Information Theory

Information theory is a mathematical field that studies the quantification of information and the fundamental problems of signal transmission, reception, and processing through communication channels using principles from probability theory.

79.5K

Publications

5.6M

Citations

81.5K

Authors

8.4K

Institutions

Publications per year

2017–2026

16K

Authors

81.5K

  1. HV
    H. Vincent Poor

    Princeton University, United States

    481 publications · 47.4K citations

    99

    h-index

  2. GB
    Georgios B. Giannakis

    University of Minnesota, United States

    209 publications · 24.9K citations

    81

    h-index

  3. SS
    Shlomo Shamai

    Technion – Israel Institute of Technology, Israel

    305 publications · 34.3K citations

    78

    h-index

  4. SV
    Sergio Verdú

    Princeton University, United States

    203 publications · 33.5K citations

    74

    h-index

  5. ZD
    Zhiguo Ding

    University of Manchester, United Kingdom

    216 publications · 24.2K citations

    72

    h-index

1–5 of 81.5K

Venues

  1. IEEE Transactions on Information Theory

    5.6K publications · 781.7K citations

    356

    h-index

  2. IEEE Transactions on Communications

    3.8K publications · 302.5K citations

    223

    h-index

  3. IEEE Transactions on Signal Processing

    2.6K publications · 234.5K citations

    211

    h-index

  4. Physical Review Letters

    PRL · 983 publications · 197.9K citations

    193

    h-index

  5. Physical Review A

    PRA · 1.6K publications · 155.1K citations

    177

    h-index

1–5

See also

Information Theory

Core Measures

Coding Theorems

Channel Models

Core Methods

Applications