Sanjay Dhingra
Impact in
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- Technology Adoption and User Behaviour
- Marketing top 5%
- Consumer Retail Behavior Studies
- Consumer Behavior and Marketing Influence
Papers in
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- Technology Adoption and User Behaviour 27
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- Digital Marketing and Social Media 12
- Co-authors
- Shelly Gupta (10 shared papers)Ashish Kumar (2 shared papers)Vikas Batra (1 shared paper)Ajay Garg (1 shared paper)Neena Sinha (2 shared papers)Anatoly Langer (2 shared papers)Michael Heffernan (2 shared papers)Warren J. Cantor (2 shared papers)
In The Last Decade
Sanjay Dhingra
41 papers receiving 483 citations
Peers
Comparison fields: 5 of 71
- Information Systems and Management 237
- Marketing 130
- Management Information Systems 95
- Organizational Behavior and Human Resource Management 74
- Strategy and Management 69
Countries citing papers authored by Sanjay Dhingra
This map shows the geographic impact of Sanjay Dhingra'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 Sanjay Dhingra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjay Dhingra more than expected).
Fields of papers citing papers by Sanjay Dhingra
This network shows the impact of papers produced by Sanjay Dhingra. 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 Sanjay Dhingra. The network helps show where Sanjay Dhingra may publish in the future.
Co-authors
The 25 scholars most cited alongside Sanjay Dhingra, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 78 | |
| 2 | 2020 | 65 | |
| 3 | 2022 | 40 | |
| 4 | 2023 | 36 | |
| 5 | 2022 | 31 | |
| 6 | 2016 | 29 | |
| 7 | 2023 | 27 | |
| 8 | 2021 | 22 | |
| 9 | 2024 | 18 | |
| 10 | 2022 | 18 | |
| 11 | 2006 | 16 | |
| 12 | 2023 | 16 | |
| 13 | 2024 | 15 | |
| 14 | 2020 | 15 | |
| 15 | 2006 | 11 | |
| 16 | 2021 | 9 | |
| 17 | 2025 | 6 | |
| 18 | 2024 | 6 | |
| 19 | 2016 | 5 | |
| 20 | 2022 | 5 |
About Sanjay Dhingra
Sanjay Dhingra is a scholar working on Information Systems and Management, Sociology and Political Science, Marketing, Artificial Intelligence and Strategy and Management, having authored 47 papers that have together received 510 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (27 papers), Digital Marketing and Social Media (12 papers), Consumer Retail Behavior Studies (10 papers), Organizational and Employee Performance (9 papers), Blockchain Technology Applications and Security (6 papers), Customer Service Quality and Loyalty (5 papers), E-Government and Public Services (4 papers) and Electric Vehicles and Infrastructure (2 papers). The work is most often cited by research in Information Systems and Management (237 citations), Marketing (130 citations), Management Information Systems (95 citations), Organizational Behavior and Human Resource Management (74 citations) and Strategy and Management (69 citations). Sanjay Dhingra has collaborated with scholars based in India, Canada and Australia. Frequent co-authors include Shelly Gupta, Ashish Kumar, Vikas Batra, Ajay Garg, Neena Sinha, Anatoly Langer, Michael Heffernan, Warren J. Cantor, Shaun G. Goodman and Ridhima Chadha. Their work appears in journals such as Canadian Journal of Cardiology, International Journal of Electronic Government Research, International Journal of Consumer Studies, Electronic Government an International Journal and Industrial Management & Data Systems.
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.