S. Chandrasekar
- Electrical and Electronic Engineering top 10%
- Materials Chemistry top 10%
- Control and Systems Engineering top 10%
- Biomedical Engineering
- Astronomy and Astrophysics top 10%
- Co-authors
- Gian Carlo MontanariAndrea CavalliniR. SarathiG MontanariF. PulettiNoboru YoshimuraStojan RadicM. G. Danikas
- Topics
- High voltage insulation and dielectric phenomena (60 papers)Power Transformer Diagnostics and Insulation (55 papers)Lightning and Electromagnetic Phenomena (17 papers)
- Journals
- IEEE Transactions on Power DeliveryIEEE Photonics Technology LettersElectric Power Systems Research
- Partner nations
- IndiaUnited StatesItaly
In The Last Decade
S. Chandrasekar
63 papers receiving 638 citations
Peers
Comparison fields: 5 of 57
- Electrical and Electronic Engineering 619
- Materials Chemistry 599
- Control and Systems Engineering 108
- Biomedical Engineering 95
- Astronomy and Astrophysics 93
Countries citing papers authored by S. Chandrasekar
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 21 | |
| 4 | 12 | |
| 5 | 24 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | Wavelet Transform and Artificial Neural Network Approach to Infer the Surface Condition of Power Transmission Line Ceramic Insulators | 2 |
| 14 | 1 | |
| 15 | 37 | |
| 16 | 1 | |
| 17 | 10 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 17 |
About S. Chandrasekar
S. Chandrasekar is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Acoustics and Ultrasonics, having authored 68 papers that have together received 764 indexed citations. Recurring topics across this work include High voltage insulation and dielectric phenomena (60 papers), Power Transformer Diagnostics and Insulation (55 papers) and Lightning and Electromagnetic Phenomena (17 papers). The work is most often cited by research in Materials Chemistry (599 citations), Electrical and Electronic Engineering (619 citations) and Astronomy and Astrophysics (93 citations). S. Chandrasekar has collaborated with scholars based in India, United States and Italy. Frequent 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. Their work appears in journals such as IEEE Transactions on Power Delivery, IEEE Photonics Technology Letters and Electric Power Systems Research.
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.