Madhav Kumar

23 papers receiving 396 citations

Peers

Madhav Kumar
Comparison fields: 5 of 34
  • Automotive Engineering 144
  • Renewable Energy, Sustainability and the Environment 159
  • Energy Engineering and Power Technology 26
  • Electrical and Electronic Engineering 332
  • Control and Systems Engineering 89
Replace Do-Hyun Kim with:
Do-Hyun Kim South Korea
M R Sindhu India
Sheik Mohammed Sulthan Brunei
Chiranjit Sain India
Pallavi Bharadwaj India
Hwa‐Dong Liu Taiwan
César Leonardo Trujillo Rodríguez Colombia
M. Murali India
Peter Braciník Slovakia
Ruben Barros Godoy Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Madhav Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Madhav Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Madhav Kumar, 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 Madhav Kumar Line = papers co-authored together Madhav Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2023137
2 2023118
3 201933
4 201921
5 202217
6 201216
7 202312
8 202412
9 201210
10 20198
11 20105
12 20244
13 20234
14 20244
15 20083
16 20173
17 20232
18 20232
19 20112
20
Optimal Location and Rating of Thyristor Controlled Series Capacitor for Enhancement of Voltage Stability using Fast Voltage Stability Index (FVSI) Approach
20122

About Madhav Kumar

Madhav Kumar is a scholar working on Renewable Energy, Sustainability and the Environment, Automotive Engineering, Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence, having authored 29 papers that have together received 418 indexed citations. Recurring topics across this work include Photovoltaic System Optimization Techniques (10 papers), Advanced Battery Technologies Research (6 papers), Solar Radiation and Photovoltaics (5 papers), Advanced DC-DC Converters (4 papers), Multilevel Inverters and Converters (4 papers), Optimal Power Flow Distribution (4 papers), Microgrid Control and Optimization (4 papers) and solar cell performance optimization (4 papers). The work is most often cited by research in Automotive Engineering (144 citations), Renewable Energy, Sustainability and the Environment (159 citations), Energy Engineering and Power Technology (26 citations), Electrical and Electronic Engineering (332 citations) and Control and Systems Engineering (89 citations). Madhav Kumar has collaborated with scholars based in India, Singapore and United States. Frequent co-authors include Gayadhar Panda, Kaibalya Prasad Panda, Ritula Thakur, Ramasamy Thaiyal Naayagi, Julio C. Rosas‐Caro, Antonio Valderrábano‐González, P. S. Manoharan, Natarajan Kumaresan, Krishnan Mahadevan and Rajeswari Ramachandran. Their work appears in journals such as Applied Sciences, Electronics, Clean Technologies and Environmental Policy, IEEE Access and Sensors.

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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