Todd Pezzuti
- Sociology and Political Science top 5%
- Marketing top 5%
- Information Systems and Management top 10%
- Human-Computer Interaction top 10%
- Organizational Behavior and Human Resource Management top 10%
- Co-authors
- James M. LeonhardtCaleb WarrenJae‐Eun NamkoongCornelia PechmannDante PirouzWei LuJulian R. KeithRaymond C. Pitts
- Topics
- Consumer Behavior in Brand Consumption and Identification (9 papers)Digital Marketing and Social Media (7 papers)Digital Communication and Language (4 papers)
- Journals
- Journal of Business ResearchJournal of Experimental Psychology GeneralJournal of the Academy of Marketing Science
- Partner nations
- ChileUnited StatesCanada
In The Last Decade
Todd Pezzuti
13 papers receiving 346 citations
Peers
Comparison fields: 5 of 62
- Sociology and Political Science 245
- Marketing 174
- Information Systems and Management 54
- Human-Computer Interaction 52
- Organizational Behavior and Human Resource Management 43
Countries citing papers authored by Todd Pezzuti
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 15 | |
| 5 | 32 | |
| 6 | 87 | |
| 7 | 14 | |
| 8 | 42 | |
| 9 | 15 | |
| 10 | 24 | |
| 11 | 34 | |
| 12 | 83 | |
| 13 | 19 | |
| 14 | 12 |
About Todd Pezzuti
Todd Pezzuti is a scholar working on Marketing, Human-Computer Interaction and Applied Psychology, having authored 14 papers that have together received 383 indexed citations. Recurring topics across this 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). The work is most often cited by research in Marketing (174 citations), Human-Computer Interaction (52 citations) and Information Systems and Management (54 citations). Todd Pezzuti has collaborated with scholars based in Chile, United States and Canada. Frequent 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. Their work appears in journals such as Journal of Business Research, Journal of Experimental Psychology General and Journal of the Academy of Marketing Science.
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.