Pragya Mathur
Impact in
- Marketing top 5%
- Consumer Behavior in Brand Consumption and Identification
- Applied Psychology top 5%
- Behavioral Health and Interventions
Papers in
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- Consumer Behavior in Brand Consumption and Identification 9
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- Cultural Differences and Values 4
- Co-authors
- Durairaj Maheswaran (9 shared papers)Shailendra Pratap Jain (4 shared papers)HaeEun Helen Chun (1 shared paper)Lauren Block (3 shared papers)Charles Lindsey (1 shared paper)Yuanyuan Zhang (1 shared paper)Nidhi Agrawal (1 shared paper)Mathew S. Isaac (1 shared paper)
- Journals
- Journal of Consumer Psychology (4 papers)Journal of Marketing (1 paper)Journal of the Association for Consumer Research (1 paper)Journal of Marketing Research (1 paper)Personality and Individual Differences (1 paper)
- Partner nations
- United StatesSingaporeSwitzerland
In The Last Decade
Pragya Mathur
13 papers receiving 387 citations
Peers
Comparison fields: 5 of 52
- Marketing 249
- Applied Psychology 98
- Tourism, Leisure and Hospitality Management 11
- General Decision Sciences 12
- Social Psychology 113
Countries citing papers authored by Pragya Mathur
This map shows the geographic impact of Pragya Mathur'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 Pragya Mathur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pragya Mathur more than expected).
Fields of papers citing papers by Pragya Mathur
This network shows the impact of papers produced by Pragya Mathur. 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 Pragya Mathur. The network helps show where Pragya Mathur may publish in the future.
Co-authors
The 12 scholars most cited alongside Pragya Mathur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 90 | |
| 2 | 2009 | 72 | |
| 3 | 2012 | 67 | |
| 4 | 2015 | 63 | |
| 5 | 2013 | 30 | |
| 6 | 2014 | 27 | |
| 7 | 2020 | 18 | |
| 8 | 2020 | 14 | |
| 9 | 2023 | 13 | |
| 10 | 2022 | 12 | |
| 11 | 2023 | 4 | |
| 12 | 2012 | 1 | |
| 13 | 2022 | 1 |
About Pragya Mathur
Pragya Mathur is a scholar working on Marketing, Social Psychology, Sociology and Political Science, Applied Psychology and Organizational Behavior and Human Resource Management, having authored 13 papers that have together received 412 indexed citations. Recurring topics across this work include Consumer Behavior in Brand Consumption and Identification (9 papers), Behavioral Health and Interventions (5 papers), Cultural Differences and Values (4 papers), Digital Marketing and Social Media (3 papers), Customer Service Quality and Loyalty (2 papers), Job Satisfaction and Organizational Behavior (2 papers), Personality Traits and Psychology (2 papers) and Social and Intergroup Psychology (2 papers). The work is most often cited by research in Marketing (249 citations), Applied Psychology (98 citations), Tourism, Leisure and Hospitality Management (11 citations), General Decision Sciences (12 citations) and Social Psychology (113 citations). Pragya Mathur has collaborated with scholars based in United States, Singapore and Switzerland. Frequent co-authors include Durairaj Maheswaran, Shailendra Pratap Jain, HaeEun Helen Chun, Lauren Block, Charles Lindsey, Yuanyuan Zhang, Nidhi Agrawal, Mathew S. Isaac, Huifang Mao and Tanuka Ghoshal. Their work appears in journals such as Journal of Consumer Psychology, Journal of Marketing, Journal of the Association for Consumer Research, Journal of Marketing Research and Personality and Individual Differences.
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.