Magesh Paramasivam
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Safety, Risk, Reliability and Quality top 5%
- Energy Engineering and Power Technology top 10%
- Artificial Intelligence
- Co-authors
- Venkataramana AjjarapuUmesh VaidyaSambarta DasguptaShanshan LiuNavin BhattVijay VittalV. AjjarapuS. Dasgupta
- Topics
- Power System Optimization and Stability (8 papers)Optimal Power Flow Distribution (4 papers)Chaos control and synchronization (2 papers)
- Cited by
- Control and Systems EngineeringEnergy Engineering and Power TechnologySafety, Risk, Reliability and Quality
- Journals
- IEEE Transactions on Power Systems
- Partner nations
- United States
In The Last Decade
Magesh Paramasivam
9 papers receiving 387 citations
Peers
Comparison fields: 5 of 22
- Electrical and Electronic Engineering 388
- Control and Systems Engineering 233
- Safety, Risk, Reliability and Quality 81
- Energy Engineering and Power Technology 29
- Artificial Intelligence 21
Countries citing papers authored by Magesh Paramasivam
This map shows the geographic impact of Magesh Paramasivam'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 Magesh Paramasivam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Magesh Paramasivam more than expected).
Fields of papers citing papers by Magesh Paramasivam
This network shows the impact of papers produced by Magesh Paramasivam. 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 Magesh Paramasivam. The network helps show where Magesh Paramasivam may publish in the future.
Co-authorship network of co-authors of Magesh Paramasivam
This figure shows the co-authorship network connecting the top 25 collaborators of Magesh Paramasivam. A scholar is included among the top collaborators of Magesh Paramasivam 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 Magesh Paramasivam. Magesh Paramasivam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 22 | |
| 3 | 18 | |
| 4 | 14 | |
| 5 | 10 | |
| 6 | 67 | |
| 7 | 135 | |
| 8 | 113 | |
| 9 | 14 |
About Magesh Paramasivam
Magesh Paramasivam is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering and Statistical and Nonlinear Physics, having authored 9 papers that have together received 394 indexed citations. Recurring topics across this work include Power System Optimization and Stability (8 papers), Optimal Power Flow Distribution (4 papers) and Chaos control and synchronization (2 papers). The work is most often cited by research in Control and Systems Engineering (233 citations), Energy Engineering and Power Technology (29 citations) and Safety, Risk, Reliability and Quality (81 citations). Magesh Paramasivam has collaborated with scholars based in United States. Frequent co-authors include Venkataramana Ajjarapu, Umesh Vaidya, Sambarta Dasgupta, Shanshan Liu, Navin Bhatt, Vijay Vittal, V. Ajjarapu and S. Dasgupta. Their work appears in journals such as 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.