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
Parents
49
Young Anna Argyris, Zuhui Wang, Yongsuk Kim et al. · Computers in Human Behavior · 2020 · 193 citations
1–5 of 49
168
2
h-index
2
h-index
2
h-index
1
h-index
1
h-index
1–5 of 168
93
Columbia University
New York, United States
2 h-index
7 publications
295 citations
Sungkyunkwan University
Seoul, South Korea
2 h-index
2 publications
249 citations

Ghent University
Ghent, Belgium
2 h-index
3 publications
255 citations
National Opinion Research Center
Chicago, United States
1 h-index
4 publications
224 citations
Stony Brook University
Stony Brook, United States
1 h-index
2 publications
386 citations
Ocean Acoustical Services and Instrumentation Systems (United States)
Lexington, United States
1 h-index
1 publications
72 citations

Ollscoil na Gaillimhe – University of Galway
Galway, Ireland
1 h-index
2 publications
100 citations

University of Bergamo
Bergamo, Italy
1 h-index
2 publications
30 citations
1–8 of 93
JBR · 2 publications · 302 citations
2
h-index
2 publications · 88 citations
2
h-index
2 publications · 221 citations
2
h-index
1 publications · 50 citations
1
h-index
1 publications · 21 citations
1
h-index
1–5