Deepa Bannigidadmath
Impact in
- Finance top 2%
- Financial Markets and Investment Strategies
- Financial Risk and Volatility Modeling
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- Monetary Policy and Economic Impact
Papers in
- Finance 13
- Financial Markets and Investment Strategies 11
- Banking stability, regulation, efficiency 3
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- Market Dynamics and Volatility 13
- COVID-19 Pandemic Impacts 3
- Insurance and Financial Risk Management 2
- Co-authors
- Paresh Kumar Narayan (13 shared papers)Dinh Hoang Bach Phan (3 shared papers)Seema Narayan (2 shared papers)Qiang Gong (1 shared paper)Susan Sunila Sharma (1 shared paper)Edmund Goh (1 shared paper)Saiyidi Mat Roni (1 shared paper)Robert Powell (2 shared papers)
In The Last Decade
Deepa Bannigidadmath
20 papers receiving 620 citations
Peers
Comparison fields: 5 of 43
- Finance 296
- General Economics, Econometrics and Finance 182
- Economics and Econometrics 507
- Accounting 150
- Management Science and Operations Research 115
Countries citing papers authored by Deepa Bannigidadmath
This map shows the geographic impact of Deepa Bannigidadmath'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 Deepa Bannigidadmath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepa Bannigidadmath more than expected).
Fields of papers citing papers by Deepa Bannigidadmath
This network shows the impact of papers produced by Deepa Bannigidadmath. 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 Deepa Bannigidadmath. The network helps show where Deepa Bannigidadmath may publish in the future.
Co-authors
The 9 scholars most cited alongside Deepa Bannigidadmath, 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 | 2015 | 147 | |
| 2 | 2015 | 126 | |
| 3 | 2015 | 107 | |
| 4 | 2021 | 52 | |
| 5 | 2017 | 36 | |
| 6 | 2017 | 27 | |
| 7 | 2020 | 23 | |
| 8 | 2013 | 21 | |
| 9 | 2021 | 17 | |
| 10 | 2021 | 16 | |
| 11 | 2017 | 12 | |
| 12 | 2021 | 11 | |
| 13 | 2020 | 10 | |
| 14 | 2021 | 8 | |
| 15 | 2020 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2024 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2023 | 3 |
About Deepa Bannigidadmath
Deepa Bannigidadmath is a scholar working on Finance, Economics and Econometrics, General Economics, Econometrics and Finance, Management Science and Operations Research and Accounting, having authored 20 papers that have together received 639 indexed citations. Recurring topics across this work include Market Dynamics and Volatility (13 papers), Financial Markets and Investment Strategies (11 papers), Monetary Policy and Economic Impact (6 papers), Stock Market Forecasting Methods (4 papers), Banking stability, regulation, efficiency (3 papers), COVID-19 Pandemic Impacts (3 papers), Insurance and Financial Risk Management (2 papers) and Corporate Finance and Governance (2 papers). The work is most often cited by research in Finance (296 citations), General Economics, Econometrics and Finance (182 citations), Economics and Econometrics (507 citations), Accounting (150 citations) and Management Science and Operations Research (115 citations). Deepa Bannigidadmath has collaborated with scholars based in Australia, Malaysia and China. Frequent co-authors include Paresh Kumar Narayan, Dinh Hoang Bach Phan, Seema Narayan, Qiang Gong, Susan Sunila Sharma, Edmund Goh, Saiyidi Mat Roni, Robert Powell and Kannan Thuraisamy. Their work appears in journals such as Pacific-Basin Finance Journal, Emerging Markets Review, International Review of Economics & Finance, Emerging Markets Finance and Trade and Journal of Behavioral and Experimental 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.