Prasanna Gai
- Finance top 0.5%
- Economics and Econometrics top 0.5%
- General Economics, Econometrics and Finance top 2%
- Accounting top 5%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Sujit KapadiaAndrew HaldaneKartik AnandNicholas VauseMatthew WillisonMatteo MarsiliPiergiorgio AlessandriNada Mora
- Topics
- Banking stability, regulation, efficiency (34 papers)Global Financial Crisis and Policies (28 papers)Complex Systems and Time Series Analysis (10 papers)
- Partner nations
- United KingdomNew ZealandAustralia
In The Last Decade
Prasanna Gai
43 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Finance 1.6k
- Economics and Econometrics 1.3k
- General Economics, Econometrics and Finance 289
- Accounting 277
- Statistical and Nonlinear Physics 213
Countries citing papers authored by Prasanna Gai
This map shows the geographic impact of Prasanna Gai'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 Prasanna Gai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prasanna Gai more than expected).
Fields of papers citing papers by Prasanna Gai
This network shows the impact of papers produced by Prasanna Gai. 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 Prasanna Gai. The network helps show where Prasanna Gai may publish in the future.
Co-authorship network of co-authors of Prasanna Gai
This figure shows the co-authorship network connecting the top 25 collaborators of Prasanna Gai. A scholar is included among the top collaborators of Prasanna Gai 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 Prasanna Gai. Prasanna Gai 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 | 1 | |
| 4 | 31 | |
| 5 | 16 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | Systemic Risk: The Dynamics of Modern Financial Systems | 6 |
| 9 | 4 | |
| 10 | 10 | |
| 11 | 68 | |
| 12 | 0 | |
| 13 | 95 | |
| 14 | 46 | |
| 15 | 29 | |
| 16 | Measuring Investors' Risk Appetite | 30 |
| 17 | Financial Stability, Monetary Stability and Public Policy | 0 |
| 18 | International Financial Crises and Public Policy: Some Welfare Analysis | 1 |
| 19 | 5 | |
| 20 | 14 |
About Prasanna Gai
Prasanna Gai is a scholar working on Finance, General Economics, Econometrics and Finance and Economics and Econometrics, having authored 51 papers that have together received 2.1k indexed citations. Recurring topics across this work include Banking stability, regulation, efficiency (34 papers), Global Financial Crisis and Policies (28 papers) and Complex Systems and Time Series Analysis (10 papers). The work is most often cited by research in Finance (1.6k citations), Economics and Econometrics (1.3k citations) and General Economics, Econometrics and Finance (289 citations). Prasanna Gai has collaborated with scholars based in United Kingdom, New Zealand and Australia. Frequent co-authors include Sujit Kapadia, Andrew Haldane, Kartik Anand, Nicholas Vause, Matthew Willison, Matteo Marsili, Piergiorgio Alessandri, Nada Mora, Michael Chui and Ander Pérez-Orive. Their work appears in journals such as Review of Financial Studies, The Economic Journal and Journal of Banking & Finance.
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.