Space Complexity Analysis

Space Complexity Analysis is a theoretical evaluation method that characterizes the asymptotic growth of the amount of memory required by a Skip List in relation to the number of elements, distinguishing it from time-based performance analyses by focusing exclusively on storage consumption.

238

Publications

11.1K

Citations

601

Authors

334

Institutions

Publications per year

2017–2026

52

Parents

Authors

601

  1. NA
    Noga Alon

    Tel Aviv University, Israel

    3 publications · 2.1K citations

    3

    h-index

  2. MH
    Michael H. Böhlen

    Free University of Bozen-Bolzano, Italy

    3 publications · 64 citations

    3

    h-index

  3. CN
    Christophe Négre

    Université de Perpignan, France

    3 publications · 69 citations

    3

    h-index

  4. RC
    Roberto Cavoretto

    Collegio Carlo Alberto, Italy

    2 publications · 65 citations

    2

    h-index

  5. KZ
    Kun Zhao

    Qingdao University of Technology, China

    2 publications · 140 citations

    2

    h-index

1–5 of 601

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 381 citations

    11

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 5 publications · 170 citations

    5

    h-index

  3. IEEE Transactions on Computers

    5 publications · 186 citations

    5

    h-index

  4. Journal of Computer and System Sciences

    4 publications · 1.3K citations

    4

    h-index

  5. Theoretical Computer Science

    4 publications · 421 citations

    4

    h-index

1–5