Standout Papers

Machine learning in energy economics and finance: A review 2019 2026 2021 2023 266
  1. Machine learning in energy economics and finance: A review (2019)
    Hamed Ghoddusi, Germán G. Creamer et al. Energy Economics

Immediate Impact

1 by Nobel laureates 1 from Science/Nature 54 standout
Sub-graph 1 of 24

Citing Papers

A review of machine learning applications in polymer composites: advancements, challenges, and future prospects
2025 Standout
Evaluating financial implications of renewable energy for climate action and sustainable development goals
2025 Standout
2 intermediate papers

Works of Hamed Ghoddusi being referenced

Volatility spillovers for energy prices: A diagonal BEKK approach
2020
Machine learning in energy economics and finance: A review
2019 Standout

Author Peers

Author Last Decade Papers Cites
Hamed Ghoddusi 406 220 69 138 46 667
Xingyu Dai 465 182 45 115 26 595
Sida Feng 361 141 46 149 37 707
Fulvio Fontini 332 191 54 129 45 627
Dong‐xiao Yang 509 299 60 171 24 744
Lu‐Tao Zhao 463 213 31 120 58 758
Yu Chen 490 139 41 80 65 820
Yifan Shen 420 142 56 185 59 816
Florentina Paraschiv 260 152 46 510 48 735
Luigi Grossi 323 117 80 260 47 659
Shimon Awerbuch 300 268 32 263 25 691

All Works

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Rankless by CCL
2026