Amin Kargarian
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- Microgrid Control and Optimization 19
- Smart Grid Security and Resilience 6
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- Optimal Power Flow Distribution 59
- Electric Power System Optimization 42
- Power System Optimization and Stability 23
- Smart Grid Energy Management 18
- Energy Load and Power Forecasting 11
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- Power System Reliability and Maintenance 17
- Automotive Engineering top 5%
- Co-authors
- Yong FuMahdi MehrtashMohammad MohammadiAli MohammadiOrkun KarabaşoğluM. Hadi AminiGabriela HugMahdi Raoofat
- Cited by
- Control and Systems EngineeringElectrical and Electronic EngineeringEnergy Engineering and Power Technology
- Journals
- Journal of Cleaner Production (1 paper)Applied Energy (1 paper)IEEE Transactions on Power Systems (12 papers)
- Partner nations
- United StatesIranSwitzerland
In The Last Decade
Amin Kargarian
78 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 75
- Control and Systems Engineering 903
- Electrical and Electronic Engineering 2.1k
- Energy Engineering and Power Technology 107
- Safety, Risk, Reliability and Quality 222
- Automotive Engineering 236
Countries citing papers authored by Amin Kargarian
This map shows the geographic impact of Amin Kargarian'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 Amin Kargarian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amin Kargarian more than expected).
Fields of papers citing papers by Amin Kargarian
This network shows the impact of papers produced by Amin Kargarian. 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 Amin Kargarian. The network helps show where Amin Kargarian may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Amin Kargarian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2022 | 12 | |
| 6 | 2022 | 5 | |
| 7 | 2021 | 69 | |
| 8 | 2021 | 15 | |
| 9 | 2021 | 3 | |
| 10 | 2019 | 26 | |
| 11 | 2019 | 42 | |
| 12 | 2018 | 2 | |
| 13 | 2018 | 8 | |
| 14 | 2016 | 58 | |
| 15 | 2016 | 20 | |
| 16 | 2015 | 48 | |
| 17 | 2012 | 14 | |
| 18 | 2011 | 4 | |
| 19 | 2011 | 18 | |
| 20 | Fast loss allocation in bilateral open access environment using artificial neural networks | 2009 | 4 |
About Amin Kargarian
Amin Kargarian is a scholar working on Safety, Risk, Reliability and Quality, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 82 papers that have together received 2.3k indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (59 papers), Electric Power System Optimization (42 papers), Power System Optimization and Stability (23 papers), Microgrid Control and Optimization (19 papers), Smart Grid Energy Management (18 papers), Power System Reliability and Maintenance (17 papers), Energy Load and Power Forecasting (11 papers) and Smart Grid Security and Resilience (6 papers). The work is most often cited by research in Control and Systems Engineering (903 citations), Electrical and Electronic Engineering (2.1k citations) and Energy Engineering and Power Technology (107 citations). Amin Kargarian has collaborated with scholars based in United States, Iran and Switzerland. Frequent co-authors include Yong Fu, Mahdi Mehrtash, Mohammad Mohammadi, Ali Mohammadi, Orkun Karabaşoğlu, M. Hadi Amini, Gabriela Hug, Mahdi Raoofat, Javad Mohammadi and Bamdad Falahati. Their work appears in journals such as Journal of Cleaner Production, Applied Energy and IEEE Transactions on Power Systems.
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.