Syagnik Banerjee
- Sociology and Political Science top 10%
- Marketing top 5%
- Information Systems and Management top 5%
- Organizational Behavior and Human Resource Management top 10%
- Artificial Intelligence
- Co-authors
- Ruby Roy DholakiaThomas A. HemphillPhil LongstreetAmit PoddarShichun XuScott D. JohnsonPamela EllenGreg Rybarczyk
- Topics
- Digital Marketing and Social Media (10 papers)Privacy, Security, and Data Protection (8 papers)Consumer Retail Behavior Studies (8 papers)
- Partner nations
- United StatesPhilippinesCanada
In The Last Decade
Syagnik Banerjee
29 papers receiving 373 citations
Peers
Comparison fields: 5 of 88
- Sociology and Political Science 210
- Marketing 154
- Information Systems and Management 105
- Organizational Behavior and Human Resource Management 51
- Artificial Intelligence 38
Countries citing papers authored by Syagnik Banerjee
This map shows the geographic impact of Syagnik Banerjee'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 Syagnik Banerjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Syagnik Banerjee more than expected).
Fields of papers citing papers by Syagnik Banerjee
This network shows the impact of papers produced by Syagnik Banerjee. 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 Syagnik Banerjee. The network helps show where Syagnik Banerjee may publish in the future.
Co-authorship network of co-authors of Syagnik Banerjee
This figure shows the co-authorship network connecting the top 25 collaborators of Syagnik Banerjee. A scholar is included among the top collaborators of Syagnik Banerjee 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 Syagnik Banerjee. Syagnik Banerjee 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 | 3 | |
| 3 | 4 | |
| 4 | 7 | |
| 5 | 14 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 20 | |
| 10 | 2 | |
| 11 | 10 | |
| 12 | M-Powering Marketing in a Mobile World | 1 |
| 13 | 3 | |
| 14 | 11 | |
| 15 | Marketing Household Durables in Emerging Markets: Empirical Evidence from India | 2 |
| 16 | 1 | |
| 17 | 2 | |
| 18 | Enhancing Mobile Coupon Redemption in Fast Food Campaigns | 0 |
| 19 | Understanding Fairness Perceptions For Price Decreases | 2 |
| 20 | Mobile Advertising: Does Location Based Advertising Work? | 99 |
About Syagnik Banerjee
Syagnik Banerjee is a scholar working on Marketing, Tourism, Leisure and Hospitality Management and Transportation, having authored 32 papers that have together received 408 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (10 papers), Privacy, Security, and Data Protection (8 papers) and Consumer Retail Behavior Studies (8 papers). The work is most often cited by research in Marketing (154 citations), Information Systems and Management (105 citations) and Transportation (37 citations). Syagnik Banerjee has collaborated with scholars based in United States, Philippines and Canada. Frequent co-authors include Ruby Roy Dholakia, Thomas A. Hemphill, Phil Longstreet, Amit Poddar, Shichun Xu, Scott D. Johnson, Pamela Ellen, Greg Rybarczyk, Richard Ross Shaker and Vijay Viswanathan. Their work appears in journals such as Journal of Business Research, Technology in Society and Journal of Public Policy & Marketing.
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.