Unique Visitors Analysis

Unique Visitors Analysis is a methodological approach in web analytics that quantifies the number of distinct individual users accessing digital content over a specified period, differentiated from general traffic analysis by its focus on user-level identification to eliminate重复 visits from the same user.

42

Publications

3K

Citations

132

Authors

79

Institutions

Publications per year

2017–2026

17

Authors

132

  1. MF
    M.H. Franco Wong

    University of Toronto, Canada

    2 publications · 463 citations

    2

    h-index

  2. JC
    Justin Cranshaw

    Carnegie Mellon University, United States

    2 publications · 462 citations

    2

    h-index

  3. XZ
    Xiao‐Jun Zhang

    University of California, Berkeley, United States

    2 publications · 463 citations

    2

    h-index

  4. BT
    Brett Trueman

    University of California, Los Angeles, United States

    2 publications · 463 citations

    2

    h-index

  5. ET
    Eran Toch

    Tel Aviv University, Israel

    2 publications · 462 citations

    2

    h-index

1–5 of 132

Venues

  1. Journal of Medical Internet Research

    5 publications · 424 citations

    5

    h-index

  2. SSRN Electronic Journal

    Repository · 3 publications · 217 citations

    3

    h-index

  3. PubMed

    Repository · 2 publications · 77 citations

    2

    h-index

  4. PLoS ONE

    2 publications · 68 citations

    2

    h-index

  5. Journal of Accounting Research

    JAR · 1 publications · 321 citations

    1

    h-index

1–5