What is he best known for?
The fields of study he is best known for:
- Algebra
- Computer network
- Telecommunications
His primary scientific interests are in Discrete mathematics, Lattice, Combinatorics, Decoding methods and Fading.
His studies deal with areas such as Additive white Gaussian noise, Block code and Algebraic number as well as Discrete mathematics.
His Lattice research integrates issues from Algorithm, Channel code, Secrecy and Coding.
His work on Computational complexity theory as part of general Algorithm research is frequently linked to Sphere packing, thereby connecting diverse disciplines of science.
He integrates many fields in his works, including Decoding methods and Space time.
His Fading research is multidisciplinary, incorporating perspectives in MIMO and Topology.
His most cited work include:
- Lattice code decoder for space-time codes (764 citations)
- The golden code: a 2/spl times/2 full-rate space-time code with nonvanishing determinants (761 citations)
- Perfect Space–Time Block Codes (463 citations)
What are the main themes of his work throughout his whole career to date?
Decoding methods, Discrete mathematics, Communication channel, Topology and Lattice are his primary areas of study.
His study with Decoding methods involves better knowledge in Algorithm.
In his work, Space–time code is strongly intertwined with Code, which is a subfield of Algorithm.
His work carried out in the field of Discrete mathematics brings together such families of science as Combinatorics, Additive white Gaussian noise, Block code, Linear code and Algebraic number.
His Communication channel research is multidisciplinary, incorporating elements of Relay, Multiplexing and Computer network.
His study looks at the intersection of Lattice and topics like Coding with Wireless.
He most often published in these fields:
- Decoding methods (28.39%)
- Discrete mathematics (25.00%)
- Communication channel (24.15%)
What were the highlights of his more recent work (between 2015-2020)?
- Discrete mathematics (25.00%)
- Decoding methods (28.39%)
- Lattice (23.31%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Discrete mathematics, Decoding methods, Lattice, Fading and Topology.
His Discrete mathematics research incorporates themes from Combinatorics, Additive white Gaussian noise, Polar code, Linear code and Puncturing.
Decoding methods is a subfield of Algorithm that he investigates.
In his research, Eavesdropping and Coset is intimately related to Unimodular matrix, which falls under the overarching field of Lattice.
As part of the same scientific family, Jean-Claude Belfiore usually focuses on Fading, concentrating on Algebraic number and intersecting with Communication channel and Algebraic number field.
His study explores the link between Topology and topics such as MIMO that cross with problems in Channel state information and Transmitter.
Between 2015 and 2020, his most popular works were:
- Beta-Expansion: A Theoretical Framework for Fast and Recursive Construction of Polar Codes (88 citations)
- Lattice Codes for the Wiretap Gaussian Channel: Construction and Analysis (84 citations)
- Multi-kernel construction of polar codes (47 citations)
In his most recent research, the most cited papers focused on:
- Algebra
- Telecommunications
- Computer network
His primary areas of study are Decoding methods, Algorithm, Discrete mathematics, Theoretical computer science and Lattice.
His studies in Decoding methods integrate themes in fields like MIMO and Topology.
His biological study spans a wide range of topics, including Short Code and Puncturing.
His Discrete mathematics research focuses on subjects like Additive white Gaussian noise, which are linked to Number theory and Applied mathematics.
His Theoretical computer science research includes themes of Forward error correction and Variable-length code, Coding.
His Lattice study combines topics in areas such as Coset, Combinatorics and Fading.
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