Iman Rahimi
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in
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- Metaheuristic Optimization Algorithms Research 6
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- Advanced Multi-Objective Optimization Algorithms 7
- Co-authors
- Amir H. Gandomi (15 shared papers)Chen Fang (2 shared papers)Mohammad Reza Nikoo (8 shared papers)Fang Chen (5 shared papers)Efrén Mezura‐Montes (2 shared papers)Fang Chen (1 shared paper)Panagiotis G. Asteris (1 shared paper)Kalyanmoy Deb (1 shared paper)
In The Last Decade
Iman Rahimi
32 papers receiving 653 citations
Iman Rahimi's Hit Papers
Peers
Comparison fields: 5 of 106
- Modeling and Simulation 175
- Energy Engineering and Power Technology 37
- Emergency Medical Services 60
- Health Informatics 10
- Industrial and Manufacturing Engineering 65
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 35 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 | 165 |
| 2 | 2022 | 81 | |
| 3 | 2020 | 61 | |
| 4 | 2021 | 59 | |
| 5 | 2022 | 55 | |
| 6 | 2020 | 51 | |
| 7 | 2020 | 32 | |
| 8 | 2021 | 31 | |
| 9 | 2023 | 17 | |
| 10 | 2023 | 16 | |
| 11 | 2022 | 15 | |
| 12 | 2023 | 15 | |
| 13 | Improve poultry farm efficiency in Iran: using combination neural networks, decision trees, and data envelopment analysis (DEA) | 2012 | 11 |
| 14 | 2023 | 9 | |
| 15 | 2025 | 8 | |
| 16 | 2014 | 8 | |
| 17 | 2024 | 7 | |
| 18 | 2022 | 7 | |
| 19 | 2016 | 5 | |
| 20 | 2013 | 4 |
About Iman Rahimi
Iman Rahimi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering, Energy Engineering and Power Technology and Pollution, having authored 35 papers that have together received 680 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (7 papers), Hybrid Renewable Energy Systems (6 papers), Metaheuristic Optimization Algorithms Research (6 papers), Energy and Environment Impacts (5 papers), Integrated Energy Systems Optimization (4 papers), Efficiency Analysis Using DEA (4 papers), COVID-19 epidemiological studies (3 papers) and Advanced Statistical Process Monitoring (2 papers). The work is most often cited by research in Modeling and Simulation (175 citations), Energy Engineering and Power Technology (37 citations), Emergency Medical Services (60 citations), Health Informatics (10 citations) and Industrial and Manufacturing Engineering (65 citations). Iman Rahimi has collaborated with scholars based in Australia, Iran and Oman. Frequent co-authors include Amir H. Gandomi, Chen Fang, Mohammad Reza Nikoo, Fang Chen, Efrén Mezura‐Montes, Fang Chen, Panagiotis G. Asteris, Kalyanmoy Deb, Javad Nematian and Mohammad H. Golmohammadi. Their work appears in journals such as Archives of Computational Methods in Engineering, International Journal of Industrial and Systems Engineering, Expert Systems with Applications, Energy Strategy Reviews and Scientific Reports.
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.