Document Sampling
Document Sampling is a methodological technique in document review that systematically selects a subset of documents from a larger corpus to enable efficient and representative analysis while maintaining the integrity of the overall dataset.
22
Publications
1.6K
Citations
63
Authors
34
Institutions
Publications per year
2017–2026
3
Parents
22
Random sampling from a search engine's index
Ziv Bar-Yossef, Maxim Gurevich · 2006 · 120 citations
Random sampling from a search engine's index
Ziv Bar-Yossef, Maxim Gurevich · Journal of the ACM · 2008 · 113 citations
1–5 of 22
63
University of North Carolina at Chapel Hill, United States
3 publications · 594 citations
3
h-index
3
h-index
2
h-index
2
h-index
1
h-index
1–5 of 63
34
Michigan State University
East Lansing, United States
3 h-index
3 publications
594 citations
Stanford University
Stanford, United States
2 h-index
5 publications
289 citations
Scripps (United States)
Cincinnati, United States
2 h-index
2 publications
151 citations
Technion – Israel Institute of Technology
Haifa, Israel
2 h-index
4 publications
466 citations
Microsoft (United States)
Redmond, United States
2 h-index
2 publications
271 citations
Ohio University
Athens, United States
2 h-index
2 publications
151 citations

Northern Illinois University
DeKalb, United States
1 h-index
1 publications
443 citations
University of Applied Sciences Rapperswil
Rapperswil, Switzerland
1 h-index
3 publications
30 citations
1–8 of 34
JMCQ · 2 publications · 151 citations
2
h-index
ORM · 1 publications · 12 citations
1
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Repository · 1 publications · 10 citations
1
h-index
1 publications · 29 citations
1
h-index
Repository · 1 publications · 16 citations
1
h-index
1–5