Jay Trivedi
Impact in
- Marketing top 2%
- Consumer Behavior in Brand Consumption and Identification
- Consumer Retail Behavior Studies
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- Technology Adoption and User Behaviour
Papers in
- Marketing 22
- Consumer Behavior in Brand Consumption and Identification 18
- Consumer Retail Behavior Studies 4
- Environmental Sustainability in Business 3
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- Digital Marketing and Social Media 19
- Halal products and consumer behavior 2
- Co-authors
- Ramzan Sama (4 shared papers)Dharun Kasilingam (1 shared paper)Siddharth Deshmukh (2 shared papers)
In The Last Decade
Jay Trivedi
26 papers receiving 719 citations
Peers
Comparison fields: 5 of 54
- Marketing 414
- Information Systems and Management 216
- Sociology and Political Science 545
- Organizational Behavior and Human Resource Management 116
- Human-Computer Interaction 54
Countries citing papers authored by Jay Trivedi
This map shows the geographic impact of Jay Trivedi'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 Jay Trivedi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Trivedi more than expected).
Fields of papers citing papers by Jay Trivedi
This network shows the impact of papers produced by Jay Trivedi. 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 Jay Trivedi. The network helps show where Jay Trivedi may publish in the future.
Co-authors
The 3 scholars most cited alongside Jay Trivedi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 203 | |
| 2 | 2019 | 186 | |
| 3 | 2022 | 53 | |
| 4 | 2020 | 45 | |
| 5 | 2018 | 37 | |
| 6 | 2020 | 32 | |
| 7 | 2019 | 25 | |
| 8 | 2020 | 22 | |
| 9 | 2018 | 21 | |
| 10 | The Effect of Viral Marketing Messages on Consumer Behavior | 2017 | 18 |
| 11 | 2020 | 18 | |
| 12 | Factors Determining the Acceptance of E-Wallet | 2016 | 15 |
| 13 | 2018 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2018 | 9 | |
| 16 | 2020 | 9 | |
| 17 | 2019 | 8 | |
| 18 | 2017 | 7 | |
| 19 | 2020 | 5 | |
| 20 | 2022 | 5 |
About Jay Trivedi
Jay Trivedi is a scholar working on Marketing, Sociology and Political Science, Information Systems and Management, Gender Studies and Organizational Behavior and Human Resource Management, having authored 26 papers that have together received 751 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (19 papers), Consumer Behavior in Brand Consumption and Identification (18 papers), Technology Adoption and User Behaviour (8 papers), Consumer Retail Behavior Studies (4 papers), Customer Service Quality and Loyalty (4 papers), Media, Gender, and Advertising (3 papers), Environmental Sustainability in Business (3 papers) and Halal products and consumer behavior (2 papers). The work is most often cited by research in Marketing (414 citations), Information Systems and Management (216 citations), Sociology and Political Science (545 citations), Organizational Behavior and Human Resource Management (116 citations) and Human-Computer Interaction (54 citations). Jay Trivedi has collaborated with scholars based in India and Kenya. Frequent co-authors include Ramzan Sama, Dharun Kasilingam and Siddharth Deshmukh. Their work appears in journals such as Journal of Internet Commerce, Journal of Consumer Behaviour, Tourism Recreation Research, International Journal of Electronic Customer Relationship Management and Global Business Review.
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.