Aaron Garvey

626 total citations · 1 hit paper
17 papers, 416 citations indexed

About

Aaron Garvey is a scholar working on Marketing, Social Psychology and Cognitive Neuroscience. According to data from OpenAlex, Aaron Garvey has authored 17 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Marketing, 4 papers in Social Psychology and 4 papers in Cognitive Neuroscience. Recurrent topics in Aaron Garvey's work include Behavioral Health and Interventions (4 papers), Consumer Behavior in Brand Consumption and Identification (4 papers) and Psychology of Moral and Emotional Judgment (3 papers). Aaron Garvey is often cited by papers focused on Behavioral Health and Interventions (4 papers), Consumer Behavior in Brand Consumption and Identification (4 papers) and Psychology of Moral and Emotional Judgment (3 papers). Aaron Garvey collaborates with scholars based in United States, Australia and South Korea. Aaron Garvey's co-authors include Adam Duhachek, TaeWoo Kim, Lisa E. Bolton, Hyejin Lee, Li Jiang, Frank Germann, Maura L. Scott, Martin Mende, Margaret G. Meloy and Simon J. Blanchard and has published in prestigious journals such as Journal of Marketing, Journal of Marketing Research and Journal of Consumer Research.

In The Last Decade

Aaron Garvey

15 papers receiving 387 citations

Hit Papers

align trajectories

What are hit papers?

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.

Bad News? Send an AI. Good News? Send a Human

2021 161 citations Aaron Garvey, TaeWoo Kim et al. Journal of Marketing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aaron Garvey United States	7	163	155	154	95	57	17	416
Yuhosua Ryoo United States	14	217 1.3×	128 0.8×	237 1.5×	82 0.9×	36 0.6×	29	548
Yuanyuan Cui United States	11	139 0.9×	109 0.7×	168 1.1×	43 0.5×	34 0.6×	23	353
Xingping Cao China	8	112 0.7×	228 1.5×	203 1.3×	138 1.5×	24 0.4×	12	455
Gülden Ülkümen United States	8	86 0.5×	41 0.3×	103 0.7×	87 0.9×	31 0.5×	17	447
Agata Mirowska France	8	140 0.9×	112 0.7×	356 2.3×	66 0.7×	39 0.7×	13	536
Jooyoung Park China	11	187 1.1×	107 0.7×	225 1.5×	51 0.5×	22 0.4×	20	427
Johannes Boegershausen Netherlands	7	115 0.7×	87 0.6×	167 1.1×	81 0.9×	31 0.5×	11	360
Saerom Lee United States	7	161 1.0×	22 0.1×	208 1.4×	80 0.8×	19 0.3×	25	413
Rom Y. Schrift United States	11	246 1.5×	37 0.2×	131 0.9×	50 0.5×	39 0.7×	20	450
Andrea Webb Luangrath United States	8	215 1.3×	38 0.2×	184 1.2×	61 0.6×	7 0.1×	12	434

Countries citing papers authored by Aaron Garvey

Since Specialization

Citations

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

Fields of papers citing papers by Aaron Garvey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron Garvey. 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 Aaron Garvey. The network helps show where Aaron Garvey may publish in the future.

Co-authorship network of co-authors of Aaron Garvey

This figure shows the co-authorship network connecting the top 25 collaborators of Aaron Garvey. A scholar is included among the top collaborators of Aaron Garvey 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 Aaron Garvey. Aaron Garvey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Blanchard, Simon J., et al.. (2025). New Tools, New Rules: A Practical Guide to Effective and Responsible Generative AI Use for Surveys and Experiments in Research. Journal of Marketing. 89(6). 119–139. 3 indexed citations

Kim, TaeWoo, et al.. (2025). From algorithm aversion to AI dependence: Deskilling, upskilling, and emerging addictions in the GenAI age. 9(1). 142–164.

Kim, TaeWoo, et al.. (2024). The Persuasive Power of AI Ingratiation: A Persuasion Knowledge Theory Perspective. Journal of the Association for Consumer Research. 9(3). 319–331. 12 indexed citations

Costello, John P., et al.. (2023). The Uptrend Effect: Encouraging Healthy Behaviors Through Greater Inferred Normativity. Journal of Marketing Research. 61(1). 110–127. 1 indexed citations

Kim, TaeWoo, et al.. (2023). Artificial Intelligence in Marketing and Consumer Behavior Research. RePEc: Research Papers in Economics. 18(1). 1–93. 5 indexed citations

Germann, Frank & Aaron Garvey. (2022). It’s Gotta Be the Shoes! Performance Enhancement Effects of Novel Brand Advertising. Journal of Advertising. 51(4). 469–485. 1 indexed citations

Kim, TaeWoo, Li Jiang, Adam Duhachek, Hyejin Lee, & Aaron Garvey. (2022). Do You Mind if I Ask You a Personal Question? How AI Service Agents Alter Consumer Self-Disclosure. Journal of Service Research. 25(4). 649–666. 76 indexed citations

Garvey, Aaron, TaeWoo Kim, & Adam Duhachek. (2021). Bad News? Send an AI. Good News? Send a Human. Journal of Marketing. 87(1). 10–25. 161 indexed citations breakdown →

Mende, Martin, Maura L. Scott, Aaron Garvey, & Lisa E. Bolton. (2018). The marketing of love: how attachment styles affect romantic consumption journeys. Journal of the Academy of Marketing Science. 47(2). 255–273. 35 indexed citations

10.

Garvey, Aaron & Lisa E. Bolton. (2017). Eco-Product Choice Cuts Both Ways: How Pro-Environmental Licensing Versus Reinforcement is Contingent Upon Environmental Consciousness. SSRN Electronic Journal. 2 indexed citations

11.

Garvey, Aaron & Lisa E. Bolton. (2017). The Licensing Effect Revisited: How Virtuous Behavior Heightens the Pleasure Derived from Subsequent Hedonic Consumption. RePEc: Research Papers in Economics. 2(4). 291–298. 4 indexed citations

12.

Garvey, Aaron & Lisa E. Bolton. (2017). Eco-Product Choice Cuts Both Ways: How Proenvironmental Licensing versus Reinforcement is Contingent on Environmental Consciousness. Journal of Public Policy & Marketing. 36(2). 284–298. 66 indexed citations

13.

Garvey, Aaron, Margaret G. Meloy, & Baba Shiv. (2016). The Jilting Effect: Antecedents, Mechanisms, and Consequences for Preference. Journal of Marketing Research. 54(5). 785–798. 6 indexed citations

14.

Garvey, Aaron, Frank Germann, & Lisa E. Bolton. (2015). Performance Brand Placebos: How Brands Improve Performance and Consumers Take the Credit. Journal of Consumer Research. 42(6). 931–951. 39 indexed citations

15.

Garvey, Aaron, Simon J. Blanchard, & Karen Page Winterich. (2015). Turning unplanned overpayment into a status signal: how mentioning the price paid repairs satisfaction. Marketing Letters. 28(1). 71–83. 3 indexed citations

16.

Garvey, Aaron. (2012). How Consumer Goal Characteristics Determine the Influence of Goal Progress on Goal Perseverance. 1 indexed citations

17.

Garvey, Aaron. (2011). Sticking to It? How Consumer Goal Progress Affects Goal Perseverance. ACR North American Advances. 1 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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