Nima Nonejad
Impact in
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- Monetary Policy and Economic Impact
- Finance top 5%
- Financial Risk and Volatility Modeling
- Financial Markets and Investment Strategies
Papers in
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- Market Dynamics and Volatility 31
- Energy, Environment, Economic Growth 6
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- Monetary Policy and Economic Impact 20
- Co-authors
- Leopoldo Catania (2 shared papers)Stefano Grassi (1 shared paper)Paolo Santucci de Magistris (1 shared paper)
- Journals
- Empirical Economics (4 papers)International Review of Financial Analysis (4 papers)Energy Economics (3 papers)Journal of Forecasting (3 papers)Economics Letters (3 papers)
- Partner nations
- DenmarkUnited KingdomItaly
In The Last Decade
Nima Nonejad
35 papers receiving 302 citations
Peers
Comparison fields: 5 of 37
- General Economics, Econometrics and Finance 125
- Finance 125
- Economics and Econometrics 334
- Management Science and Operations Research 92
- Renewable Energy, Sustainability and the Environment 105
Countries citing papers authored by Nima Nonejad
This map shows the geographic impact of Nima Nonejad'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 Nonejad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nima Nonejad more than expected).
Fields of papers citing papers by Nima Nonejad
This network shows the impact of papers produced by Nima Nonejad. 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 Nonejad. The network helps show where Nima Nonejad may publish in the future.
Co-authors
The 3 scholars most cited alongside Nima Nonejad, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 86 | |
| 2 | 2019 | 24 | |
| 3 | 2021 | 22 | |
| 4 | 2018 | 18 | |
| 5 | 2020 | 18 | |
| 6 | 2020 | 18 | |
| 7 | 2021 | 18 | |
| 8 | 2019 | 15 | |
| 9 | 2021 | 14 | |
| 10 | 2018 | 13 | |
| 11 | 2019 | 12 | |
| 12 | 2016 | 11 | |
| 13 | 2019 | 10 | |
| 14 | 2020 | 8 | |
| 15 | 2022 | 8 | |
| 16 | 2021 | 7 | |
| 17 | 2018 | 7 | |
| 18 | 2015 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2020 | 5 |
About Nima Nonejad
Nima Nonejad is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Renewable Energy, Sustainability and the Environment, Finance and Management Science and Operations Research, having authored 38 papers that have together received 377 indexed citations. Recurring topics across this work include Market Dynamics and Volatility (31 papers), Monetary Policy and Economic Impact (20 papers), Energy, Environment, and Transportation Policies (12 papers), Financial Risk and Volatility Modeling (12 papers), Global Energy and Sustainability Research (11 papers), Energy, Environment, Economic Growth (6 papers), Financial Markets and Investment Strategies (4 papers) and Forecasting Techniques and Applications (4 papers). The work is most often cited by research in General Economics, Econometrics and Finance (125 citations), Finance (125 citations), Economics and Econometrics (334 citations), Management Science and Operations Research (92 citations) and Renewable Energy, Sustainability and the Environment (105 citations). Nima Nonejad has collaborated with scholars based in Denmark, United Kingdom and Italy. Frequent co-authors include Leopoldo Catania, Stefano Grassi and Paolo Santucci de Magistris. Their work appears in journals such as Empirical Economics, International Review of Financial Analysis, Energy Economics, Journal of Forecasting and Economics Letters.
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.