Communication Matrix

A Communication Matrix is a mathematical representation in communication complexity that encodes the outputs of a two-party function for all possible combinations of inputs, where rows correspond to inputs of one party and columns to inputs of the other, serving as a foundational structure to analyze the minimum information exchange required to compute the function.

76

Publications

4.8K

Citations

163

Authors

107

Institutions

Publications per year

2017–2026

18

Authors

163

  1. RD
    Ronald de Wolf

    Centrum Wiskunde & Informatica, Netherlands

    5 publications · 239 citations

    5

    h-index

  2. MG
    Mika Göös

    University of Toronto, Canada

    4 publications · 146 citations

    4

    h-index

  3. TW
    Thomas Watson

    University of Toronto, Canada

    4 publications · 146 citations

    4

    h-index

  4. ND
    Nikil Dutt

    University of California, Irvine, United States

    3 publications · 82 citations

    3

    h-index

  5. ZQ
    Zhihua Qu

    University of Central Florida, United States

    3 publications · 379 citations

    3

    h-index

1–5 of 163

Venues

  1. IEEE Transactions on Automatic Control

    3 publications · 384 citations

    3

    h-index

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

    Repository · 2 publications · 31 citations

    2

    h-index

  3. ArXiv.org

    Repository · 2 publications · 26 citations

    2

    h-index

  4. American Journal of Speech-Language Pathology

    2 publications · 73 citations

    2

    h-index

  5. arXiv (Cornell University)

    Repository · 2 publications · 91 citations

    2

    h-index

1–5