Data Compression

Data Compression is a data reduction technique that belongs to the class of information encoding methods, distinguished by its use of algorithms to represent data in a smaller form while preserving essential information for storage efficiency and retrieval.

29.2K

Publications

1.7M

Citations

46.9K

Authors

5.6K

Institutions

Publications per year

2017–2026

6.4K

Authors

46.9K

  1. BG
    Bernd Girod

    Stanford University, United States

    132 publications · 11.6K citations

    51

    h-index

  2. TW
    Thomas Wiegand

    Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Germany

    122 publications · 26.6K citations

    48

    h-index

  3. TE
    Touradj Ebrahimi

    École Polytechnique Fédérale de Lausanne, Switzerland

    101 publications · 8.3K citations

    45

    h-index

  4. RG
    Richard G. Baraniuk

    Rice University, United States

    70 publications · 14.3K citations

    44

    h-index

  5. SM
    Siwei Ma

    Peking University, China

    130 publications · 6K citations

    42

    h-index

1–5 of 46.9K

Venues

  1. 149

    h-index

  2. IEEE Transactions on Image Processing

    829 publications · 139.5K citations

    133

    h-index

  3. IEEE Transactions on Information Theory

    530 publications · 92.8K citations

    106

    h-index

  4. IEEE Transactions on Signal Processing

    333 publications · 41.9K citations

    84

    h-index

  5. 77

    h-index

1–5