Rangan Gupta
Impact in
- General Energy top 0.01%
-
- Monetary Policy and Economic Impact
Papers in
-
- Market Dynamics and Volatility 531
- Energy, Environment, Economic Growth 186
- Housing Market and Economics 113
- Complex Systems and Time Series Analysis 71
- Fiscal Policy and Economic Growth 67
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- Monetary Policy and Economic Impact 403
- Co-authors
- Elie Bouri (57 shared papers)Mehmet Balcılar (109 shared papers)David Roubaud (11 shared papers)Mark E. Wohar (79 shared papers)David Gabauer (26 shared papers)Christian Pierdzioch (70 shared papers)Rıza Demirer (57 shared papers)Aviral Kumar Tiwari (28 shared papers)
- Journals
- Finance research letters (34 papers)Energy Economics (26 papers)Journal of Forecasting (24 papers)Resources Policy (21 papers)The North American Journal of Economics and Finance (21 papers)
- Partner nations
- South AfricaUnited StatesUnited Kingdom
In The Last Decade
Rangan Gupta
761 papers receiving 22.2k citations
Rangan Gupta's Hit Papers
Peers
Comparison fields: 5 of 144
- General Energy 1.1k
- General Economics, Econometrics and Finance 6.6k
- Economics and Econometrics 20.4k
- Finance 6.1k
- Renewable Energy, Sustainability and the Environment 3.9k
Countries citing papers authored by Rangan Gupta
This map shows the geographic impact of Rangan Gupta'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 Rangan Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rangan Gupta more than expected).
Fields of papers citing papers by Rangan Gupta
This network shows the impact of papers produced by Rangan Gupta. 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 Rangan Gupta. The network helps show where Rangan Gupta may publish in the future.
Co-authors
The 25 scholars most cited alongside Rangan Gupta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 794 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions Hit paper breakdown → | 2017 | 657 |
| 2 | Can volume predict Bitcoin returns and volatility? A quantiles-based approach Hit paper breakdown → | 2017 | 571 |
| 3 | Return connectedness across asset classes around the COVID-19 outbreak Hit paper breakdown → | 2020 | 500 |
| 4 | Herding behaviour in cryptocurrencies Hit paper breakdown → | 2018 | 388 |
| 5 | 2013 | 358 | |
| 6 | Geopolitical risks and stock market dynamics of the BRICS Hit paper breakdown → | 2018 | 337 |
| 7 | Geopolitical risks and the oil-stock nexus over 1899–2016 Hit paper breakdown → | 2017 | 321 |
| 8 | Has oil price predicted stock returns for over a century? Hit paper breakdown → | 2014 | 304 |
| 9 | On the transmission mechanism of country-specific and international economic uncertainty spillovers: Evidence from a TVP-VAR connectedness decomposition approach Hit paper breakdown → | 2018 | 304 |
| 10 | 2016 | 287 | |
| 11 | Dynamic connectedness of uncertainty across developed economies: A time-varying approach Hit paper breakdown → | 2018 | 275 |
| 12 | Does uncertainty move the gold price? New evidence from a nonparametric causality-in-quantiles test Hit paper breakdown → | 2016 | 268 |
| 13 | Does global economic uncertainty matter for the volatility and hedging effectiveness of Bitcoin? Hit paper breakdown → | 2018 | 261 |
| 14 | Spillovers between Bitcoin and other assets during bear and bull markets Hit paper breakdown → | 2018 | 250 |
| 15 | Network causality structures among Bitcoin and other financial assets: A directed acyclic graph approach Hit paper breakdown → | 2018 | 209 |
| 16 | Time-Varying Impact of Geopolitical Risks on Oil Prices Hit paper breakdown → | 2019 | 206 |
| 17 | 2016 | 206 | |
| 18 | 2015 | 206 | |
| 19 | 2017 | 202 | |
| 20 | 2018 | 184 |
About Rangan Gupta
Rangan Gupta is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Finance, Renewable Energy, Sustainability and the Environment and Management Science and Operations Research, having authored 794 papers that have together received 23.0k indexed citations. Recurring topics across this work include Market Dynamics and Volatility (531 papers), Monetary Policy and Economic Impact (403 papers), Energy, Environment, Economic Growth (186 papers), Financial Risk and Volatility Modeling (144 papers), Financial Markets and Investment Strategies (123 papers), Housing Market and Economics (113 papers), Complex Systems and Time Series Analysis (71 papers) and Fiscal Policy and Economic Growth (67 papers). The work is most often cited by research in General Energy (1.1k citations), General Economics, Econometrics and Finance (6.6k citations), Economics and Econometrics (20.4k citations), Finance (6.1k citations) and Renewable Energy, Sustainability and the Environment (3.9k citations). Rangan Gupta has collaborated with scholars based in South Africa, United States and United Kingdom. Frequent co-authors include Elie Bouri, Mehmet Balcılar, David Roubaud, Mark E. Wohar, David Gabauer, Christian Pierdzioch, Rıza Demirer, Aviral Kumar Tiwari, Stephen M. Miller and Tsangyao Chang. Their work appears in journals such as Finance research letters, Energy Economics, Journal of Forecasting, Resources Policy and The North American Journal of Economics and 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.