Scaling Limits

Scaling Limits is a theoretical construct that identifies the maximal performance or efficiency boundary attainable by a system, algorithm, or model as its scale—measured in resources, data, or complexity—approaches asymptotic or practical upper bounds.

171

Publications

10.8K

Citations

427

Authors

220

Institutions

Publications per year

2017–2026

38

Authors

427

  1. AB
    Alexei Borodin

    California Institute of Technology, United States

    5 publications · 368 citations

    5

    h-index

  2. CM
    Charles M. Newman

    Courant Institute of Mathematical Sciences, United States

    3 publications · 99 citations

    3

    h-index

  3. FX
    Feng Xiong

    Stanford University, United States

    3 publications · 248 citations

    3

    h-index

  4. EP
    Eric Pop

    Stanford University, United States

    3 publications · 248 citations

    3

    h-index

  5. MM
    Mark M. Meerschaert

    Michigan State University, United States

    3 publications · 190 citations

    3

    h-index

1–5 of 427

Venues

  1. Journal of High Energy Physics

    JHEP · 5 publications · 716 citations

    7

    h-index

  2. Communications in Mathematical Physics

    7 publications · 389 citations

    7

    h-index

  3. arXiv (Cornell University)

    Repository · 5 publications · 118 citations

    6

    h-index

  4. Physics Letters B

    4 publications · 60 citations

    4

    h-index

  5. The Annals of Probability

    4 publications · 124 citations

    4

    h-index

1–5