Grammar-based Compression

Grammar-Based Compression is a data compression method that belongs to the class of lossless compression techniques, distinguished by its use of a formal grammar to represent the input string as a context-free grammar that generates exactly that string, thereby enabling compression through the discovery of repeated patterns and structural regularities.

80

Publications

3.9K

Citations

175

Authors

92

Institutions

Publications per year

2017–2026

12

Authors

175

  1. GN
    Gonzalo Navarro

    University of Chile, Chile

    9 publications · 348 citations

    9

    h-index

  2. JC
    John C. Kieffer

    University of Minnesota, United States

    5 publications · 519 citations

    5

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  3. HS
    Hiroshi Sakamoto

    Kyushu University, Japan

    5 publications · 193 citations

    5

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  4. EY
    En‐hui Yang

    University of Waterloo, Canada

    5 publications · 519 citations

    5

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  5. AJ
    Artur Jeż

    University of Wrocław, Poland

    5 publications · 124 citations

    5

    h-index

1–5 of 175

Venues

  1. IEEE Transactions on Information Theory

    7 publications · 981 citations

    7

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  2. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)

    Repository · 4 publications · 80 citations

    4

    h-index

  3. Information and Computation

    3 publications · 53 citations

    3

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 25 citations

    2

    h-index

  5. Theoretical Computer Science

    2 publications · 356 citations

    2

    h-index

1–5