Scale-Up Experiments is a policy experimentation strategy that systematically expands the scope, size, or complexity of pilot interventions to assess their efficacy, feasibility, and sustainability under broader or more generalized conditions.
168
Publications
23.7K
Citations
746
Authors
297
Institutions
Publications per year
2017–2026
68
Parents
Publications
168
Fast algorithms for mining association rules
Rakesh Agrawal, Ramakrishnan Srikant · 1998 · 10.8K citations
R. K. Agrawal, Ramakrishnan Srikant · 2002 · 5.1K citations
Reproducible Scaling Laws for Contrastive Language-Image Learning
Mehdi Cherti, Romain Beaumont, Ross Wightman et al. · 2023 · 496 citations
Brian Lent, A. Swami, Jennifer Widom · 2002 · 376 citations
1–5 of 168
Authors
746
- SW
4
h-index
- DS
3
h-index
- AK
3
h-index
- BC
3
h-index
- OA
3
h-index
1–5 of 746
Institutions
297
Stanford University
Stanford, United States
5 h-index
13 publications
2.7K citations
Zhejiang University
Hangzhou, China
4 h-index
16 publications
1K citations
Osaka Prefecture University
Sakai, Japan
4 h-index
11 publications
228 citations
University of Chicago
Chicago, United States
4 h-index
9 publications
560 citations
National Bureau of Economic Research
Cambridge, United States
4 h-index
14 publications
1.5K citations
Chinese Academy of Sciences
Beijing, China
3 h-index
15 publications
349 citations
University of Science and Technology of China
Hefei, China
3 h-index
17 publications
553 citations
University of Washington
Seattle, United States
3 h-index
8 publications
1.7K citations
1–8 of 297
Venues
- Industrial & Engineering Chemistry Research
6 publications · 190 citations
6
h-index
- RSC Advances
5 publications · 117 citations
5
h-index
- Organic Process Research & Development
5 publications · 98 citations
5
h-index
- Organic Letters
OL · 5 publications · 199 citations
4
h-index
- Chemical and Pharmaceutical Bulletin
4 publications · 85 citations
4
h-index
1–5