Nima Rafizadeh

538 total citations · 1 hit paper
17 papers, 364 citations indexed

About

Nima Rafizadeh is a scholar working on Economics and Econometrics, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering. According to data from OpenAlex, Nima Rafizadeh has authored 17 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Economics and Econometrics, 10 papers in Renewable Energy, Sustainability and the Environment and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Nima Rafizadeh's work include Energy, Environment, and Transportation Policies (9 papers), Market Dynamics and Volatility (7 papers) and Energy, Environment, Economic Growth (6 papers). Nima Rafizadeh is often cited by papers focused on Energy, Environment, and Transportation Policies (9 papers), Market Dynamics and Volatility (7 papers) and Energy, Environment, Economic Growth (6 papers). Nima Rafizadeh collaborates with scholars based in United States, Canada and Iran. Nima Rafizadeh's co-authors include Hamed Ghoddusi, Germán G. Creamer, Mohammad Hossein Rahmati, Pierre‐Olivier Pineau and Saeed Moshiri and has published in prestigious journals such as Energy Economics, Sustainability and Economics Letters.

In The Last Decade

Nima Rafizadeh

14 papers receiving 358 citations

Hit Papers

Machine learning in energy economics and finance: A review 2019 2026 2021 2023 2019 100 200 300

Peers

Nima Rafizadeh
Nima Rafizadeh
Citations per year, relative to Nima Rafizadeh Nima Rafizadeh (= 1×) peers Ibrahim Abada

Countries citing papers authored by Nima Rafizadeh

Since Specialization
Citations

This map shows the geographic impact of Nima Rafizadeh'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 Nima Rafizadeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nima Rafizadeh more than expected).

Fields of papers citing papers by Nima Rafizadeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nima Rafizadeh. 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 Nima Rafizadeh. The network helps show where Nima Rafizadeh may publish in the future.

Co-authorship network of co-authors of Nima Rafizadeh

This figure shows the co-authorship network connecting the top 25 collaborators of Nima Rafizadeh. A scholar is included among the top collaborators of Nima Rafizadeh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nima Rafizadeh. Nima Rafizadeh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Rafizadeh, Nima, et al.. (2025). The adoption of Large Language Models in economics research. Economics Letters. 250. 112265–112265.
2.
Pineau, Pierre‐Olivier, et al.. (2024). Drivers of Driving: A Review. Sustainability. 16(6). 2479–2479. 4 indexed citations
3.
Rafizadeh, Nima, et al.. (2024). Double/Debiased Machine Learning for Economists: Practical Guidelines, Best Practices, and Common Pitfalls. SSRN Electronic Journal. 1 indexed citations
4.
Moshiri, Saeed, et al.. (2024). The effects of fuel subsidies on regional income distribution through smuggling. Journal of Regional Science. 64(5). 1596–1621. 1 indexed citations
5.
Rafizadeh, Nima. (2024). Debiasing the Price Elasticity of Gasoline Demand with Double Machine Learning. SSRN Electronic Journal.
6.
Pineau, Pierre‐Olivier & Nima Rafizadeh. (2023). The Drivers of Negative Electricity Price Occurrence: Insights from the New York Wholesale Electricity Markets. SSRN Electronic Journal. 1 indexed citations
7.
Ghoddusi, Hamed, et al.. (2022). Dynamics of fuel demand elasticity: Evidence from Iranian subsidy reforms. Energy Economics. 110. 106009–106009. 6 indexed citations
8.
Moshiri, Saeed, et al.. (2021). Fuel Subsidies, Smuggling, and Regional Inequality. SSRN Electronic Journal.
9.
Ghoddusi, Hamed, et al.. (2021). Google Search Explains Your Gasoline Consumption!. Energy Economics. 99. 105305–105305. 5 indexed citations
10.
Ghoddusi, Hamed, et al.. (2020). Asymmetric Bitcoin Volatility under Structural Breaks. SSRN Electronic Journal. 2 indexed citations
11.
Pineau, Pierre‐Olivier, et al.. (2020). High Frequency Evidence on the Effects of Wind Power Generation on the Electricity Price. SSRN Electronic Journal. 2 indexed citations
12.
Ghoddusi, Hamed, Germán G. Creamer, & Nima Rafizadeh. (2019). Machine learning in energy economics and finance: A review. Energy Economics. 81. 709–727. 305 indexed citations breakdown →
13.
Ghoddusi, Hamed, et al.. (2019). Foreign Exchange Shocks and Gasoline Consumption. Energy Economics. 84. 104472–104472. 14 indexed citations
14.
Ghoddusi, Hamed, et al.. (2018). Foreign Exchange Shocks and Gasoline Consumption. SSRN Electronic Journal. 1 indexed citations
15.
Ghoddusi, Hamed, Nima Rafizadeh, & Mohammad Hossein Rahmati. (2018). Price elasticity of gasoline smuggling: A semi-structural estimation approach. Energy Economics. 71. 171–185. 15 indexed citations
16.
Creamer, Germán G., Hamed Ghoddusi, & Nima Rafizadeh. (2018). Machine Learning in Energy Economics and Finance: A Review. SSRN Electronic Journal. 4 indexed citations
17.
Ghoddusi, Hamed, Nima Rafizadeh, & Mohammad Hossein Rahmati. (2017). Price Elasticity of Gasoline Smuggling: A Semi-Structural Estimation Approach. SSRN Electronic Journal. 3 indexed citations

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.

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