S.A. Nabavi-Niaki
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 2%
- Energy Engineering and Power Technology top 10%
- Safety, Risk, Reliability and Quality top 10%
- Artificial Intelligence
- Co-authors
- H. HedayatiAdel AkbarimajdMahmoud‐Reza HaghifamMajid ShahabiMustafa MohamadianMohammad NasirAli Sadollahİbrahim Berkan Aydilek
- Topics
- Optimal Power Flow Distribution (5 papers)Power System Optimization and Stability (5 papers)Microgrid Control and Optimization (3 papers)
- Cited by
- Control and Systems EngineeringEnergy Engineering and Power TechnologyElectrical and Electronic Engineering
- Journals
- Renewable and Sustainable Energy ReviewsIEEE Transactions on Power DeliveryIEEE Transactions on Energy Conversion
- Partner nations
- IranCanadaBangladesh
In The Last Decade
S.A. Nabavi-Niaki
9 papers receiving 540 citations
Hit Papers
Peers
Comparison fields: 5 of 28
- Electrical and Electronic Engineering 565
- Control and Systems Engineering 445
- Energy Engineering and Power Technology 31
- Safety, Risk, Reliability and Quality 28
- Artificial Intelligence 20
Countries citing papers authored by S.A. Nabavi-Niaki
This map shows the geographic impact of S.A. Nabavi-Niaki'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 S.A. Nabavi-Niaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.A. Nabavi-Niaki more than expected).
Fields of papers citing papers by S.A. Nabavi-Niaki
This network shows the impact of papers produced by S.A. Nabavi-Niaki. 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 S.A. Nabavi-Niaki. The network helps show where S.A. Nabavi-Niaki may publish in the future.
Co-authorship network of co-authors of S.A. Nabavi-Niaki
This figure shows the co-authorship network connecting the top 25 collaborators of S.A. Nabavi-Niaki. A scholar is included among the top collaborators of S.A. Nabavi-Niaki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S.A. Nabavi-Niaki. S.A. Nabavi-Niaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 49 | |
| 2 | 30 | |
| 3 | 124 | |
| 4 | 14 | |
| 5 | A Method for Placement of DG Units in Distribution Networksbreakdown → | 338 |
| 6 | 20 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 2 |
About S.A. Nabavi-Niaki
S.A. Nabavi-Niaki is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 9 papers that have together received 580 indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (5 papers), Power System Optimization and Stability (5 papers) and Microgrid Control and Optimization (3 papers). The work is most often cited by research in Control and Systems Engineering (445 citations), Energy Engineering and Power Technology (31 citations) and Electrical and Electronic Engineering (565 citations). S.A. Nabavi-Niaki has collaborated with scholars based in Iran, Canada and Bangladesh. Frequent co-authors include H. Hedayati, Adel Akbarimajd, Mahmoud‐Reza Haghifam, Majid Shahabi, Mustafa Mohamadian, Mohammad Nasir, Ali Sadollah, İbrahim Berkan Aydilek, Afshin Lashkar Ara and Jamshid Aghaei. Their work appears in journals such as Renewable and Sustainable Energy Reviews, IEEE Transactions on Power Delivery and IEEE Transactions on Energy Conversion.
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.