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

Authors

3.6K

  1. LG
    Lisa G. Johnston

    Tulane University, United States

    33 publications · 2.9K citations

    25

    h-index

  2. HF
    H. Fisher Raymond

    San Francisco Department of Public Health, United States

    32 publications · 1.8K citations

    24

    h-index

  3. DD
    Douglas D. Heckathorn

    Cornell University, United States

    25 publications · 12.8K citations

    23

    h-index

  4. WM
    Willi McFarland

    San Francisco Department of Public Health, United States

    30 publications · 2K citations

    20

    h-index

  5. SB
    Stefan Baral

    Johns Hopkins University, United States

    22 publications · 1.1K citations

    18

    h-index

1–5 of 3.6K

Venues

  1. PLoS ONE

    53 publications · 2.1K citations

    31

    h-index

  2. 29

    h-index

  3. AIDS and Behavior

    37 publications · 2.3K citations

    26

    h-index

  4. Sexually Transmitted Infections

    STI · 27 publications · 1.1K citations

    22

    h-index

  5. Public Opinion Quarterly

    POQ · 24 publications · 2.9K citations

    20

    h-index

1–5