Sumset Estimates

Sumset Estimates is a theoretical framework in additive combinatorics that quantifies the growth and structure of the sumset of two finite sets in an abelian group, distinguished by its reliance on inequalities relating the cardinality of the sumset to the additive energy and structural properties of the underlying sets.

86

Publications

3.2K

Citations

91

Authors

75

Institutions

Publications per year

2017–2026

5

Authors

91

  1. IZ
    Imre Z. Ruzsa

    Hungarian Academy of Sciences, Hungary

    7 publications · 334 citations

    7

    h-index

  2. ID
    Ilya D. Shkredov

    Steklov Mathematical Institute, Russia

    6 publications · 185 citations

    6

    h-index

  3. SE
    Shalom Eliahou

    Université du littoral côte d'opale, France

    6 publications · 133 citations

    6

    h-index

  4. MK
    Michel Kervaire

    University of Geneva, Switzerland

    6 publications · 133 citations

    6

    h-index

  5. TT
    Terence Tao

    University of California, Los Angeles, United States

    6 publications · 389 citations

    6

    h-index

1–5 of 91

Venues

  1. Journal of Number Theory

    10 publications · 234 citations

    10

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  2. arXiv (Cornell University)

    Repository · 8 publications · 179 citations

    8

    h-index

  3. COMBINATORICA

    7 publications · 478 citations

    7

    h-index

  4. Acta Arithmetica

    5 publications · 74 citations

    4

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  5. Advances in Mathematics

    3 publications · 272 citations

    3

    h-index

1–5