S. Chandrasekar

965 total citations
68 papers, 764 citations indexed

About

S. Chandrasekar is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Astronomy and Astrophysics. According to data from OpenAlex, S. Chandrasekar has authored 68 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Electrical and Electronic Engineering, 60 papers in Materials Chemistry and 17 papers in Astronomy and Astrophysics. Recurrent topics in S. Chandrasekar's work include High voltage insulation and dielectric phenomena (60 papers), Power Transformer Diagnostics and Insulation (55 papers) and Lightning and Electromagnetic Phenomena (17 papers). S. Chandrasekar is often cited by papers focused on High voltage insulation and dielectric phenomena (60 papers), Power Transformer Diagnostics and Insulation (55 papers) and Lightning and Electromagnetic Phenomena (17 papers). S. Chandrasekar collaborates with scholars based in India, United States and Italy. S. Chandrasekar's co-authors include Gian Carlo Montanari, Andrea Cavallini, R. Sarathi, G Montanari, F. Puletti, Noboru Yoshimura, Stojan Radic, Andrea Cavallini, M. G. Danikas and Periyayya Uthirakumar and has published in prestigious journals such as IEEE Transactions on Power Delivery, IEEE Photonics Technology Letters and Electric Power Systems Research.

In The Last Decade

S. Chandrasekar

63 papers receiving 638 citations

Peers

S. Chandrasekar

EEE

CSE

Rahisham Abd Rahman Malaysia

Isaías Ramírez-Vázquez Mexico

D. Birtwhistle Australia

J. Densley Canada

Refat Atef Ghunem Canada

M. A. M. Piah Malaysia

T.S. Ramu India

Belén García Spain

Chuyan Zhang China

Thierry Ditchi France

Rahisham Abd Rahman Malaysia

S. Chandrasekar

429 ×0.7

EEE

509 ×0.8

126 ×1.2

CSE

91 ×1.0

70 ×0.8

Citations per year, relative to S. Chandrasekar S. Chandrasekar (= 1×) peers Rahisham Abd Rahman

Countries citing papers authored by S. Chandrasekar

Since Specialization

Citations

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

Fields of papers citing papers by S. Chandrasekar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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20 of 20 papers shown

Balaji, S. & S. Chandrasekar. (2024). Impact of Harmonic Voltage on the Partial Discharge Properties of Eco-Friendly Nanofluid. Journal of Environmental Nanotechnology. 13(3). 305–310. 1 indexed citations

Balaji, S. & S. Chandrasekar. (2023). Influence of Harmonic Voltages on the PD Characteristics of Nano Modified Sunflower oil. 13. 1–4. 1 indexed citations

Chandrasekar, S., et al.. (2020). Developing eco-friendly nanostructured oil: Partial discharge and breakdown voltage characterization of transformer corn oil. IEEE Transactions on Dielectrics and Electrical Insulation. 27(5). 1611–1618. 21 indexed citations

Chandrasekar, S., et al.. (2018). PD Signal Time-Frequency Map and PRPD Pattern Analysis of Nano SiO 2 Modified Palm Oil for Transformer Insulation Applications. Journal of Electrical Engineering and Technology. 13(2). 902–910. 12 indexed citations

Chandrasekar, S., et al.. (2018). Investigations on Partial Discharge, Dielectric and Thermal Characteristics of Nano SiO 2 Modified Sunflower Oil for Power Transformer Applications. Journal of Electrical Engineering and Technology. 13(3). 1337–1345. 24 indexed citations

Chandrasekar, S., et al.. (2017). Analysis of Lightning Impulse Characteristics of Nano SiO₂ Modified Mineral Oil for Distribution Transformer Applications. Journal of Computational and Theoretical Nanoscience. 14(7). 3373–3381. 1 indexed citations

Chandrasekar, S., et al.. (2016). Analysis of Partial Discharge Signal Characteristics of Nano-Mineral Oil for Transformer Condition Monitoring Applications. Asian Journal of Research in Social Sciences and Humanities. 6(7). 341–341. 3 indexed citations

Chandrasekar, S., et al.. (2015). Aging Effect on Partial Discharge Characteristics of Olive Oil as an Alternative Liquid Insulating Medium. Research Journal of Applied Sciences Engineering and Technology. 9(9). 745–754. 1 indexed citations

Chandrasekar, S., et al.. (2015). Investigations of Accelerated Aged Polymeric Insulators Using Partial Discharge Signal Measurement and Analysis. Journal of Electrical Engineering and Technology. 10(1). 299–307. 12 indexed citations

10.

Chandrasekar, S., et al.. (2013). Analysis of Partial Discharge Characteristics of Olive and Castor Oil as Dielectric Medium for HV Applications. International Review of Electrical Engineering (IREE). 8(6). 1882–1889. 3 indexed citations

11.

Chandrasekar, S., et al.. (2013). Improvement of solid-state circuit breaker operation in commutation circuit. Australian Journal of Electrical & Electronics Engineering. 10(1). 1 indexed citations

12.

Chandrasekar, S., et al.. (2011). Adaptive neuro-fuzzy inference system for monitoring the surface condition of polymeric insulators using harmonic content. IET Generation Transmission & Distribution. 5(7). 751–759. 5 indexed citations

13.

Chandrasekar, S.. (2010). Wavelet Transform and Artificial Neural Network Approach to Infer the Surface Condition of Power Transmission Line Ceramic Insulators. 9(1). 59–66. 2 indexed citations

14.

Chandrasekar, S., et al.. (2010). Classification of remote sensed image using Rapid Genetic k-Means algorithm. 25. 677–682. 1 indexed citations

15.

Chandrasekar, S., et al.. (2010). Partial discharge detection as a tool to infer pollution severity of polymeric insulators. IEEE Transactions on Dielectrics and Electrical Insulation. 17(1). 181–188. 37 indexed citations

16.

Chandrasekar, S., et al.. (2008). Study on Pollution Severity of Porcelain Insulators Using LC and Phase Angle Measurement. 1–5. 1 indexed citations

17.

Chandrasekar, S., et al.. (2007). Neural Network Based Speed Control for 6/4 Switched Reluctance Motor. 27. 227–231. 10 indexed citations

18.

Cavallini, Andrea, G.C. Montanari, & S. Chandrasekar. (2007). Inference of PD pulse propagation in polymeric cables through computer simulation. 581–584. 2 indexed citations

19.

Sarathi, R., et al.. (2004). Condition monitoring of outdoor polymeric insulation structures using wavelets and neural networks. 398–401. 1 indexed citations

20.

Zhu, Benyuan, Lufeng Leng, L.E. Nelson, et al.. (2001). 3.08 Tb/s (77 × 42.7 Gb/s) Transmission over 1200 km of Non-zero Dispersion-Shifted Fiber with 100-km Spans using C- and L-Band Distributed Raman Amplification. Optical Fiber Communication Conference and International Conference on Quantum Information. PD23–PD23. 17 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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