Recursion Tree Analysis

Recursion Tree Analysis is a methodological framework in algorithm analysis that systematically visualizes and sums the costs of recursive subproblems across levels of a tree structure to determine the time complexity of divide-and-conquer algorithms.

17

Publications

1.1K

Citations

35

Authors

22

Institutions

Publications per year

2017–2026

1

Variants

Recursion Tree Method

Authors

35

  1. MK
    Markus Kuba

    TU Wien, Austria

    2 publications · 22 citations

    2

    h-index

  2. AP
    Alois Panholzer

    TU Wien, Austria

    2 publications · 22 citations

    2

    h-index

  3. SC
    Stephen Chong

    Harvard University Press, United States

    1 publications · 30 citations

    1

    h-index

  4. LP
    Luís Paquete

    University of Coimbra, Portugal

    1 publications · 487 citations

    1

    h-index

  5. PC
    Peter C. Fishburn

    AT&T (United States), United States

    1 publications · 11 citations

    1

    h-index

1–5 of 35

Venues

  1. Theoretical Computer Science

    3 publications · 137 citations

    3

    h-index

  2. 1

    h-index

  3. Acta Informatica

    1 publications · 23 citations

    1

    h-index

  4. Mathematical Biosciences

    1 publications · 80 citations

    1

    h-index

  5. Journal of Systems and Software

    JSS · 1 publications · 17 citations

    1

    h-index

1–5