Coding Theory

Coding Theory is a branch of combinatorics that studies the properties of codes and their fitness for specific applications, distinguished by its focus on the construction, analysis, and optimization of error-detecting and error-correcting codes for reliable data transmission and storage.

35.9K

Publications

2M

Citations

35.4K

Authors

4.7K

Institutions

Publications per year

2017–2026

5.6K

Authors

35.4K

  1. KR
    Kannan Ramchandran

    University of California, Berkeley, United States

    118 publications · 13K citations

    52

    h-index

  2. CD
    Cunsheng Ding

    Hong Kong University of Science and Technology, Hong Kong SAR China

    101 publications · 7.9K citations

    52

    h-index

  3. NJ
    N. J. A. Sloane

    Mathematical Sciences Research Institute, United States

    85 publications · 16.5K citations

    51

    h-index

  4. MM
    Muriel Médard

    Massachusetts Institute of Technology, United States

    146 publications · 15.9K citations

    51

    h-index

  5. DD
    D. Divsalar

    Jet Propulsion Laboratory, United States

    112 publications · 10.8K citations

    49

    h-index

1–5 of 35.4K

Venues

  1. IEEE Transactions on Information Theory

    5K publications · 522.5K citations

    279

    h-index

  2. IEEE Transactions on Communications

    2.2K publications · 141.7K citations

    152

    h-index

  3. IEEE Journal on Selected Areas in Communications

    510 publications · 47.7K citations

    113

    h-index

  4. IEEE Transactions on Wireless Communications

    847 publications · 44.6K citations

    88

    h-index

  5. IEEE Communications Letters

    1K publications · 47K citations

    86

    h-index

1–5