Mapping the landscape of energy markets research: A bibliometric analysis and predictive assessment using machine learning-Reference-Cited by-同舟云学术

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Mapping the landscape of energy markets research: A bibliometric analysis and predictive assessment using machine learning

Published:2024-08 Issue: Volume:136 Page:107698
ISSN:0140-9883
Container-title:Energy Economics
language:en
Short-container-title:Energy Economics

Author:

Silva Thiago Christiano^ORCID,Braz Tercio,Tabak Benjamin Miranda^ORCID

Publisher

Elsevier BV

Reference105 articles.

1. Risk spillover from crude oil prices to GCC stock market returns: New evidence during the COVID-19 outbreak;Abuzayed;North Am. J. Econ. Finance,2021

2. Does oil connect differently with prominent assets during war? Analysis of intra-day data during the Russia-Ukraine Saga;Adekoya;Resour. Policy,2022

3. Volatility transmissions across international oil market, commodity futures and stock markets: Empirical evidence from China;Ahmed;Energy Econ.,2021

4. The energy transition and its macroeconomic effects;Americo,2023

5. Volatility spillover of energy stocks in different periods and clusters based on structural break recognition and network method;An;Energy,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bibliometric Analysis of Multi-Criteria Decision-Making (MCDM) Methods in Environmental and Energy Engineering Using CiteSpace Software: Identification of Key Research Trends and Patterns of International Cooperation;Energies;2024-08-09

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