Audhesh K. Paswan
- Marketing top 0.2%
- Sociology and Political Science top 1%
- Strategy and Management top 1%
- Organizational Behavior and Human Resource Management top 0.5%
- Information Systems and Management top 0.5%
- Co-authors
- Tanawat HirunyawipadaFrancisco GuzmánGopala GaneshPramod IyerLisa C. TroyRajasree K. RajammaArezoo DavariRajiv P. Dant
- Topics
- Consumer Behavior in Brand Consumption and Identification (44 papers)Customer Service Quality and Loyalty (37 papers)Digital Marketing and Social Media (28 papers)
- Partner nations
- United StatesIndiaLatvia
In The Last Decade
Audhesh K. Paswan
106 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 115
- Marketing 1.8k
- Sociology and Political Science 1.2k
- Strategy and Management 1.2k
- Organizational Behavior and Human Resource Management 1.0k
- Information Systems and Management 571
Countries citing papers authored by Audhesh K. Paswan
This map shows the geographic impact of Audhesh K. Paswan'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 Audhesh K. Paswan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Audhesh K. Paswan more than expected).
Fields of papers citing papers by Audhesh K. Paswan
This network shows the impact of papers produced by Audhesh K. Paswan. 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 Audhesh K. Paswan. The network helps show where Audhesh K. Paswan may publish in the future.
Co-authorship network of co-authors of Audhesh K. Paswan
This figure shows the co-authorship network connecting the top 25 collaborators of Audhesh K. Paswan. A scholar is included among the top collaborators of Audhesh K. Paswan 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 Audhesh K. Paswan. Audhesh K. Paswan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 4 | |
| 3 | I4. Pink Tax: Are Some Marketing Practices Discriminatory? | 1 |
| 4 | 36 | |
| 5 | 23 | |
| 6 | 27 | |
| 7 | 58 | |
| 8 | 17 | |
| 9 | 24 | |
| 10 | 36 | |
| 11 | 27 | |
| 12 | 30 | |
| 13 | 12 | |
| 14 | 4 | |
| 15 | 6 | |
| 16 | Cross-Functional Integration and New Product Performance: An Empirical Analysis and Findings | 5 |
| 17 | 35 | |
| 18 | Co-Branding Approaches in the Franchised Food Service Industry | 3 |
| 19 | 58 | |
| 20 | 87 |
About Audhesh K. Paswan
Audhesh K. Paswan is a scholar working on Marketing, Organizational Behavior and Human Resource Management and Strategy and Management, having authored 109 papers that have together received 3.9k indexed citations. Recurring topics across this work include Consumer Behavior in Brand Consumption and Identification (44 papers), Customer Service Quality and Loyalty (37 papers) and Digital Marketing and Social Media (28 papers). The work is most often cited by research in Marketing (1.8k citations), Organizational Behavior and Human Resource Management (1.0k citations) and Strategy and Management (1.2k citations). Audhesh K. Paswan has collaborated with scholars based in United States, India and Latvia. Frequent co-authors include Tanawat Hirunyawipada, Francisco Guzmán, Gopala Ganesh, Pramod Iyer, Lisa C. Troy, Rajasree K. Rajamma, Arezoo Davari, Rajiv P. Dant, Joyce A. Young and Mohammadali Zolfagharian. Their work appears in journals such as Journal of Marketing, Journal of Business Research and Journal of Retailing.
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.