Todd Pezzuti

28 total papers · 531 total citations
14 papers, 374 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 374 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 United States, Chile and Canada. Todd Pezzuti's co-authors include James M. Leonhardt, Caleb Warren, Jae‐Eun Namkoong, Cornelia Pechmann, Wei Lu, Dante Pirouz, Raymond C. Pitts, Mark Galizio and Julian R. Keith 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 342 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Todd Pezzuti	241	173	54	52	42	14	374
Payal S. Kapoor	320 1.3×	231 1.3×	53 1.0×	23 0.4×	28 0.7×	16	426
Kenneth Henderson	229 1.0×	187 1.1×	52 1.0×	22 0.4×	52 1.2×	8	375
Karen Nelson-Field	234 1.0×	129 0.7×	58 1.1×	21 0.4×	45 1.1×	11	396
Tao Deng	302 1.3×	126 0.7×	74 1.4×	19 0.4×	46 1.1×	20	446
Kartik Pashupati	181 0.8×	143 0.8×	89 1.6×	18 0.3×	25 0.6×	14	341
Rebecca A. VanMeter	275 1.1×	158 0.9×	103 1.9×	27 0.5×	43 1.0×	10	424
Maxwell Poole	233 1.0×	104 0.6×	55 1.0×	85 1.6×	64 1.5×	9	341
Hamidreza Shahbaznezhad	290 1.2×	100 0.6×	103 1.9×	24 0.5×	76 1.8×	13	398
Eun Sook Kwon	273 1.1×	186 1.1×	85 1.6×	62 1.2×	50 1.2×	13	369
Seunghyun Kim	264 1.1×	119 0.7×	70 1.3×	24 0.5×	23 0.5×	16	400

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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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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