Puzzle Generation

Puzzle Generation is a methodological contribution in the field of computational puzzle design that systematically produces novel numerical riddles through algorithmic or rule-based construction processes distinct from mere solution inference or puzzle solving.

204

Publications

8.8K

Citations

454

Authors

203

Institutions

Publications per year

2017–2026

46

Authors

454

  1. JT
    Julian Togelius

    New York University, United States

    5 publications · 140 citations

    5

    h-index

  2. CF
    Chi‐Wing Fu

    Chinese University of Hong Kong, Hong Kong SAR China

    5 publications · 350 citations

    5

    h-index

  3. DS
    Dror Sholomon

    Bar-Ilan University, Israel

    4 publications · 140 citations

    4

    h-index

  4. OE
    Omid E. David

    Bar-Ilan University, Israel

    4 publications · 140 citations

    4

    h-index

  5. NS
    Nathan S. Netanyahu

    University of Maryland, College Park, United States

    4 publications · 140 citations

    4

    h-index

1–5 of 454

Venues

  1. 6

    h-index

  2. ACM Transactions on Graphics

    TOG · 5 publications · 319 citations

    5

    h-index

  3. ACM SIGCSE Bulletin

    3 publications · 244 citations

    3

    h-index

  4. Choice Reviews Online

    CRO · 3 publications · 137 citations

    3

    h-index

  5. IEEE Transactions on Games

    TG · 3 publications · 101 citations

    3

    h-index

1–5