Iman Rahimi
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
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- Hybrid Renewable Energy Systems
Papers in
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- Metaheuristic Optimization Algorithms Research 7
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- Advanced Multi-Objective Optimization Algorithms 8
- Co-authors
- Amir H. Gandomi (19 shared papers)Chen Fang (2 shared papers)Fang Chen (6 shared papers)Mohammad Reza Nikoo (9 shared papers)Efrén Mezura‐Montes (2 shared papers)Fang Chen (1 shared paper)Panagiotis G. Asteris (1 shared paper)Javad Nematian (2 shared papers)
In The Last Decade
Iman Rahimi
39 papers receiving 747 citations
Iman Rahimi's Hit Papers
Peers
Comparison fields: 5 of 106
- Modeling and Simulation 173
- Energy Engineering and Power Technology 44
- Emergency Medical Services 60
- Industrial and Manufacturing Engineering 72
- Health Informatics 8
Countries citing papers authored by Iman Rahimi
This map shows the geographic impact of Iman Rahimi'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 Iman Rahimi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iman Rahimi more than expected).
Fields of papers citing papers by Iman Rahimi
This network shows the impact of papers produced by Iman Rahimi. 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 Iman Rahimi. The network helps show where Iman Rahimi may publish in the future.
Co-authors
The 25 scholars most cited alongside Iman Rahimi, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A review on COVID-19 forecasting models Hit paper breakdown → | 2021 | 177 |
| 2 | 2022 | 106 | |
| 3 | 2020 | 66 | |
| 4 | 2021 | 60 | |
| 5 | 2022 | 57 | |
| 6 | 2020 | 53 | |
| 7 | 2020 | 34 | |
| 8 | 2021 | 31 | |
| 9 | 2023 | 20 | |
| 10 | 2023 | 17 | |
| 11 | 2023 | 17 | |
| 12 | 2022 | 16 | |
| 13 | Improve poultry farm efficiency in Iran: using combination neural networks, decision trees, and data envelopment analysis (DEA) | 2012 | 11 |
| 14 | 2014 | 10 | |
| 15 | 2024 | 9 | |
| 16 | 2023 | 9 | |
| 17 | 2025 | 8 | |
| 18 | 2022 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2018 | 6 |
About Iman Rahimi
Iman Rahimi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering, Management Science and Operations Research and Energy Engineering and Power Technology, having authored 43 papers that have together received 766 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (8 papers), Metaheuristic Optimization Algorithms Research (7 papers), Hybrid Renewable Energy Systems (6 papers), Energy and Environment Impacts (5 papers), COVID-19 epidemiological studies (4 papers), Efficiency Analysis Using DEA (4 papers), Integrated Energy Systems Optimization (4 papers) and Big Data and Business Intelligence (3 papers). The work is most often cited by research in Modeling and Simulation (173 citations), Energy Engineering and Power Technology (44 citations), Emergency Medical Services (60 citations), Industrial and Manufacturing Engineering (72 citations) and Health Informatics (8 citations). Iman Rahimi has collaborated with scholars based in Australia, Iran and Oman. Frequent co-authors include Amir H. Gandomi, Chen Fang, Fang Chen, Mohammad Reza Nikoo, Efrén Mezura‐Montes, Fang Chen, Panagiotis G. Asteris, Javad Nematian, Kalyanmoy Deb and Hamid R. Safavi. Their work appears in journals such as Archives of Computational Methods in Engineering, Expert Systems with Applications, International Journal of Industrial and Systems Engineering, Energy Strategy Reviews and Acta Odontologica Scandinavica.
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.