Respondent-driven Sampling
Respondent-Driven Sampling is a network-based sampling method in survey research that leverages peer referral chains to recruit individuals from hidden or hard-to-reach populations, combining aspects of snowball sampling with statistical adjustments for recruitment bias.
970
Publications
74.9K
Citations
3.6K
Authors
1.2K
Institutions
Publications per year
2017–2026
325
Parents
970
1–5 of 970
3.6K
25
h-index
San Francisco Department of Public Health, United States
32 publications · 1.8K citations
24
h-index
23
h-index
San Francisco Department of Public Health, United States
30 publications · 2K citations
20
h-index
18
h-index
1–5 of 3.6K
1.2K
University of California, San Francisco
San Francisco, United States
34 h-index
122 publications
7.8K citations

Johns Hopkins University
Baltimore, United States
33 h-index
218 publications
9.5K citations

Centers for Disease Control and Prevention
Atlanta, United States
27 h-index
112 publications
5.1K citations
San Francisco Department of Public Health
San Francisco, United States
26 h-index
93 publications
5.9K citations

Cornell University
Ithaca, United States
25 h-index
41 publications
9K citations

Tulane University
New Orleans, United States
22 h-index
61 publications
3.4K citations

Fundação Oswaldo Cruz
Rio de Janeiro, Brazil
21 h-index
121 publications
5.2K citations
London School of Hygiene & Tropical Medicine
London, United Kingdom
20 h-index
81 publications
4.9K citations
1–8 of 1.2K
53 publications · 2.1K citations
31
h-index
44 publications · 2.5K citations
29
h-index
37 publications · 2.3K citations
26
h-index
STI · 27 publications · 1.1K citations
22
h-index
POQ · 24 publications · 2.9K citations
20
h-index
1–5