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
Parents
7
Trademark shapes description by string-matching techniques
G.M. Cortelazzo, G.A. Mian, G. Vezzi et al. · Pattern Recognition · 1994 · 115 citations
Benjamin Bachrach, Anurag Jain, Sung Eun Jung et al. · Journal of Forensic Sciences · 2010 · 45 citations
Engineering, Manufacturing Engineering, Materials Characterization +12
Gestalt-based feature similarity measure in trademark database
Hui Jiang, Chong‐Wah Ngo, Hung‐Khoon Tan · Pattern Recognition · 2005 · 36 citations · Full text
Law, Data Science, Data Mining +12
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11
Cardiff University
Cardiff, United Kingdom
2 h-index
5 publications
63 citations

University of Padua
Padua, Italy
1 h-index
3 publications
345 citations
Federal Bureau of Investigation
Washington, United States
1 h-index
1 publications
45 citations
Intelligent Automation (United States)
Rockville, United States
1 h-index
3 publications
135 citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
1 h-index
1 publications
34 citations
Stanford University
Stanford, United States
1 h-index
1 publications
36 citations
Technische Universität Braunschweig
Braunschweig, Germany
1 h-index
1 publications
115 citations
Multimedia University
Malacca, Malaysia
1 h-index
1 publications
12 citations
1–8 of 11
3 publications · 192 citations
3
h-index
JOFS · 1 publications · 45 citations
1
h-index
1 publications · 34 citations
1
h-index
1 publications · 12 citations
1
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1 publications · 13 citations
1
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1–5