Avni Shah
- Marketing top 5%
- General Decision Sciences top 5%
- Economics and Econometrics
- Applied Psychology top 10%
- Sociology and Political Science
- Co-authors
- George WolfordJames R. BettmanNoah EisenkraftTanya L. ChartrandPeter A. UbelJulie A. EdellPunam Anand KellerDilip Soman
- Topics
- Financial Literacy, Pension, Retirement Analysis (6 papers)Housing Market and Economics (4 papers)Urban, Neighborhood, and Segregation Studies (2 papers)
- Partner nations
- CanadaUnited StatesSingapore
In The Last Decade
Avni Shah
13 papers receiving 258 citations
Peers
Comparison fields: 5 of 77
- Marketing 118
- General Decision Sciences 76
- Economics and Econometrics 63
- Applied Psychology 58
- Sociology and Political Science 57
Countries citing papers authored by Avni Shah
This map shows the geographic impact of Avni Shah'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 Avni Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avni Shah more than expected).
Fields of papers citing papers by Avni Shah
This network shows the impact of papers produced by Avni Shah. 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 Avni Shah. The network helps show where Avni Shah may publish in the future.
Co-authorship network of co-authors of Avni Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Avni Shah. A scholar is included among the top collaborators of Avni Shah 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 Avni Shah. Avni Shah 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 8 | |
| 7 | 12 | |
| 8 | Exploring the Payday Effect: Anxiety Before Payday Leads to Overspending | 1 |
| 9 | 4 | |
| 10 | How the Pain of Payment Can Magnify and Mitigate Choice Overload Effects | 1 |
| 11 | 2 | |
| 12 | ‘Paper Or Plastic’: How We Pay Influences Post-Transaction Connection | 5 |
| 13 | 75 | |
| 14 | 41 | |
| 15 | ‘Does This Tax Make Me Look Fat?’: Using Stigma-Inducing Labels to Decrease Unhealthy Food Consumption | 1 |
| 16 | 3 | |
| 17 | 0 | |
| 18 | 127 |
About Avni Shah
Avni Shah is a scholar working on General Decision Sciences, Accounting and Marketing, having authored 18 papers that have together received 284 indexed citations. Recurring topics across this work include Financial Literacy, Pension, Retirement Analysis (6 papers), Housing Market and Economics (4 papers) and Urban, Neighborhood, and Segregation Studies (2 papers). The work is most often cited by research in General Decision Sciences (76 citations), Marketing (118 citations) and Applied Psychology (58 citations). Avni Shah has collaborated with scholars based in Canada, United States and Singapore. Frequent co-authors include George Wolford, James R. Bettman, Noah Eisenkraft, Tanya L. Chartrand, Peter A. Ubel, Julie A. Edell, Punam Anand Keller, Dilip Soman, Amrita Bajaj and Darshana Jain. Their work appears in journals such as Journal of Marketing Research, Journal of Consumer Research and Psychological Science.
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.