Functional Data Structures

Functional Data Structures is a class of persistent data structures designed to support efficient, immutable operations within functional programming paradigms by ensuring that updates produce new versions without altering the original, thereby preserving referential transparency.

147

Publications

7.9K

Citations

275

Authors

148

Institutions

Publications per year

2017–2026

20

Authors

275

  1. CO
    Chris Okasaki

    Carnegie Mellon University, United States

    5 publications · 137 citations

    5

    h-index

  2. RE
    Robert E. Tarjan

    Princeton University, United States

    4 publications · 116 citations

    4

    h-index

  3. GK
    Gabriele Keller

    UNSW Sydney, Australia

    3 publications · 207 citations

    3

    h-index

  4. GA
    Germán Aneiros

    Universidade da Coruña, Spain

    3 publications · 81 citations

    3

    h-index

  5. ME
    Martin Erwig

    Oregon State University, United States

    3 publications · 156 citations

    3

    h-index

1–5 of 275

Venues

  1. ACM SIGPLAN Notices

    10 publications · 350 citations

    10

    h-index

  2. Journal of Functional Programming

    7 publications · 590 citations

    7

    h-index

  3. Electronic Notes in Theoretical Computer Science

    ENTCS · 5 publications · 72 citations

    5

    h-index

  4. Journal of Multivariate Analysis

    3 publications · 72 citations

    3

    h-index

  5. Software Practice and Experience

    3 publications · 39 citations

    3

    h-index

1–5