Balanced Binary Search Trees

Balanced Binary Search Trees is a dynamic data structure that organizes elements in a binary tree format such that the height difference between the left and right subtrees of any node is constrained to ensure logarithmic height, thereby guaranteeing efficient search, insertion, and deletion operations.

60

Publications

3.6K

Citations

132

Authors

84

Institutions

Publications per year

2017–2026

7

Authors

132

  1. EM
    Edward M. Reingold

    University of Illinois Urbana-Champaign, United States

    2 publications · 313 citations

    2

    h-index

  2. JB
    Jonas Boström

    AstraZeneca (Sweden), Sweden

    2 publications · 262 citations

    2

    h-index

  3. RE
    Robert E. Tarjan

    Princeton University, United States

    2 publications · 91 citations

    2

    h-index

  4. GE
    Gregory E. Coxson

    Lockheed Martin (United States), United States

    2 publications · 92 citations

    2

    h-index

  5. GE
    Guy E. Blelloch

    Carnegie Mellon University, United States

    2 publications · 68 citations

    2

    h-index

1–5 of 132

Venues

  1. Communications of the ACM

    9 publications · 292 citations

    9

    h-index

  2. Information Processing Letters

    3 publications · 106 citations

    3

    h-index

  3. The Computer Journal

    2 publications · 49 citations

    2

    h-index

  4. Acta Informatica

    2 publications · 287 citations

    2

    h-index

  5. Journal of Functional Programming

    2 publications · 88 citations

    2

    h-index

1–5