Similarity Tests

Similarity Tests is a methodological framework within intellectual property law and trademark analysis that systematically evaluates the resemblance between two or more marks in terms of appearance, sound, meaning, or commercial impression to determine the likelihood of consumer confusion.

92

Publications

4K

Citations

299

Authors

137

Institutions

Publications per year

2017–2026

17

Authors

299

  1. JB
    Jian Bi

    PATH To Reading, United States

    5 publications · 156 citations

    5

    h-index

  2. AT
    A. Townsend Peterson

    University of Kansas, United States

    3 publications · 73 citations

    3

    h-index

  3. KL
    Kristin L. Wood

    Singapore University of Technology and Design, Singapore

    3 publications · 96 citations

    3

    h-index

  4. JJ
    Jacob Jacoby

    Purdue University West Lafayette, United States

    2 publications · 72 citations

    2

    h-index

  5. SL
    Shie-Jue Lee

    National Sun Yat-sen University, Taiwan

    2 publications · 197 citations

    2

    h-index

1–5 of 299

Venues

  1. Journal of Agricultural and Food Chemistry

    4 publications · 292 citations

    4

    h-index

  2. Journal of Marketing Research

    4 publications · 88 citations

    4

    h-index

  3. Journal of Sensory Studies

    3 publications · 79 citations

    3

    h-index

  4. Scientometrics

    3 publications · 193 citations

    3

    h-index

  5. Food Quality and Preference

    3 publications · 106 citations

    3

    h-index

1–5