Pankaj Aggarwal

3.6k total citations · 3 hit papers
22 papers, 2.6k citations indexed

About

Pankaj Aggarwal is a scholar working on Marketing, Sociology and Political Science and Experimental and Cognitive Psychology. According to data from OpenAlex, Pankaj Aggarwal has authored 22 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Marketing, 12 papers in Sociology and Political Science and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Pankaj Aggarwal's work include Consumer Behavior in Brand Consumption and Identification (14 papers), Digital Marketing and Social Media (5 papers) and Evolutionary Psychology and Human Behavior (5 papers). Pankaj Aggarwal is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (14 papers), Digital Marketing and Social Media (5 papers) and Evolutionary Psychology and Human Behavior (5 papers). Pankaj Aggarwal collaborates with scholars based in Canada, United States and Hong Kong. Pankaj Aggarwal's co-authors include Ann L. McGill, Marina Puzakova, Nina Mažar, Richard P. Larrick, Min Zhao, Ahreum Maeng, Meng Zhang, Mengze Shi, Baljinder Singh and Ping Dong and has published in prestigious journals such as Journal of Marketing Research, Journal of Consumer Research and Psychological Science.

In The Last Decade

Pankaj Aggarwal

21 papers receiving 2.4k citations

Hit Papers

Is That Car Smiling at Me? Schema Congruity as a Basis fo... 2004 2026 2011 2018 2007 2004 2012 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pankaj Aggarwal Canada 13 1.5k 1.4k 644 539 338 22 2.6k
Gita Venkataramani Johar United States 31 1.7k 1.1× 1.4k 1.0× 414 0.6× 330 0.6× 168 0.5× 89 3.0k
Ann L. McGill United States 21 1.9k 1.2× 1.7k 1.2× 945 1.5× 428 0.8× 586 1.7× 69 3.6k
Stijn M. J. van Osselaer United States 24 1.6k 1.1× 1.1k 0.8× 485 0.8× 541 1.0× 81 0.2× 60 2.7k
Sukki Yoon United States 31 1.6k 1.1× 1.4k 1.0× 428 0.7× 236 0.4× 167 0.5× 89 2.6k
Lauren I. Labrecque United States 20 1.7k 1.1× 2.0k 1.4× 727 1.1× 333 0.6× 151 0.4× 40 3.4k
Rohini Ahluwalia United States 18 1.9k 1.2× 1.6k 1.1× 441 0.7× 687 1.3× 84 0.2× 33 2.9k
Felix Septianto Australia 28 1.4k 0.9× 1.2k 0.9× 490 0.8× 259 0.5× 84 0.2× 127 2.5k
Matteo De Angelis Italy 26 1.5k 1.0× 1.2k 0.9× 311 0.5× 445 0.8× 154 0.5× 55 2.4k
H. Rao Unnava United States 26 2.3k 1.5× 1.7k 1.2× 605 0.9× 700 1.3× 86 0.3× 48 3.5k
Tina M. Lowrey United States 27 2.1k 1.4× 1.1k 0.8× 523 0.8× 370 0.7× 73 0.2× 65 3.2k

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).

Fields of papers citing papers by Pankaj Aggarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

All Works

20 of 20 papers shown
1.
Wan, Jing & Pankaj Aggarwal. (2024). A second life for second-hand products: the role of anthropomorphism and taboo trade-offs. European Journal of Marketing. 58(13). 184–204. 1 indexed citations
2.
Zhang, Meng, et al.. (2024). Retail Karma: How Our Shopping Sins Influence Evaluation of Service Failures. Journal of Consumer Research. 51(5). 1027–1046.
3.
Maeng, Ahreum & Pankaj Aggarwal. (2022). The Face of Political Beliefs: Why Gender Matters for Electability. Journal of the Association for Consumer Research. 7(3). 360–370. 1 indexed citations
4.
Aggarwal, Pankaj, et al.. (2019). The 3 C's of anthropomorphism: Connection, comprehension, and competition. 3(1). 3–19. 84 indexed citations
5.
Aggarwal, Pankaj & Mengze Shi. (2018). Monogamous versus Polygamous Brand Relationships. Journal of the Association for Consumer Research. 3(2). 188–201. 12 indexed citations
6.
Maeng, Ahreum & Pankaj Aggarwal. (2017). Facing Dominance: Anthropomorphism and the Effect of Product Face Ratio on Consumer Preference. Journal of Consumer Research. 44(5). 1104–1122. 58 indexed citations
7.
Singh, Baljinder & Pankaj Aggarwal. (2017). Detection of brain tumor using modified mean-shift based fuzzy c-mean segmentation from MRI Images. 536–545. 8 indexed citations
8.
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
11.
Zhang, Meng & Pankaj Aggarwal. (2015). Looking ahead or looking back: Current evaluations and the effect of psychological connectedness to a temporal self. Journal of Consumer Psychology. 25(3). 512–518. 32 indexed citations
12.
Maeng, Ahreum & Pankaj Aggarwal. (2014). Striving For Superiority: Face Ratio, Anthropomorphism and Product Preference. ACR North American Advances. 1 indexed citations
13.
Aggarwal, Pankaj & Min Zhao. (2014). Seeing the Big Picture: The Effect of Height on the Level of Construal. Journal of Marketing Research. 52(1). 120–133. 63 indexed citations
14.
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 →
15.
Aggarwal, Pankaj & Richard P. Larrick. (2012). When consumers care about being treated fairly: The interaction of relationship norms and fairness norms. Journal of Consumer Psychology. 22(1). 114–127. 91 indexed citations
16.
Mažar, Nina & Pankaj Aggarwal. (2011). Greasing the Palm: Can Collectivism Promote Bribery?. SSRN Electronic Journal. 5 indexed citations
17.
Mažar, Nina & Pankaj Aggarwal. (2011). Greasing the Palm. Psychological Science. 22(7). 843–848. 120 indexed citations
18.
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 →
19.
Aggarwal, Pankaj, et al.. (2006). The Moderating Effect of Relationship Norm Salience on Consumers' Loss Aversion: Figure 1. Journal of Consumer Research. 33(3). 413–419. 70 indexed citations
20.
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.

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