K. Premkumar

1.0k citations
40 papers · 741 · h-index 16

Impact in

Papers in

K. Premkumar

36 papers receiving 680 citations

Peers

K. Premkumar
Comparison fields: 5 of 66
  • Control and Systems Engineering 361
  • Electrical and Electronic Engineering 478
  • Renewable Energy, Sustainability and the Environment 135
  • Automotive Engineering 89
  • Artificial Intelligence 230
Replace Abderrahmen Zaafouri with:
Abderrahmen Zaafouri Tunisia
B.V. Manikandan India
Ömer Aydoğdu Türkiye
N. Kanagaraj Saudi Arabia
Mohamed Mansouri Tunisia
Djamel Boukhetala Algeria
Med Faouzi Mimouni Tunisia
Anis Sellami Tunisia
Pankaj Swarnkar India
Safeer Ullah Pakistan
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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015100
2 201498
3 201591
4 201586
5 201765
6 201634
7 201929
8 202022
9 202122
10 201821
11 202020
12 202018
13 201516
14 201316
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 40 papers that have together received 741 indexed citations. Recurring topics across this work include Sensorless Control of Electric Motors (10 papers), Microgrid Control and Optimization (9 papers), Advanced Battery Technologies Research (8 papers), Advanced DC-DC Converters (8 papers), Multilevel Inverters and Converters (8 papers), Photovoltaic System Optimization Techniques (7 papers), Fuzzy Logic and Control Systems (6 papers) and Advanced Control Systems Design (6 papers). The work is most often cited by research in Control and Systems Engineering (361 citations), Electrical and Electronic Engineering (478 citations), Renewable Energy, Sustainability and the Environment (135 citations), Automotive Engineering (89 citations) and Artificial Intelligence (230 citations). K. Premkumar has collaborated with scholars based in India, Malaysia and Australia. Frequent co-authors include B.V. Manikandan, Sanjeevikumar Padmanaban, K. Yoganandam, Vigneshwaran Shanmugam, Oisik Das, A. Vasudevan, P. Sivakumar, Abbas Z. Kouzani, Thanikanti Sudhakar Babu and M. A. Parvez Mahmud. Their work appears in journals such as Neurocomputing, Solar Energy, Engineering Failure Analysis, Polymer Testing 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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