Prasanna Gai
- Finance top 0.5%
- Banking stability, regulation, efficiency 34
- Global Financial Crisis and Policies 28
- Credit Risk and Financial Regulations 6
- Economics and Econometrics top 0.5%
- Complex Systems and Time Series Analysis 10
- Market Dynamics and Volatility 6
- Economic theories and models 5
- Fiscal Policies and Political Economy 4
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- Monetary Policy and Economic Impact 7
- Accounting top 5%
- Co-authors
- Sujit KapadiaAndrew HaldaneKartik AnandNicholas VauseMatthew WillisonMatteo MarsiliPiergiorgio AlessandriNada Mora
- Journals
- Review of Financial Studies (1 paper)The Economic Journal (1 paper)Journal of Banking & Finance (1 paper)
- 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
The 24 scholars most cited alongside Prasanna Gai, 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 | 2023 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2020 | 1 | |
| 4 | 2019 | 31 | |
| 5 | 2018 | 16 | |
| 6 | 2017 | 0 | |
| 7 | 2014 | 1 | |
| 8 | Systemic Risk: The Dynamics of Modern Financial Systems | 2013 | 6 |
| 9 | 2013 | 4 | |
| 10 | 2012 | 10 | |
| 11 | 2012 | 68 | |
| 12 | 2009 | 0 | |
| 13 | 2009 | 95 | |
| 14 | 2008 | 46 | |
| 15 | 2007 | 29 | |
| 16 | Measuring Investors' Risk Appetite | 2005 | 30 |
| 17 | Financial Stability, Monetary Stability and Public Policy | 2005 | 0 |
| 18 | International Financial Crises and Public Policy: Some Welfare Analysis | 2005 | 1 |
| 19 | 2003 | 5 | |
| 20 | 2001 | 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), Complex Systems and Time Series Analysis (10 papers), Monetary Policy and Economic Impact (7 papers), Credit Risk and Financial Regulations (6 papers), Market Dynamics and Volatility (6 papers), Economic theories and models (5 papers) and Fiscal Policies and Political Economy (4 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.