1976 Review of 'Graph Theory, Coding Theory and Block Designs' (Cameron, P. J., and van Lint, J. H.; 1975)
Jean-Marie Goethals
IEEE Trans. Inf. Theory1
1970 On Generalized Reed-Muller Codes and Their Relatives
Philippe Delsarte, Jean-Marie Goethals, F. Jessie MacWilliams
Inf. Control.2
1969 Tri-weight Codes and Generalized Hadamard Matrices
Philippe Delsarte, Jean-Marie Goethals
Inf. Control.2
1968 On a class of majority-logic decodable cyclic codes
abstract
A new infinite class of cyclic codes is studied. Codes of this class can be decoded in a step-by-step manner, using` majority logic. Some previously known codes fall in this class, and thus admit simpler decoding procedures. As random error-correcting codes, the codes are nearly as powerful as the Bose-Chaudhuri codes.
Jean-Marie Goethals, Philippe Delsarte
IEEE Trans. Inf. Theory1
1967 Cyclic Error-Locating Codes
Jean-Marie Goethals
Inf. Control.1
1967 Factorization of cyclic codes
abstract
A subclass of cyclic codes of composite block lengthn=n' \cdot n", withn'andn"relatively prime, is studied. It is shown how, under certain conditions, these codes may be factorized into subcodes of block lengthn'andn"and how they are related to codes of block lengthn'orn", over extension fields of the base field. The problem is, in a sense, the converse of the one considered by Burton and Weldon, [5] and some of our codes are subcodes of their product codes. The factorization property gives better insight into the structure of various codes and allows, in particular, to obtain new lower bounds on their minimum weight, hence improving in many cases on the Bose-Chaudhuri bound.
Jean-Marie Goethals
IEEE Trans. Inf. Theory1
1966 Analysis of weight distribution in binary cyclic codes (Corresp.)
Jean-Marie Goethals
IEEE Trans. Inf. Theory1