Influencer Classification

Influencer Classification is a methodological framework within influencer analysis that systematically categorizes social media users based on their influence characteristics, reach, engagement patterns, and domain relevance to distinguish distinct types of influencers in digital ecosystems.

49

Publications

2.6K

Citations

168

Authors

93

Institutions

Publications per year

2017–2026

38

Authors

168

  1. SR
    Sara Rosenthal

    Columbia University, United States

    2 publications · 74 citations

    2

    h-index

  2. SK
    Seungbae Kim

    University of California, Los Angeles, United States

    2 publications · 75 citations

    2

    h-index

  3. KM
    Kathleen McKeown

    Columbia University, United States

    2 publications · 74 citations

    2

    h-index

  4. XJ
    Xilun Jin

    University of Illinois Urbana-Champaign, United States

    1 publications · 13 citations

    1

    h-index

  5. SP
    Sara Pabian

    University of Antwerp, Belgium

    1 publications · 125 citations

    1

    h-index

1–5 of 168

Venues

  1. Journal of Business Research

    JBR · 2 publications · 302 citations

    2

    h-index

  2. Tobacco Control

    2 publications · 88 citations

    2

    h-index

  3. Computers in Human Behavior

    2 publications · 221 citations

    2

    h-index

  4. Health Promotion International

    1 publications · 50 citations

    1

    h-index

  5. Multimedia Tools and Applications

    1 publications · 21 citations

    1

    h-index

1–5