K. Premkumar

1.0k citations
42 papers · 778 · h-index 16

Impact in

Papers in

K. Premkumar

38 papers receiving 716 citations

Peers

K. Premkumar
Comparison fields: 5 of 68
  • Control and Systems Engineering 375
  • Renewable Energy, Sustainability and the Environment 143
  • Electrical and Electronic Engineering 503
  • Automotive Engineering 93
  • Artificial Intelligence 241
Replace Abderrahmen Zaafouri with:
Abderrahmen Zaafouri Tunisia
Sami Kahla Algeria
B.V. Manikandan India
Ömer Aydoğdu Türkiye
Mohamed Mansouri Tunisia
Djamel Boukhetala Algeria
Med Faouzi Mimouni Tunisia
Safeer Ullah Pakistan
Pankaj Swarnkar India
Ammar A. Aldair Iraq
K. Premkumar relative to Abderrahmen Zaafouri Tunisia Abderrahmen Zaafouri's profile →
Citations per field
00.5×3.3×
Abderrahmen Zaafouri · 1×
Citations per year

Countries citing papers authored by K. Premkumar

Since Specialization
Citations

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

Fields of papers citing papers by K. Premkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014102
2 2015101
3 201596
4 201592
5 201769
6 201637
7 201930
8 202023
9 202123
10 202021
11 201821
12 202019
13 201317
14 201516
15 201915
16 202315
17 201810
18 20198
19 20216
20 20206

About K. Premkumar

K. Premkumar is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Automotive Engineering and Renewable Energy, Sustainability and the Environment, having authored 42 papers that have together received 778 indexed citations. Recurring topics across this work include Sensorless Control of Electric Motors (11 papers), Microgrid Control and Optimization (10 papers), Advanced Battery Technologies Research (9 papers), Advanced DC-DC Converters (8 papers), Multilevel Inverters and Converters (8 papers), Photovoltaic System Optimization Techniques (8 papers), Fuzzy Logic and Control Systems (7 papers) and Advanced Control Systems Design (6 papers). The work is most often cited by research in Control and Systems Engineering (375 citations), Renewable Energy, Sustainability and the Environment (143 citations), Electrical and Electronic Engineering (503 citations), Automotive Engineering (93 citations) and Artificial Intelligence (241 citations). K. Premkumar has collaborated with scholars based in India, Malaysia and Australia. Frequent co-authors include B.V. Manikandan, Sanjeevikumar Padmanaban, Thanikanti Sudhakar Babu, Oisik Das, Md. Rabiul Islam, K. Yoganandam, Abbas Z. Kouzani, A. Vasudevan, Vigneshwaran Shanmugam and M. A. Parvez Mahmud. Their work appears in journals such as Solar Energy, Neurocomputing, Solid State Technology, Environmental Progress & Sustainable Energy and IET Power Electronics.

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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