Todd Pezzuti

542 total citations
14 papers, 383 citations indexed

About

Todd Pezzuti is a scholar working on Marketing, Sociology and Political Science and Human-Computer Interaction. According to data from OpenAlex, Todd Pezzuti has authored 14 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Marketing, 7 papers in Sociology and Political Science and 4 papers in Human-Computer Interaction. Recurrent topics in Todd Pezzuti's work include Consumer Behavior in Brand Consumption and Identification (9 papers), Digital Marketing and Social Media (7 papers) and Digital Communication and Language (4 papers). Todd Pezzuti is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (9 papers), Digital Marketing and Social Media (7 papers) and Digital Communication and Language (4 papers). Todd Pezzuti collaborates with scholars based in Chile, United States and Canada. Todd Pezzuti's co-authors include James M. Leonhardt, Caleb Warren, Jae‐Eun Namkoong, Cornelia Pechmann, Dante Pirouz, Wei Lu, Julian R. Keith, Raymond C. Pitts and Mark Galizio and has published in prestigious journals such as Journal of Business Research, Journal of Experimental Psychology General and Journal of the Academy of Marketing Science.

In The Last Decade

Todd Pezzuti

13 papers receiving 346 citations

Peers

Todd Pezzuti

SPS

MARKE

ISM

OBHRM

Payal S. Kapoor India

Tao Deng United States

Seunghyun Kim United States

Heather Shoenberger United States

Dongwon Choi United States

HaeEun Helen Chun United States

Sören Köcher Germany

Andrea N. Geurin United Kingdom

Ouidade Sabri France

Yuhosua Ryoo United States

Payal S. Kapoor India

Todd Pezzuti

325 ×1.3

SPS

236 ×1.4

MARKE

54 ×1.0

ISM

23 ×0.4

33 ×0.8

OBHRM

Citations per year, relative to Todd Pezzuti Todd Pezzuti (= 1×) peers Payal S. Kapoor

Countries citing papers authored by Todd Pezzuti

Since Specialization

Citations

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

Fields of papers citing papers by Todd Pezzuti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Todd Pezzuti

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

All Works

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14 of 14 papers shown

Pezzuti, Todd, et al.. (2025). Cool people.. Journal of Experimental Psychology General. 154(9). 2410–2431.

Pezzuti, Todd. (2024). Correction: Highlighting discrepancies in brand messaging increases social media engagement. Journal of the Academy of Marketing Science. 53(4). 1011–1011. 1 indexed citations

Pezzuti, Todd. (2023). Highlighting Discrepancies in Brand Messaging Increases Social Media Engagement. Journal of the Academy of Marketing Science. 53(4). 989–1010. 5 indexed citations

Pezzuti, Todd & James M. Leonhardt. (2022). What’s not to like? Negations in brand messages increase consumer engagement. Journal of the Academy of Marketing Science. 51(3). 675–694. 15 indexed citations

Leonhardt, James M. & Todd Pezzuti. (2021). Vaccination Acceptance Across Cultures: The Roles of Collectivism, Empathy, and Homophily. Journal of International Marketing. 30(2). 13–27. 32 indexed citations

Pezzuti, Todd, James M. Leonhardt, & Caleb Warren. (2020). Certainty in Language Increases Consumer Engagement on Social Media. Journal of Interactive Marketing. 53(1). 32–46. 87 indexed citations

Pezzuti, Todd & James M. Leonhardt. (2020). How collectivistic values affect online word-of-mouth. International Journal of Market Research. 63(4). 436–453. 14 indexed citations

Leonhardt, James M., Todd Pezzuti, & Jae‐Eun Namkoong. (2020). We’re not so different: Collectivism increases perceived homophily, trust, and seeking user-generated product information. Journal of Business Research. 112. 160–169. 42 indexed citations

Pezzuti, Todd, et al.. (2018). Does language homophily affect migrant consumers’ service usage intentions?. Journal of Services Marketing. 32(5). 581–591. 15 indexed citations

10.

Pezzuti, Todd, et al.. (2018). Hyperopia and frugality: Different motivational drivers and yet similar effects on consumer spending. Journal of Business Research. 95. 347–356. 24 indexed citations

11.

Warren, Caleb, et al.. (2018). Is Being Emotionally Inexpressive Cool?. Journal of Consumer Psychology. 28(4). 560–577. 34 indexed citations

12.

Leonhardt, James M., et al.. (2017). Second Person Pronouns Enhance Consumer Involvement and Brand Attitude. Journal of Interactive Marketing. 39(1). 104–116. 83 indexed citations

13.

Pezzuti, Todd, Dante Pirouz, & Cornelia Pechmann. (2015). The effects of advertising models for age‐restricted products and self‐concept discrepancy on advertising outcomes among young adolescents. Journal of Consumer Psychology. 25(3). 519–529. 19 indexed citations

14.

Keith, Julian R., Raymond C. Pitts, Todd Pezzuti, & Mark Galizio. (2003). Effects of positive GABAA modulators on a multiple-component, repeated-acquisition test of spatial learning. Behavioural Pharmacology. 14(1). 67–75. 12 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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