Algebrization

Algebrization is a theoretical framework in computational complexity theory that extends the relativization barrier by incorporating algebraic techniques to analyze the power and limitations of complexity classes relative to oracles equipped with algebraic structures.

86

Publications

10.1K

Citations

150

Authors

102

Institutions

Publications per year

2017–2026

4

Authors

150

  1. DE
    Donald E. Knuth

    Stanford University, United States

    3 publications · 5.4K citations

    3

    h-index

  2. DK
    Dexter Kozen

    Cornell University, United States

    3 publications · 426 citations

    3

    h-index

  3. AW
    Avi Wigderson

    Hebrew University of Jerusalem, Israel

    3 publications · 237 citations

    3

    h-index

  4. JH
    John H. Reif

    Duke University, United States

    3 publications · 284 citations

    3

    h-index

  5. SA
    Scott Aaronson

    Massachusetts Institute of Technology, United States

    3 publications · 237 citations

    3

    h-index

1–5 of 150

Venues

  1. Theoretical Computer Science

    4 publications · 182 citations

    4

    h-index

  2. Journal of Pure and Applied Algebra

    3 publications · 70 citations

    3

    h-index

  3. Journal of Algebra

    3 publications · 97 citations

    3

    h-index

  4. Foundations of Computational Mathematics

    2 publications · 62 citations

    2

    h-index

  5. Journal of Computer and System Sciences

    2 publications · 234 citations

    2

    h-index

1–5