V. Garg

476 citations
18 papers · 399 · h-index 11

Impact in

Papers in

V. Garg

18 papers receiving 342 citations

Peers

V. Garg
Comparison fields: 5 of 25
  • Electrical and Electronic Engineering 383
  • Control and Systems Engineering 103
  • Automotive Engineering 24
  • Electronic, Optical and Magnetic Materials 17
  • Mechanical Engineering 32
Replace Kwanghee Nam with:
Kwanghee Nam South Korea
Keiju Matsui Japan
Jean-François Stumper Germany
M. Zordan Italy
Masaru Hasegawa Japan
M. Villablanca Chile
Piotr Chrzan Poland
Sedat Sünter Türkiye
M. Arpilliere United States
Thierry Meynard France
V. Garg relative to Kwanghee Nam South Korea Kwanghee Nam's profile →
Citations per field
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Kwanghee Nam · 1×
Citations per year

Countries citing papers authored by V. Garg

Since Specialization
Citations

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

Fields of papers citing papers by V. Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside V. Garg, 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 V. Garg Line = papers co-authored together V. Garg links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 200781
2 200665
3 200650
4 200643
5 200640
6 200834
7 200914
8 202313
9 200611
10 200610
11 200610
12 20069
13 20067
14 20066
15 20063
16 19701
17 20091
18 19771

About V. Garg

V. Garg is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Cognitive Neuroscience, Polymers and Plastics and Mechanical Engineering, having authored 18 papers that have together received 399 indexed citations. Recurring topics across this work include Multilevel Inverters and Converters (14 papers), Advanced DC-DC Converters (13 papers), Microgrid Control and Optimization (10 papers), Power Quality and Harmonics (3 papers), Silicon Carbide Semiconductor Technologies (3 papers), Transition Metal Oxide Nanomaterials (1 paper), Electric Motor Design and Analysis (1 paper) and Sensorless Control of Electric Motors (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (383 citations), Control and Systems Engineering (103 citations), Automotive Engineering (24 citations), Electronic, Optical and Magnetic Materials (17 citations) and Mechanical Engineering (32 citations). V. Garg has collaborated with scholars based in India, Canada and United States. Frequent co-authors include Bhim Singh, G. Bhuvaneswari, Sumeet Gairola, Ambrish Chandra, Vishal Verma, N.A. Demerdash, A.B. Bhattacharyya, L.L. Grigsby and Maneesha Gupta. Their work appears in journals such as IEEE Transactions on Energy Conversion, IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Delivery, IET Power Electronics and Microelectronics Reliability.

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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