Rasool Azimi
Impact in
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- Photovoltaic System Optimization Techniques
- Solar Thermal and Photovoltaic Systems
- Artificial Intelligence top 5%
- Solar Radiation and Photovoltaics
Papers in
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- Energy Load and Power Forecasting 8
- Electric Power System Optimization 4
-
- Solar Radiation and Photovoltaics 4
- Advanced Clustering Algorithms Research 3
- Data Stream Mining Techniques 1
- Co-authors
- M. Ghofrani (9 shared papers)M. Ghayekhloo (6 shared papers)Mohammad Bagher Menhaj (2 shared papers)Hedieh Sajedi (5 shared papers)Odile Liboiron-Ladouceur (1 shared paper)James J. Clark (1 shared paper)
- Journals
- Energy Conversion and Management (2 papers)Applied Soft Computing (2 papers)Journal of Parallel and Distributed Computing (1 paper)Solar Energy (1 paper)Neural Computing and Applications (1 paper)
- Partner nations
- IranUnited StatesSweden
In The Last Decade
Rasool Azimi
13 papers receiving 443 citations
Peers
Comparison fields: 5 of 58
- Renewable Energy, Sustainability and the Environment 134
- Artificial Intelligence 263
- Energy Engineering and Power Technology 23
- Electrical and Electronic Engineering 328
- Management Science and Operations Research 63
Countries citing papers authored by Rasool Azimi
This map shows the geographic impact of Rasool Azimi'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 Rasool Azimi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rasool Azimi more than expected).
Fields of papers citing papers by Rasool Azimi
This network shows the impact of papers produced by Rasool Azimi. 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 Rasool Azimi. The network helps show where Rasool Azimi may publish in the future.
Co-authors
The 6 scholars most cited alongside Rasool Azimi, 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 | 2016 | 125 | |
| 2 | 2016 | 120 | |
| 3 | 2015 | 63 | |
| 4 | 2016 | 42 | |
| 5 | 2018 | 38 | |
| 6 | 2017 | 19 | |
| 7 | 2018 | 12 | |
| 8 | 2016 | 12 | |
| 9 | 2017 | 10 | |
| 10 | 2016 | 9 | |
| 11 | 2017 | 6 | |
| 12 | 2017 | 2 | |
| 13 | Persistent K-Means: Stable Data Clustering Algorithm Based on K-Means Algorithm | 2014 | 1 |
| 14 | 2025 | 0 |
About Rasool Azimi
Rasool Azimi is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Statistical and Nonlinear Physics and Renewable Energy, Sustainability and the Environment, having authored 14 papers that have together received 459 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (8 papers), Electric Power System Optimization (4 papers), Solar Radiation and Photovoltaics (4 papers), Complex Network Analysis Techniques (3 papers), Photovoltaic System Optimization Techniques (3 papers), Peer-to-Peer Network Technologies (3 papers), Advanced Clustering Algorithms Research (3 papers) and Data Stream Mining Techniques (1 paper). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (134 citations), Artificial Intelligence (263 citations), Energy Engineering and Power Technology (23 citations), Electrical and Electronic Engineering (328 citations) and Management Science and Operations Research (63 citations). Rasool Azimi has collaborated with scholars based in Iran, United States and Sweden. Frequent co-authors include M. Ghofrani, M. Ghayekhloo, Mohammad Bagher Menhaj, Hedieh Sajedi, Odile Liboiron-Ladouceur and James J. Clark. Their work appears in journals such as Energy Conversion and Management, Applied Soft Computing, Journal of Parallel and Distributed Computing, Solar Energy and Neural Computing and 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.