Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Is That Car Smiling at Me? Schema Congruity as a Basis for Evaluating Anthropomorphized Products
2007736 citationsPankaj Aggarwal, Ann L. McGillJournal of Consumer Researchprofile →
The Effects of Brand Relationship Norms on Consumer Attitudes and Behavior
2004715 citationsPankaj AggarwalJournal of Consumer Researchprofile →
When Brands Seem Human, Do Humans Act Like Brands? Automatic Behavioral Priming Effects of Brand Anthropomorphism
2012392 citationsPankaj Aggarwal, Ann L. McGillJournal of Consumer Researchprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Pankaj Aggarwal
Since
Specialization
Citations
This map shows the geographic impact of Pankaj Aggarwal's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pankaj Aggarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pankaj Aggarwal more than expected).
This network shows the impact of papers produced by Pankaj Aggarwal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pankaj Aggarwal. The network helps show where Pankaj Aggarwal may publish in the future.
Co-authorship network of co-authors of Pankaj Aggarwal
This figure shows the co-authorship network connecting the top 25 collaborators of Pankaj Aggarwal.
A scholar is included among the top collaborators of Pankaj Aggarwal based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Pankaj Aggarwal. Pankaj Aggarwal is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Dong, Ping & Pankaj Aggarwal. (2016). Partner Or Servant? When Relationship Type Affects Trait Expectations and Evaluations of the Brand. ACR North American Advances.3 indexed citations
9.
Aggarwal, Pankaj & Valerie S. Folkes. (2015). Knowledge About a Product’S Creator and Its Effect on Product Anthropomorphism. ACR North American Advances.1 indexed citations
10.
Puzakova, Marina & Pankaj Aggarwal. (2015). To Wink Or Not to Wink? the Role of Anthropomorphism, Power, and Gender Stereotypes in Luxury Branding. ACR North American Advances.5 indexed citations
Maeng, Ahreum & Pankaj Aggarwal. (2014). Striving For Superiority: Face Ratio, Anthropomorphism and Product Preference. ACR North American Advances.1 indexed citations
Aggarwal, Pankaj & Ann L. McGill. (2012). When Brands Seem Human, Do Humans Act Like Brands? Automatic Behavioral Priming Effects of Brand Anthropomorphism. Journal of Consumer Research. 39(2). 307–323.392 indexed citations breakdown →
Aggarwal, Pankaj & Ann L. McGill. (2007). Is That Car Smiling at Me? Schema Congruity as a Basis for Evaluating Anthropomorphized Products. Journal of Consumer Research. 34(4). 468–479.736 indexed citations breakdown →
Aggarwal, Pankaj. (2004). The Effects of Brand Relationship Norms on Consumer Attitudes and Behavior. Journal of Consumer Research. 31(1). 87–101.715 indexed citations breakdown →
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.