Mark Similarity Analysis

Mark Similarity Analysis is a methodological framework within consumer confusion analysis that systematically evaluates the resemblance between trademarks in terms of visual, phonetic, and conceptual attributes to assess the likelihood of consumer deception or confusion.

7

Publications

296

Citations

19

Authors

11

Institutions

Publications per year

2017–2026

1

Authors

19

  1. FM
    Fatahiyah Mohd Anuar

    Cardiff University, United Kingdom

    2 publications · 25 citations

    2

    h-index

  2. RS
    Rossitza Setchi

    Cardiff University, United Kingdom

    2 publications · 25 citations

    2

    h-index

  3. RS
    Raimondo Schettini

    University of Milano-Bicocca, Italy

    1 publications · 41 citations

    1

    h-index

  4. AJ
    Anurag Jain

    Johns Hopkins University, United States

    1 publications · 45 citations

    1

    h-index

  5. HT
    Hung‐Khoon Tan

    City University of Hong Kong, Hong Kong SAR China

    1 publications · 36 citations

    1

    h-index

1–5 of 19

Venues

  1. Pattern Recognition

    3 publications · 192 citations

    3

    h-index

  2. Journal of Forensic Sciences

    JOFS · 1 publications · 45 citations

    1

    h-index

  3. Advanced Engineering Informatics

    1 publications · 34 citations

    1

    h-index

  4. Expert Systems with Applications

    1 publications · 12 citations

    1

    h-index

  5. Procedia Computer Science

    1 publications · 13 citations

    1

    h-index

1–5