Magesh Paramasivam

507 total citations
9 papers, 394 citations indexed

About

Magesh Paramasivam is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Magesh Paramasivam has authored 9 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 4 papers in Control and Systems Engineering and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Magesh Paramasivam's work include Power System Optimization and Stability (8 papers), Optimal Power Flow Distribution (4 papers) and Chaos control and synchronization (2 papers). Magesh Paramasivam is often cited by papers focused on Power System Optimization and Stability (8 papers), Optimal Power Flow Distribution (4 papers) and Chaos control and synchronization (2 papers). Magesh Paramasivam collaborates with scholars based in United States. Magesh Paramasivam's co-authors include Venkataramana Ajjarapu, Umesh Vaidya, Sambarta Dasgupta, Navin Bhatt, Vijay Vittal, Shanshan Liu, V. Ajjarapu and S. Dasgupta and has published in prestigious journals such as IEEE Transactions on Power Systems.

In The Last Decade

Magesh Paramasivam

9 papers receiving 387 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Magesh Paramasivam United States	8	388	233	81	29	21	9	394
Armando Salazar United States	10	414 1.1×	288 1.2×	57 0.7×	26 0.9×	25 1.2×	18	441
Damien Ernst Belgium	5	516 1.3×	306 1.3×	102 1.3×	12 0.4×	10 0.5×	9	551
E. Lerch Germany	10	531 1.4×	321 1.4×	40 0.5×	32 1.1×	8 0.4×	42	548
A.G. Phadke United States	10	426 1.1×	332 1.4×	52 0.6×	13 0.4×	17 0.8×	14	451
Khoi Vu United States	9	470 1.2×	373 1.6×	53 0.7×	22 0.8×	18 0.9×	11	492
M.L. Gilles United States	9	371 1.0×	197 0.8×	44 0.5×	8 0.3×	10 0.5×	14	391
V.F. Carvalho Canada	8	290 0.7×	151 0.6×	58 0.7×	10 0.3×	15 0.7×	15	307
A.Y. Chang Canada	6	311 0.8×	181 0.8×	86 1.1×	7 0.2×	33 1.6×	9	325
Jonas Kersulis United States	4	308 0.8×	238 1.0×	25 0.3×	17 0.6×	19 0.9×	6	336
Tingyan Guo United Kingdom	7	329 0.8×	166 0.7×	139 1.7×	9 0.3×	39 1.9×	14	355

Countries citing papers authored by Magesh Paramasivam

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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9 of 9 papers shown

1.

Paramasivam, Magesh, Sambarta Dasgupta, Umesh Vaidya, & Venkataramana Ajjarapu. (2015). Entropy-based metric for characterization of delayed voltage recovery. 1–1. 1 indexed citations

2.

Paramasivam, Magesh, Sambarta Dasgupta, Venkataramana Ajjarapu, & Umesh Vaidya. (2015). Contingency Analysis and Identification of Dynamic Voltage Control Areas. IEEE Transactions on Power Systems. 30(6). 2974–2983. 22 indexed citations

3.

Dasgupta, Sambarta, Magesh Paramasivam, Umesh Vaidya, & Venkataramana Ajjarapu. (2014). Entropy-Based Metric for Characterization of Delayed Voltage Recovery. IEEE Transactions on Power Systems. 30(5). 2460–2468. 18 indexed citations

4.

Paramasivam, Magesh, et al.. (2014). Dynamic optimization based reactive power planning to mitigate slow voltage recovery and short term voltage instability. 1–1. 10 indexed citations

5.

Dasgupta, Sambarta, Magesh Paramasivam, Umesh Vaidya, & Venkataramana Ajjarapu. (2014). Real-time monitoring of short-term voltage stability using PMU data. 1–1. 14 indexed citations

6.

Dasgupta, Sambarta, Magesh Paramasivam, Umesh Vaidya, & Venkataramana Ajjarapu. (2014). PMU-Based Model-Free Approach for Real-Time Rotor Angle Monitoring. IEEE Transactions on Power Systems. 30(5). 2818–2819. 67 indexed citations

7.

Dasgupta, Sambarta, Magesh Paramasivam, Umesh Vaidya, & Venkataramana Ajjarapu. (2013). Real-Time Monitoring of Short-Term Voltage Stability Using PMU Data. IEEE Transactions on Power Systems. 28(4). 3702–3711. 135 indexed citations

8.

Paramasivam, Magesh, et al.. (2013). Dynamic Optimization Based Reactive Power Planning to Mitigate Slow Voltage Recovery and Short Term Voltage Instability. IEEE Transactions on Power Systems. 28(4). 3865–3873. 113 indexed citations

9.

Dasgupta, S., Magesh Paramasivam, Umesh Vaidya, & V. Ajjarapu. (2012). PMU-based model-free approach for short term voltage stability monitoring. 14 indexed citations

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.

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