Anish Nagpal
- Marketing top 5%
- Sociology and Political Science
- Public Health, Environmental and Occupational Health
- Applied Psychology top 10%
- Social Psychology
- Co-authors
- Liliana L. BoveJing LeiParthasarathy KrishnamurthyMehdi MouraliAdwait KhareBrent CokerRahul GovindBenjamin A. Neville
- Topics
- Consumer Behavior in Brand Consumption and Identification (6 papers)Decision-Making and Behavioral Economics (5 papers)Behavioral Health and Interventions (4 papers)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Anish Nagpal
19 papers receiving 292 citations
Peers
Comparison fields: 5 of 67
- Marketing 158
- Sociology and Political Science 97
- Public Health, Environmental and Occupational Health 52
- Applied Psychology 50
- Social Psychology 42
Countries citing papers authored by Anish Nagpal
This map shows the geographic impact of Anish Nagpal'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 Anish Nagpal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anish Nagpal more than expected).
Fields of papers citing papers by Anish Nagpal
This network shows the impact of papers produced by Anish Nagpal. 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 Anish Nagpal. The network helps show where Anish Nagpal may publish in the future.
Co-authorship network of co-authors of Anish Nagpal
This figure shows the co-authorship network connecting the top 25 collaborators of Anish Nagpal. A scholar is included among the top collaborators of Anish Nagpal 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 Anish Nagpal. Anish Nagpal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 6 | |
| 4 | 6 | |
| 5 | 20 | |
| 6 | 7 | |
| 7 | Self-Customisation and Attribute Alignability: Role of Utilitarian versus Hedonic Consumption | 1 |
| 8 | 16 | |
| 9 | 32 | |
| 10 | 15 | |
| 11 | 30 | |
| 12 | 36 | |
| 13 | 15 | |
| 14 | 18 | |
| 15 | 6 | |
| 16 | 58 | |
| 17 | The Impact of Goal Framing on the Choose-Reject Discrepancy | 3 |
| 18 | 21 | |
| 19 | 14 |
About Anish Nagpal
Anish Nagpal is a scholar working on General Decision Sciences, Marketing and Applied Psychology, having authored 19 papers that have together received 309 indexed citations. Recurring topics across this work include Consumer Behavior in Brand Consumption and Identification (6 papers), Decision-Making and Behavioral Economics (5 papers) and Behavioral Health and Interventions (4 papers). The work is most often cited by research in General Decision Sciences (34 citations), Marketing (158 citations) and Applied Psychology (50 citations). Anish Nagpal has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Liliana L. Bove, Jing Lei, Parthasarathy Krishnamurthy, Mehdi Mourali, Adwait Khare, Brent Coker, Rahul Govind, Benjamin A. Neville, Nitika Garg and Magdalena Cismaru. Their work appears in journals such as Journal of Consumer Research, Journal of Business Research and Appetite.
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.