Guesswork

Guesswork is an information-theoretic metric that quantifies the minimum expected number of attempts required by an optimal strategy to sequentially determine the realization of a random variable, particularly in the context of brute-force guessing or decoding.

85

Publications

4.2K

Citations

115

Authors

68

Institutions

Publications per year

2017–2026

12

Authors

115

  1. KR
    Ken R. Duffy

    National University of Ireland, Maynooth, Ireland

    6 publications · 174 citations

    6

    h-index

  2. MM
    Muriel Médard

    Massachusetts Institute of Technology, United States

    5 publications · 109 citations

    5

    h-index

  3. MM
    Mark M. Christiansen

    National University of Ireland, Maynooth, Ireland

    5 publications · 152 citations

    5

    h-index

  4. RS
    Reto Spöhel

    ETH Zurich, Switzerland

    3 publications · 56 citations

    3

    h-index

  5. RC
    Robert Calderbank

    Duke University, United States

    3 publications · 63 citations

    3

    h-index

1–5 of 115

Venues

  1. IEEE Transactions on Information Theory

    7 publications · 563 citations

    7

    h-index

  2. Journal of Experimental Psychology

    3 publications · 49 citations

    3

    h-index

  3. The Electronic Journal of Combinatorics

    2 publications · 34 citations

    2

    h-index

  4. Information Processing Letters

    2 publications · 49 citations

    2

    h-index

  5. Mathematics Magazine

    2 publications · 61 citations

    2

    h-index

1–5