Ebrahim Akbari
Impact in
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- Electric Power System Optimization
- Optimal Power Flow Distribution
- Smart Grid Energy Management
- Energy Load and Power Forecasting
Papers in
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- Optimal Power Flow Distribution 11
- Electric Power System Optimization 10
- Energy Load and Power Forecasting 4
- Co-authors
- Sahand Ghavidel (7 shared papers)Mojtaba Ghasemi (7 shared papers)Li Li (5 shared papers)Abolfazl Rahimnejad (12 shared papers)Mojtaba Ghasemi (6 shared papers)S. Andrew Gadsden (10 shared papers)Mohsen Gitizadeh (1 shared paper)Jamshid Aghaei (2 shared papers)
In The Last Decade
Ebrahim Akbari
36 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 87
- Energy Engineering and Power Technology 46
- Electrical and Electronic Engineering 804
- Control and Systems Engineering 297
- Artificial Intelligence 377
- Computational Theory and Mathematics 185
Countries citing papers authored by Ebrahim Akbari
This map shows the geographic impact of Ebrahim Akbari'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 Ebrahim Akbari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ebrahim Akbari more than expected).
Fields of papers citing papers by Ebrahim Akbari
This network shows the impact of papers produced by Ebrahim Akbari. 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 Ebrahim Akbari. The network helps show where Ebrahim Akbari may publish in the future.
Co-authors
The 25 scholars most cited alongside Ebrahim Akbari, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 216 | |
| 2 | 2014 | 146 | |
| 3 | 2020 | 130 | |
| 4 | 2016 | 109 | |
| 5 | 2014 | 108 | |
| 6 | 2019 | 103 | |
| 7 | 2019 | 74 | |
| 8 | 2019 | 65 | |
| 9 | 2018 | 55 | |
| 10 | 2021 | 52 | |
| 11 | 2021 | 43 | |
| 12 | 2021 | 23 | |
| 13 | 2022 | 19 | |
| 14 | 2023 | 16 | |
| 15 | 2023 | 15 | |
| 16 | 2024 | 13 | |
| 17 | 2023 | 13 | |
| 18 | 2021 | 12 | |
| 19 | 2012 | 12 | |
| 20 | 2023 | 10 |
About Ebrahim Akbari
Ebrahim Akbari is a scholar working on Electrical and Electronic Engineering, Clinical Psychology, Artificial Intelligence, Control and Systems Engineering and Computational Theory and Mathematics, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (11 papers), Metaheuristic Optimization Algorithms Research (10 papers), Electric Power System Optimization (10 papers), Evolutionary Algorithms and Applications (6 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (5 papers), Advanced Multi-Objective Optimization Algorithms (5 papers), Microgrid Control and Optimization (4 papers) and Energy Load and Power Forecasting (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (46 citations), Electrical and Electronic Engineering (804 citations), Control and Systems Engineering (297 citations), Artificial Intelligence (377 citations) and Computational Theory and Mathematics (185 citations). Ebrahim Akbari has collaborated with scholars based in Iran, Canada and Australia. Frequent co-authors include Sahand Ghavidel, Mojtaba Ghasemi, Li Li, Abolfazl Rahimnejad, Mojtaba Ghasemi, S. Andrew Gadsden, Mohsen Gitizadeh, Jamshid Aghaei, Iraj Faraji Davoudkhani and Moein Parastegari. Their work appears in journals such as Energy, PeerJ Computer Science, Soft Computing, International Journal of Electrical Power & Energy Systems and Intelligent Systems with Applications.
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.