Masoud Farivar
- Electrical and Electronic Engineering top 2%
- Control and Systems Engineering top 0.5%
- Cognitive Neuroscience top 10%
- Automotive Engineering top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- Steven H. LowLijun ChenRussell NealChristopher R. ClarkeK. Mani ChandyMahsa ShoaranAzita EmamiBingzhao Zhu
- Topics
- Microgrid Control and Optimization (9 papers)Optimal Power Flow Distribution (9 papers)EEG and Brain-Computer Interfaces (5 papers)
- Cited by
- Control and Systems EngineeringElectrical and Electronic EngineeringEnergy Engineering and Power Technology
- Journals
- IEEE Transactions on Power SystemsIEEE Transactions on Biomedical Circuits and SystemsIEEE Journal on Emerging and Selected Topics in Circuits and Systems
- Partner nations
- United StatesSwitzerland
In The Last Decade
Masoud Farivar
14 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Electrical and Electronic Engineering 2.1k
- Control and Systems Engineering 1.4k
- Cognitive Neuroscience 112
- Automotive Engineering 110
- Cellular and Molecular Neuroscience 76
Countries citing papers authored by Masoud Farivar
This map shows the geographic impact of Masoud Farivar'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 Masoud Farivar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masoud Farivar more than expected).
Fields of papers citing papers by Masoud Farivar
This network shows the impact of papers produced by Masoud Farivar. 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 Masoud Farivar. The network helps show where Masoud Farivar may publish in the future.
Co-authorship network of co-authors of Masoud Farivar
This figure shows the co-authorship network connecting the top 25 collaborators of Masoud Farivar. A scholar is included among the top collaborators of Masoud Farivar 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 Masoud Farivar. Masoud Farivar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 38 | |
| 2 | 92 | |
| 3 | 8 | |
| 4 | 20 | |
| 5 | 16 | |
| 6 | 43 | |
| 7 | 8 | |
| 8 | 181 | |
| 9 | Branch Flow Model: Relaxations and Convexification—Part Ibreakdown → | 1089 |
| 10 | 219 | |
| 11 | 252 | |
| 12 | Branch Flow Model: Relaxations and Convexification | 20 |
| 13 | 69 | |
| 14 | 228 |
About Masoud Farivar
Masoud Farivar is a scholar working on Control and Systems Engineering, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 14 papers that have together received 2.3k indexed citations. Recurring topics across this work include Microgrid Control and Optimization (9 papers), Optimal Power Flow Distribution (9 papers) and EEG and Brain-Computer Interfaces (5 papers). The work is most often cited by research in Control and Systems Engineering (1.4k citations), Electrical and Electronic Engineering (2.1k citations) and Energy Engineering and Power Technology (59 citations). Masoud Farivar has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Steven H. Low, Lijun Chen, Russell Neal, Christopher R. Clarke, K. Mani Chandy, Mahsa Shoaran, Azita Emami, Bingzhao Zhu, Anatol Bragin and Yusuf Leblebici. Their work appears in journals such as IEEE Transactions on Power Systems, IEEE Transactions on Biomedical Circuits and Systems and IEEE Journal on Emerging and Selected Topics in Circuits and 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.