H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 33 Citations 3,951 119 World Ranking 6586 National Ranking 3145
Mathematics H-index 35 Citations 4,955 127 World Ranking 1415 National Ranking 616

Research.com Recognitions

Awards & Achievements

2008 - IEEE Fellow For contributions to coding theory

Overview

What is he best known for?

The fields of study he is best known for:

  • Combinatorics
  • Algebra
  • Discrete mathematics

The scientist’s investigation covers issues in Discrete mathematics, Combinatorics, Block code, Concatenated error correction code and Linear code. His Discrete mathematics research is multidisciplinary, relying on both Expander code, Decoding methods, Low-density parity-check code and Function. His Decoding methods research includes elements of Theoretical computer science, Distributed data store, Binary code, Data center and Channel capacity.

His Combinatorics study incorporates themes from Upper and lower bounds, Error detection and correction and Binary symmetric channel. His Concatenated error correction code study combines topics from a wide range of disciplines, such as Sequential decoding and Hamming code. His work in the fields of Linear code, such as Tornado code and Raptor code, intersects with other areas such as Multinomial distribution, Binomial distribution and Negative binomial distribution.

His most cited work include:

  • A Family of Optimal Locally Recoverable Codes (427 citations)
  • Bounds on packings of spheres in the Grassmann manifold (210 citations)
  • Minimal vectors in linear codes (198 citations)

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

His main research concerns Discrete mathematics, Combinatorics, Linear code, Decoding methods and Upper and lower bounds. His work deals with themes such as Expander code, Block code, Hamming code, Concatenated error correction code and Binary code, which intersect with Discrete mathematics. The various areas that Alexander Barg examines in his Concatenated error correction code study include Sequential decoding and Turbo code.

In the subject of general Combinatorics, his work in Finite collection is often linked to Maximum size, thereby combining diverse domains of study. His research in Decoding methods intersects with topics in Theoretical computer science and Communication channel, Channel capacity. His Upper and lower bounds study integrates concerns from other disciplines, such as Code word, Distributed data store, Reed–Solomon error correction, Field and Separable space.

He most often published in these fields:

  • Discrete mathematics (65.35%)
  • Combinatorics (40.16%)
  • Linear code (22.44%)

What were the highlights of his more recent work (between 2017-2021)?

  • Discrete mathematics (65.35%)
  • Upper and lower bounds (20.47%)
  • Bandwidth (4.72%)

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

Alexander Barg spends much of his time researching Discrete mathematics, Upper and lower bounds, Bandwidth, Construct and Node. His Discrete mathematics research integrates issues from Hamming space and Ball. His work carried out in the field of Upper and lower bounds brings together such families of science as Order, Code word, Minimax, Differential privacy and Asymptotically optimal algorithm.

His Bandwidth study also includes fields such as

  • Distributed data store that connect with fields like Finite field,
  • Link and Simple most often made with reference to Topology. The Construct study combines topics in areas such as Range and Theoretical computer science. Alexander Barg studied Field and Separable space that intersect with Combinatorics.

Between 2017 and 2021, his most popular works were:

  • Optimal Schemes for Discrete Distribution Estimation Under Locally Differential Privacy (70 citations)
  • Clay codes: moulding MDS codes to yield an MSR code (38 citations)
  • Combinatorial Alphabet-Dependent Bounds for Locally Recoverable Codes (30 citations)

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

  • Algebra
  • Combinatorics
  • Algorithm

His scientific interests lie mostly in Discrete mathematics, Upper and lower bounds, Code word, Distributed data store and Erasure code. Borrowing concepts from Approximation error, he weaves in ideas under Discrete mathematics. His Upper and lower bounds research incorporates themes from Separable space and Field.

The study incorporates disciplines such as Linear programming, Algebraic curve, Binary number and Coding theory in addition to Code word. His Distributed data store research incorporates themes from Codebase and Data center. His work carried out in the field of Erasure code brings together such families of science as Support vector machine and Parallel computing.

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.

Top Publications

A Family of Optimal Locally Recoverable Codes

Itzhak Tamo;Alexander Barg.
IEEE Transactions on Information Theory (2014)

427 Citations

Random codes: minimum distances and error exponents

A. Barg;G.D. Forney.
international symposium on information theory (2002)

295 Citations

Digital fingerprinting codes: problem statements, constructions, identification of traitors

A. Barg;G.R. Blakley;G.A. Kabatiansky.
IEEE Transactions on Information Theory (2003)

238 Citations

Minimal vectors in linear codes

A. Ashikhmin;A. Barg.
IEEE Transactions on Information Theory (1998)

234 Citations

Bounds on packings of spheres in the Grassmann manifold

A. Barg;D.Yu. Nogin.
IEEE Transactions on Information Theory (2002)

234 Citations

Complexity Issues in Coding Theory

Alexander Barg.
Electronic Colloquium on Computational Complexity (1997)

188 Citations

Codes in Permutations and Error Correction for Rank Modulation

Alexander Barg;Arya Mazumdar.
IEEE Transactions on Information Theory (2010)

170 Citations

Error exponents of expander codes

A. Barg;G. Zemor.
international symposium on information theory (2001)

160 Citations

Explicit Constructions of High-Rate MDS Array Codes With Optimal Repair Bandwidth

Min Ye;Alexander Barg.
IEEE Transactions on Information Theory (2017)

143 Citations

Polar Codes for Q-Ary Channels, $q=2^{r}$

W. Park;A. Barg.
IEEE Transactions on Information Theory (2013)

132 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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