Algorithmic Scalability

Algorithmic Scalability is the property of an algorithmic process that determines its ability to maintain efficiency and performance as the scale of input or problem size increases, distinguished from broader system-level scalability by its exclusive focus on the intrinsic computational behavior and resource consumption patterns of the algorithm itself.

115

Publications

5.8K

Citations

421

Authors

203

Institutions

Publications per year

2017–2026

53

Authors

421

  1. SC
    Suqi Cheng

    Chinese Academy of Sciences, China

    3 publications · 272 citations

    3

    h-index

  2. JH
    Junming Huang

    Chinese Academy of Sciences, China

    3 publications · 272 citations

    3

    h-index

  3. HS
    Huawei Shen

    Chinese Academy of Sciences, China

    3 publications · 272 citations

    3

    h-index

  4. XC
    Xueqi Cheng

    Chinese Academy of Sciences, China

    3 publications · 272 citations

    3

    h-index

  5. CB
    Christian Bock

    ETH Zurich, Switzerland

    2 publications · 40 citations

    2

    h-index

1–5 of 421

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 434 citations

    11

    h-index

  2. SIAM Journal on Scientific Computing

    3 publications · 215 citations

    3

    h-index

  3. 2

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 32 citations

    2

    h-index

  5. Repository for Publications and Research Data (ETH Zurich)

    Repository · 2 publications · 31 citations

    2

    h-index

1–5