C.V. Nayar

2.8k citations
121 papers · 2.1k · h-index 23

Impact in

Papers in

C.V. Nayar

116 papers receiving 1.9k citations

Peers

C.V. Nayar
Comparison fields: 5 of 63
  • Energy Engineering and Power Technology 652
  • Control and Systems Engineering 1.1k
  • Pollution 332
  • Electrical and Electronic Engineering 1.6k
  • Automotive Engineering 308
Replace Sushma Gupta with:
Sushma Gupta India
A.I. Alolah Saudi Arabia
M.H. Haque Australia
Mohsen Kalantar Iran
Xavier Roboam France
Ahmed M. A. Haidar Malaysia
Shimaa Barakat Egypt
Chad Abbey Canada
Mourad Haddadi Algeria
Mohamed Faouzi Mimouni Tunisia
C.V. Nayar relative to Sushma Gupta India Sushma Gupta's profile →
Citations per field
00.5×3.9×
Sushma Gupta · 1×
Citations per year

Countries citing papers authored by C.V. Nayar

Since Specialization
Citations

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

Fields of papers citing papers by C.V. Nayar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.V. Nayar. 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 C.V. Nayar. The network helps show where C.V. Nayar may publish in the future.

Co-authors

The 25 scholars most cited alongside C.V. Nayar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C.V. Nayar Line = papers co-authored together C.V. Nayar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999173
2 2000149
3 2006148
4 2002117
5 2008113
6 1993106
7 200070
8 200853
9 199550
10 199748
11 200042
12 201236
13 200234
14 200133
15 198731
16 200227
17 200826
18 201026
19 199526
20 200324

About C.V. Nayar

C.V. Nayar is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Energy Engineering and Power Technology, Renewable Energy, Sustainability and the Environment and Automotive Engineering, having authored 121 papers that have together received 2.1k indexed citations. Recurring topics across this work include Microgrid Control and Optimization (53 papers), Hybrid Renewable Energy Systems (28 papers), Multilevel Inverters and Converters (27 papers), Wind Turbine Control Systems (20 papers), Advanced DC-DC Converters (20 papers), Photovoltaic System Optimization Techniques (19 papers), Electric Motor Design and Analysis (19 papers) and Advanced Battery Technologies Research (17 papers). The work is most often cited by research in Energy Engineering and Power Technology (652 citations), Control and Systems Engineering (1.1k citations), Pollution (332 citations), Electrical and Electronic Engineering (1.6k citations) and Automotive Engineering (308 citations). C.V. Nayar has collaborated with scholars based in Australia, United States and Indonesia. Frequent co-authors include Mochamad Ashari, L.J. Borle, H. Dehbonei, Longya Xu, Vassilios G. Agelidis, Seung Hwan Ko, W.W.L. Keerthipala, Yu Zhao, W.B. Lawrance and S.M. Phillips. Their work appears in journals such as Renewable Energy, IEEE Transactions on Energy Conversion, International Journal of Electrical Power & Energy Systems, Solar Energy and Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy.

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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