Mansur Khamitov

984 total citations · 1 hit paper
19 papers, 712 citations indexed

About

Mansur Khamitov is a scholar working on Sociology and Political Science, Marketing and Applied Psychology. According to data from OpenAlex, Mansur Khamitov has authored 19 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Sociology and Political Science, 10 papers in Marketing and 5 papers in Applied Psychology. Recurrent topics in Mansur Khamitov's work include Consumer Behavior in Brand Consumption and Identification (10 papers), Digital Marketing and Social Media (6 papers) and Behavioral Health and Interventions (5 papers). Mansur Khamitov is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (10 papers), Digital Marketing and Social Media (6 papers) and Behavioral Health and Interventions (5 papers). Mansur Khamitov collaborates with scholars based in Canada, United States and Singapore. Mansur Khamitov's co-authors include Anshu Suri, Yany Grégoire, Matthew Thomson, Xin Wang, Scott Connors, Andrew Perkins, Xin Wang, Neil Bendle, Shijie Lu and Xi Li and has published in prestigious journals such as Journal of Marketing, Journal of Consumer Research and Cognition.

In The Last Decade

Mansur Khamitov

17 papers receiving 665 citations

Hit Papers

A systematic review of brand transgression, service failu... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mansur Khamitov Canada 9 408 365 226 142 111 19 712
S. Umit Kucuk United States 16 728 1.8× 621 1.7× 189 0.8× 116 0.8× 145 1.3× 31 1.0k
Sharon Ng Singapore 15 518 1.3× 378 1.0× 178 0.8× 246 1.7× 68 0.6× 29 856
Fernando R. Jiménez United States 11 441 1.1× 516 1.4× 222 1.0× 72 0.5× 170 1.5× 22 810
Huifang Mao United States 12 398 1.0× 300 0.8× 126 0.6× 144 1.0× 37 0.3× 18 622
Michael Breazeale United States 15 454 1.1× 450 1.2× 255 1.1× 80 0.6× 151 1.4× 22 759
Haithem Zourrig United States 12 344 0.8× 362 1.0× 232 1.0× 139 1.0× 102 0.9× 27 640
Michele Costabile Italy 9 492 1.2× 508 1.4× 249 1.1× 85 0.6× 122 1.1× 43 814
Yuhuang Zheng China 8 495 1.2× 279 0.8× 149 0.7× 165 1.2× 64 0.6× 17 920
Amélie Guèvremont Canada 10 735 1.8× 563 1.5× 242 1.1× 107 0.8× 60 0.5× 17 969
Susan Bardi Kleiser United States 8 214 0.5× 473 1.3× 139 0.6× 109 0.8× 206 1.9× 11 735

Countries citing papers authored by Mansur Khamitov

Since Specialization
Citations

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

Fields of papers citing papers by Mansur Khamitov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mansur Khamitov

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

All Works

19 of 19 papers shown
1.
Khamitov, Mansur, et al.. (2024). Consumer Trust: Meta-Analysis of 50 Years of Empirical Research. Journal of Consumer Research. 51(1). 7–18. 23 indexed citations
2.
Khamitov, Mansur & Marina Puzakova. (2022). Possessive brand names in brand preferences and choice: the role of inferred control. Journal of the Academy of Marketing Science. 50(5). 1032–1051. 13 indexed citations
3.
Malär, Lucia, et al.. (2022). The Dirty Thirty of Brand Personality: Narcissistic, Machiavellian, and Psychopathic Brands. Bern Open Repository and Information System (University of Bern). 2 indexed citations
4.
Wang, Xin, Shijie Lu, Xi Li, Mansur Khamitov, & Neil Bendle. (2021). Audio Mining: The Role of Vocal Tone in Persuasion. Journal of Consumer Research. 48(2). 189–211. 68 indexed citations
5.
Connors, Scott, Mansur Khamitov, Matthew Thomson, & Andrew Perkins. (2020). They’re Just Not That into You: How to Leverage Existing Consumer–Brand Relationships Through Social Psychological Distance. Journal of Marketing. 85(5). 92–108. 64 indexed citations
6.
Khamitov, Mansur, Yany Grégoire, & Anshu Suri. (2019). Toward a Science of Negative Critical Incidents: Bridging Brand Transgression Research and Service Failure-Recovery. SSRN Electronic Journal. 2 indexed citations
7.
Khamitov, Mansur & Marina Puzakova. (2019). How Possessiveness Cues in Brand Names Impact Brand Evaluations. SSRN Electronic Journal.
8.
Khamitov, Mansur, Yany Grégoire, & Anshu Suri. (2019). A Systematic Review of Brand Transgression, Service Failure Recovery and Product-Harm Crisis: Integration and Guiding Insights. SSRN Electronic Journal. 6 indexed citations
9.
Duclos, Rod & Mansur Khamitov. (2019). Compared to Dematerialized Money, Cash Increases Impatience in Intertemporal Choice. Journal of Consumer Psychology. 29(3). 445–454. 12 indexed citations
10.
Khamitov, Mansur, Xin Wang, & Matthew Thomson. (2019). How Well Do Consumer-Brand Relationships Drive Customer Brand Loyalty? Generalizations from a Meta-Analysis of Brand Relationship Elasticities. Journal of Consumer Research. 46(3). 435–459. 161 indexed citations
11.
Khamitov, Mansur, Yany Grégoire, & Anshu Suri. (2019). A systematic review of brand transgression, service failure recovery and product-harm crisis: integration and guiding insights. Journal of the Academy of Marketing Science. 48(3). 519–542. 279 indexed citations breakdown →
12.
Khamitov, Mansur & Rod Duclos. (2018). Brand’S Moral Character Predominates in Brand Perception and Evaluation. ACR North American Advances.
13.
Khamitov, Mansur, et al.. (2018). ACRoss Space and Time: How Cultural and Institutional Differences Explain Consumer-Brand Relationships’ Differential Effects on Brand Loyalty. SSRN Electronic Journal. 2 indexed citations
14.
Khamitov, Mansur, et al.. (2017). Lie, Cheat, and Steal: How Harmful Brands Motivate Consumers to Act Unethically. Journal of Consumer Psychology. 28(2). 353–361. 35 indexed citations
15.
Connors, Scott, et al.. (2016). Time, money, and happiness: Does putting a price on time affect our ability to smell the roses?. Journal of Experimental Social Psychology. 67. 60–64. 2 indexed citations
16.
Campbell, Lorne, et al.. (2016). Time, money, and happiness: Does putting a price on time affect our ability to smell the roses?. Humanities Commons CORE (Modern Language Association / Columbia University). 6 indexed citations
17.
Khamitov, Mansur, et al.. (2015). Perceiving the agency of harmful agents: A test of dehumanization versus moral typecasting accounts. Cognition. 146. 33–47. 35 indexed citations
18.
Goode, Miranda, Mansur Khamitov, & Matthew Thomson. (2015). Dyads, Triads and Consumer Treachery: When Interpersonal Connections Guard Against Brand Cheating. Humanities Commons CORE (Modern Language Association / Columbia University). 376(2126). 216–232. 1 indexed citations
19.
Khamitov, Mansur, Matthew Thomson, & Miranda Goode. (2014). Investigating Brand Cheating in Consumer-Brand Relationships: Triadic and Dyadic Approaches. 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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