David M. Boush

3.0k total citations · 1 hit paper
21 papers, 2.2k citations indexed

About

David M. Boush is a scholar working on Marketing, Sociology and Political Science and Social Psychology. According to data from OpenAlex, David M. Boush has authored 21 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Marketing, 12 papers in Sociology and Political Science and 7 papers in Social Psychology. Recurrent topics in David M. Boush's work include Consumer Behavior in Brand Consumption and Identification (14 papers), Digital Marketing and Social Media (8 papers) and Cultural Differences and Values (4 papers). David M. Boush is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (14 papers), Digital Marketing and Social Media (8 papers) and Cultural Differences and Values (4 papers). David M. Boush collaborates with scholars based in United States and Israel. David M. Boush's co-authors include Barbara Loken, Marian Friestad, Gregory M. Rose, Peter Wright, Robert Madrigal, Guang-Xin Xie, Aviv Shoham, Lynn R. Kahle, R. Scott Marshall and K. Damon Aiken and has published in prestigious journals such as Journal of Marketing Research, Journal of Consumer Research and Journal of Business Research.

In The Last Decade

David M. Boush

21 papers receiving 1.9k citations

Hit Papers

A Process-Tracing Study of Brand Extension Evaluation 1991 2026 2002 2014 1991 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
David M. Boush United States 15 1.7k 1.1k 476 238 228 21 2.2k
Sanjay Putrevu United States 23 1.6k 0.9× 974 0.9× 345 0.7× 202 0.8× 211 0.9× 41 2.1k
Carl Obermiller United States 17 1.7k 1.0× 1.1k 1.0× 357 0.8× 230 1.0× 309 1.4× 43 2.6k
Nancy Spears United States 21 1.6k 0.9× 1.2k 1.1× 475 1.0× 290 1.2× 188 0.8× 53 2.5k
Larry Percy Denmark 21 1.9k 1.1× 1.2k 1.0× 502 1.1× 351 1.5× 237 1.0× 53 2.7k
Rajan Nataraajan United States 24 1.2k 0.7× 870 0.8× 736 1.5× 240 1.0× 233 1.0× 62 2.0k
Rohini Ahluwalia United States 18 1.9k 1.1× 1.6k 1.4× 687 1.4× 441 1.9× 340 1.5× 33 2.9k
Margaret K. Hogg United Kingdom 28 1.4k 0.8× 988 0.9× 426 0.9× 230 1.0× 141 0.6× 112 2.3k
Betsy D. Gelb United States 23 1.1k 0.7× 854 0.8× 549 1.2× 481 2.0× 246 1.1× 90 2.2k
J. S. Johar United States 14 1.9k 1.1× 1.4k 1.2× 831 1.7× 296 1.2× 112 0.5× 25 2.5k
Robert J. Kent United States 17 1.5k 0.9× 965 0.8× 405 0.9× 242 1.0× 142 0.6× 29 2.2k

Countries citing papers authored by David M. Boush

Since Specialization
Citations

This map shows the geographic impact of David M. Boush'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 David M. Boush with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Boush more than expected).

Fields of papers citing papers by David M. Boush

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Boush. 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 David M. Boush. The network helps show where David M. Boush may publish in the future.

Co-authorship network of co-authors of David M. Boush

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Boush. A scholar is included among the top collaborators of David M. Boush 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 David M. Boush. David M. Boush 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.
Boush, David M., Marian Friestad, & Peter Wright. (2015). Deception In The Marketplace. 26 indexed citations
2.
Boush, David M., et al.. (2014). Why, how and to what effect do firms deviate from their intended marketing plans?. European Journal of Marketing. 48(3/4). 453–476. 5 indexed citations
3.
Xie, Guang-Xin, Robert Madrigal, & David M. Boush. (2014). Disentangling the Effects of Perceived Deception and Anticipated Harm on Consumer Responses to Deceptive Advertising. Journal of Business Ethics. 129(2). 281–293. 45 indexed citations
4.
Xie, Guang-Xin, et al.. (2013). Tactical deception in covert selling: A persuasion knowledge perspective. Journal of Marketing Communications. 21(3). 224–240. 12 indexed citations
5.
Xie, Guang-Xin & David M. Boush. (2011). How susceptible are consumers to deceptive advertising claims? A retrospective look at the experimental research literature. The Marketing Review. 11(3). 293–314. 34 indexed citations
6.
Boush, David M., Marian Friestad, & Peter Wright. (2009). Deception In The Marketplace: The Psychology of Deceptive Persuasion and Consumer Self-Protection. Medical Entomology and Zoology. 56 indexed citations
7.
Jones, Scott A., K. Damon Aiken, & David M. Boush. (2009). Integrating Experience, Advertising, and Electronic Word of Mouth. Journal of Internet Commerce. 8(3-4). 246–267. 35 indexed citations
8.
Madrigal, Robert & David M. Boush. (2008). Social responsibility as a unique dimension of brand personality and consumers' willingness to reward. Psychology and Marketing. 25(6). 538–564. 90 indexed citations
9.
Xie, Guang-Xin, et al.. (2007). Consumer Response to Marketplace Deception: Implication of the Persuasion Knowledge Model. ACR North American Advances. 2 indexed citations
10.
Wright, Peter, Marian Friestad, & David M. Boush. (2005). The Development of Marketplace Persuasion Knowledge in Children, Adolescents, and Young Adults. Journal of Public Policy & Marketing. 24(2). 222–233. 256 indexed citations
11.
Boush, David M., et al.. (2004). Eating Guilt: Measurement and Relevance to Consumer Behavior. ACR North American Advances. 6 indexed citations
12.
Boush, David M. & Lynn R. Kahle. (2002). Evaluating Negative Information in Online Consumer Discussions: From Qualitative Analysis to Signal Detection. Journal of Euromarketing. 11(2). 89–105. 13 indexed citations
13.
Rose, Gregory M., David M. Boush, & Aviv Shoham. (2002). Family communication and children's purchasing influence: a cross-national examination. Journal of Business Research. 55(11). 867–873. 81 indexed citations
14.
Marshall, R. Scott & David M. Boush. (2001). Dynamic Decision-Making: A Cross-Cultural Comparison of U.S. and Peruvian Export Managers. Journal of International Business Studies. 32(4). 873–893. 28 indexed citations
15.
Rose, Gregory M., David M. Boush, & Marian Friestad. (1998). Self-Esteem, Susceptibility to Interpersonal Influence, and Fashion Attribute Preference in Early Adolescents. ACR European Advances. 24 indexed citations
16.
Boush, David M.. (1997). Brand Name Effects on Interproduct Similarity Judgments. Marketing Letters. 8(4). 419–427. 13 indexed citations
17.
Boush, David M., Marian Friestad, & Gregory M. Rose. (1994). Adolescent Skepticism toward TV Advertising and Knowledge of Advertiser Tactics. Journal of Consumer Research. 21(1). 165–165. 479 indexed citations
18.
Boush, David M.. (1993). How advertising slogans can prime evaluations of brand extensions. Psychology and Marketing. 10(1). 67–78. 82 indexed citations
19.
Boush, David M. & Barbara Loken. (1991). A Process-Tracing Study of Brand Extension Evaluation. Journal of Marketing Research. 28(1). 16–28. 616 indexed citations breakdown →
20.
Boush, David M. & Barbara Loken. (1991). A Process-Tracing Study of Brand Extension Evaluation. Journal of Marketing Research. 28(1). 16–16. 278 indexed citations

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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