S. Paramasivam

1.7k total citations · 1 hit paper
104 papers, 1.3k citations indexed

About

S. Paramasivam is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, S. Paramasivam has authored 104 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Electrical and Electronic Engineering, 49 papers in Control and Systems Engineering and 23 papers in Mechanical Engineering. Recurrent topics in S. Paramasivam's work include Electric Motor Design and Analysis (33 papers), Multilevel Inverters and Converters (29 papers) and Sensorless Control of Electric Motors (18 papers). S. Paramasivam is often cited by papers focused on Electric Motor Design and Analysis (33 papers), Multilevel Inverters and Converters (29 papers) and Sensorless Control of Electric Motors (18 papers). S. Paramasivam collaborates with scholars based in India, Denmark and Saudi Arabia. S. Paramasivam's co-authors include R. Arumugam, V.K. Arun Shankar, Umashankar Subramaniam, Norbert Hanigovszki, M. Vasudevan, K.N. Srinivas, K. Vijayakumar, N. Kanagaraj, K. Palanisamy and N. Yadaiah and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Scientific Reports.

In The Last Decade

S. Paramasivam

95 papers receiving 1.2k citations

Hit Papers

A comprehensive review on energy efficiency enhancement i... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Paramasivam India 15 839 600 364 165 124 104 1.3k
Cristian H. De Angelo Argentina 24 1.3k 1.5× 1.5k 2.4× 514 1.4× 137 0.8× 243 2.0× 169 2.1k
Loránd Szabó Romania 18 1.0k 1.2× 902 1.5× 632 1.7× 115 0.7× 243 2.0× 176 1.6k
A. J. Pires Portugal 18 847 1.0× 706 1.2× 313 0.9× 104 0.6× 126 1.0× 101 1.3k
Ewen Ritchie Denmark 15 760 0.9× 600 1.0× 236 0.6× 54 0.3× 158 1.3× 61 1.1k
Jafar Milimonfared Iran 26 2.0k 2.4× 1.3k 2.2× 305 0.8× 93 0.6× 132 1.1× 153 2.5k
Thanga Raj Chelliah India 20 1.1k 1.3× 822 1.4× 158 0.4× 128 0.8× 31 0.3× 134 1.4k
R. Ibtiouen Algeria 19 1.3k 1.5× 1.1k 1.8× 380 1.0× 112 0.7× 492 4.0× 89 1.9k
Ali M. Bazzi United States 25 1.7k 2.0× 871 1.5× 268 0.7× 90 0.5× 80 0.6× 159 2.1k
Gongbo Zhou China 21 377 0.4× 582 1.0× 684 1.9× 264 1.6× 29 0.2× 103 1.4k
Ali Yazdian Varjani Iran 27 1.7k 2.0× 1.1k 1.9× 523 1.4× 576 3.5× 80 0.6× 121 2.7k

Countries citing papers authored by S. Paramasivam

Since Specialization
Citations

This map shows the geographic impact of S. 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 S. Paramasivam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Paramasivam more than expected).

Fields of papers citing papers by S. Paramasivam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. 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 S. Paramasivam. The network helps show where S. Paramasivam may publish in the future.

Co-authorship network of co-authors of S. Paramasivam

This figure shows the co-authorship network connecting the top 25 collaborators of S. Paramasivam. A scholar is included among the top collaborators of S. 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 S. Paramasivam. S. Paramasivam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Palanisamy, K., et al.. (2023). A comprehensive study of grid impedance and its reliability effects on variable frequency drive. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 14(2). 673–673. 1 indexed citations
3.
Palanisamy, K., et al.. (2022). Application of machine learning for inter turn fault detection in pumping system. Scientific Reports. 12(1). 12906–12906. 16 indexed citations
4.
Palanisamy, K., et al.. (2022). Dynamic Online Grid Impedance Estimation and Its Effects on DC Capacitor Lifetime in Variable Frequency Drive. IEEE Access. 10. 85243–85254. 1 indexed citations
5.
Paramasivam, S., et al.. (2021). Investigation on ANFIS aided MPPT Technique for PV fed ZSI Topologies in Standalone Applications. Journal of Applied Science and Engineering. 24(2). 261–269. 9 indexed citations
6.
Shankar, V.K. Arun, Umashankar Subramaniam, & S. Paramasivam. (2017). ANFIS-DTC based solar PV water pumping using synchronous reluctance motor. 1–6. 3 indexed citations
7.
Palanisamy, K., et al.. (2016). Power quality analysis on academic and hostel buildings of educational institute - part I. 932–941. 1 indexed citations
8.
Paramasivam, S., et al.. (2015). Bench Marking of Alternate Soft-charging Circuits for Variable-frequency Drives. Research Journal of Applied Sciences Engineering and Technology. 10(8). 871–881. 1 indexed citations
9.
Paramasivam, S., et al.. (2014). A Review of Various Converter Topologies for SRM Drives. SAE International journal of alternative powertrains. 3(1). 113–128. 2 indexed citations
10.
Paramasivam, S., et al.. (2014). Control of Z-Source Inverter Based PV System with MPPT Using ANFIS. International Review on Modelling and Simulations (IREMOS). 7(5). 797–797. 8 indexed citations
11.
Paramasivam, S., et al.. (2011). Non-Linear Inductance Modeling of Switched Reluctance Machine Using Multivariate Non-Linear Regression Technique and Adaptive Neuro Fuzzy Inference System. 3(6). 344–352. 2 indexed citations
12.
Paramasivam, S., et al.. (2011). Modeling of Hot Resistance for Switched Reluctance Machine Using Regression Techniques. Indian Journal Of Applied Research. 3(4). 65–67. 1 indexed citations
13.
Jeevananthan, S., et al.. (2010). A comparative performance evaluation of the conducted emissions in hard switched SPWM and HPWM inverters. International Journal of Power Electronics. 2(3). 267–267. 2 indexed citations
14.
Sivakumaran, N., et al.. (2009). Enhancement of Heat Exchanger Control Using Improved PID Controller. SHILAP Revista de lepidopterología. 1 indexed citations
15.
Kanagaraj, N., Rajesh Kumar, & S. Paramasivam. (2008). A ROBUST INTELLIGENT PID-TYPE FUZZY CONTROL STRUCTURE FOR PRESSURE CONTROL. Chemical Engineering Communications. 196(3). 291–304. 1 indexed citations
16.
Paramasivam, S., et al.. (2007). An Intelligent Self-Tuning PI Type Fuzzy Logic Controller for a Switched Reluctance Motor Drive. 6(2). 87–97. 6 indexed citations
17.
Paramasivam, S., et al.. (2007). Real time rate of change of pressure measurement and pressure control. Journal of Scientific & Industrial Research. 66(2). 120–123. 6 indexed citations
18.
Paramasivam, S., et al.. (2007). Real-Time Verification of AI Based Rotor Position Estimation Techniques for a 6/4 Pole Switched Reluctance Motor Drive. IEEE Transactions on Magnetics. 43(7). 3209–3222. 82 indexed citations
19.
Paramasivam, S., et al.. (2005). INGENIOUS DIGITAL SPEED CONTROLLER FOR SWITCHED RELUCTANCE MOTOR DRIVES. 4(2). 109–116. 1 indexed citations
20.
Paramasivam, S., et al.. (2004). Simulation of an ingenious digital controller for a 6/4 pole switched reluctance motor. International Power Electronics and Motion Control Conference. 2. 1054–1059. 2 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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