OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

El Niño and forecastability of oil-price realized volatility
Elie Bouri, Rangan Gupta, Christian Pierdzioch, et al.
Theoretical and Applied Climatology (2021) Vol. 144, Iss. 3-4, pp. 1173-1180
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

The impacts of El Niño-southern oscillation on renewable energy stock markets: Evidence from quantile perspective
Yu Wei, Jiahao Zhang, Yongfei Chen, et al.
Energy (2022) Vol. 260, pp. 124949-124949
Closed Access | Times Cited: 38

Do geopolitical oil price risk influence stock market returns and volatility of Pakistan: Evidence from novel non-parametric quantile causality approach
Nasir Khan, Asima Saleem, Oktay Ӧzkan
Resources Policy (2023) Vol. 81, pp. 103355-103355
Closed Access | Times Cited: 35

Transition risk, physical risk, and the realized volatility of oil and natural gas prices
Afees A. Salisu, Umar B. Ndako, Xuan Vinh Vo
Resources Policy (2023) Vol. 81, pp. 103383-103383
Closed Access | Times Cited: 25

The predictive power of Bitcoin prices for the realized volatility of US stock sector returns
Elie Bouri, Afees A. Salisu, Rangan Gupta
Financial Innovation (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 20

Blessings or curse: How do media climate change concerns affect commodity tail risk spillovers?
Linh Pham, Javed Bin Kamal
Journal of commodity markets (2024) Vol. 34, pp. 100407-100407
Closed Access | Times Cited: 5

Stock market bubbles and the realized volatility of oil price returns
Rangan Gupta, Joshua Nielsen, Christian Pierdzioch
Energy Economics (2024) Vol. 132, pp. 107432-107432
Open Access | Times Cited: 5

Impacts of ocean atmospheric phenomena on hydroclimate extremes
Sarmistha Singh, Chinju Saju, K. Athira
Elsevier eBooks (2025), pp. 119-133
Closed Access

Unfolding the differences in two types of ENSO indices with various definitions: A systematic review with the same criteria
Jian Xu, Chundi Hu, Song Yang, et al.
Earth-Science Reviews (2025), pp. 105076-105076
Closed Access

Shortages and Machine-Learning Forecasting of Oil Returns Volatility: 1900-2024
Onur Polat, Dhanashree Somani, Rangan Gupta, et al.
Finance research letters (2025), pp. 107334-107334
Open Access

Forecasting realized volatility of international REITs: The role of realized skewness and realized kurtosis
Matteo Bonato, Oğuzhan Çepni, Rangan Gupta, et al.
Journal of Forecasting (2021) Vol. 41, Iss. 2, pp. 303-315
Open Access | Times Cited: 29

Forecasting the realized variance of oil-price returns: a disaggregated analysis of the role of uncertainty and geopolitical risk
Rangan Gupta, Christian Pierdzioch
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 34, pp. 52070-52082
Open Access | Times Cited: 19

Forecasting the realized variance of oil-price returns using machine learning: Is there a role for U.S. state-level uncertainty?
Oğuzhan Çepni, Rangan Gupta, Daniel P. Pienaar, et al.
Energy Economics (2022) Vol. 114, pp. 106229-106229
Closed Access | Times Cited: 19

Which ENSO index best represents its global influences?
Xiaofan Li, Zeng‐Zhen Hu, Ruiqiang Ding, et al.
Climate Dynamics (2023) Vol. 61, Iss. 9-10, pp. 4899-4913
Closed Access | Times Cited: 12

Risk transmission of El Niño-induced climate change to regional Green Economy Index
Li Zhang, Yan Li, Si-Xin Yu, et al.
Economic Analysis and Policy (2023) Vol. 79, pp. 860-872
Closed Access | Times Cited: 12

Forecasting the realized volatility of agricultural commodity prices: Does sentiment matter?
Matteo Bonato, Oğuzhan Çepni, Rangan Gupta, et al.
Journal of Forecasting (2024) Vol. 43, Iss. 6, pp. 2088-2125
Open Access | Times Cited: 4

Effect of rare disaster risks on crude oil: evidence from El Niño from over 145 years of data
Rıza Demirer, Rangan Gupta, Jacobus Nel, et al.
Theoretical and Applied Climatology (2021) Vol. 147, Iss. 1-2, pp. 691-699
Closed Access | Times Cited: 25

Climate Risks and the Realized Volatility Oil and Gas Prices: Results of an Out-of-Sample Forecasting Experiment
Rangan Gupta, Christian Pierdzioch
Energies (2021) Vol. 14, Iss. 23, pp. 8085-8085
Open Access | Times Cited: 25

CLIMATE RISKS AND PREDICTABILITY OF COMMODITY RETURNS AND VOLATILITY: EVIDENCE FROM OVER 750 YEARS OF DATA
Jacobus Nel, Rangan Gupta, Mark E. Wohar, et al.
Climate Change Economics (2024) Vol. 15, Iss. 04
Closed Access | Times Cited: 3

Does climate risk as barometers for specific clean energy indices? Insights from quartiles and time-frequency perspective
Hongjun Zeng, Mohammad Zoynul Abedin, Vineet Upreti
Energy Economics (2024) Vol. 140, pp. 108003-108003
Open Access | Times Cited: 3

The (Asymmetric) effect of El Niño and La Niña on gold and silver prices in a GVAR model
Afees A. Salisu, Rangan Gupta, Jacobus Nel, et al.
Resources Policy (2022) Vol. 78, pp. 102897-102897
Closed Access | Times Cited: 14

A Note on Forecasting the Historical Realized Variance of Oil-Price Movements: The Role of Gold-to-Silver and Gold-to-Platinum Price Ratios
Rangan Gupta, Christian Pierdzioch, Wing‐Keung Wong
Energies (2021) Vol. 14, Iss. 20, pp. 6775-6775
Open Access | Times Cited: 18

Climate Risks and Stock Market Volatility over a Century in an Emerging Market Economy: The Case of South Africa
Kejin Wu, Sayar Karmakar, Rangan Gupta, et al.
Climate (2024) Vol. 12, Iss. 5, pp. 68-68
Open Access | Times Cited: 2

El Niño, La Niña, and forecastability of the realized variance of agricultural commodity prices: Evidence from a machine learning approach
Matteo Bonato, Oğuzhan Çepni, Rangan Gupta, et al.
Journal of Forecasting (2022) Vol. 42, Iss. 4, pp. 785-801
Open Access | Times Cited: 11

Southern oscillation: Great value of its trends for forecasting crude oil spot price volatility
Yanran Hong, Jize Yu, Yuquan Su, et al.
International Review of Economics & Finance (2022) Vol. 84, pp. 358-368
Closed Access | Times Cited: 11

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