Likelihood Of Blurring

Likelihood of Blurring is a legal criterion in trademark law that belongs to the category of dilution standards, differentiated by its focus on the probability that a famous mark’s distinctiveness will be impaired due to the similarity between marks in a manner that blurs the unique association between the mark and its source.

Publications

173

Citations

Authors

Institutions

Publications per year

2017–2026

Parents

Dilution By Blurring

Publications

Brand Dilution: When Do New Brands Hurt Existing Brands?

Chris Pullig, Carolyn J. Simmons, Richard G. Netemeyer · Journal of Marketing · 2006 · 79 citations

Business, Marketing, Marketing Management +14

Efficient fusion scheme for multi-focus images by using blurring measure

Yingjie Zhang, Liling Ge · Digital Signal Processing · 2008 · 52 citations

Computing, Vision Science, Computer Vision +11

Brand Dilution: When Do New Brands Hurt Existing Brands?

Chris Pullig, Carolyn J. Simmons, Richard G. Netemeyer · Journal of Marketing · 2006 · 42 citations

Business, Marketing, Marketing Management +14

1–3 of 3

Authors

RG
Richard G. Netemeyer
University of Virginia, United States
2 publications · 121 citations
2
h-index
CJ
Carolyn J. Simmons
Williams (United States), United States
2 publications · 121 citations
2
h-index
CP
Chris Pullig
Baylor University, United States
2 publications · 121 citations
2
h-index
LG
Liling Ge
Xi'an University of Technology, China
1 publications · 52 citations
1
h-index
YZ
Yingjie Zhang
Xi'an Jiaotong University, China
1 publications · 52 citations
1
h-index

1–5 of 5

Institutions

1–7 of 7

Venues

Journal of Marketing
JM · 2 publications · 121 citations
2
h-index
Digital Signal Processing
1 publications · 52 citations
1
h-index

1–2