Deepak Gangwar

811 citations
38 papers · 621 · h-index 13

Impact in

Papers in

Deepak Gangwar

38 papers receiving 597 citations

Peers

Deepak Gangwar
Comparison fields: 5 of 57
  • Aerospace Engineering 437
  • Electronic, Optical and Magnetic Materials 110
  • Computer Vision and Pattern Recognition 107
  • Electrical and Electronic Engineering 281
  • Biomedical Engineering 114
Replace Mohd Fais Mansor with:
Mohd Fais Mansor Malaysia
Madan Kumar Sharma India
Hyok J. Song United States
Sindhu Hak Gupta India
Chiya Zhang China
N. Venkateswaran India
Jun-Yong Lee South Korea
Hao Liu China
Akihito Ogawa Japan
Deepak Gangwar relative to Mohd Fais Mansor Malaysia Mohd Fais Mansor's profile →
Citations per field
00.5×1.5×2.3×
Mohd Fais Mansor · 1×
Citations per year

Countries citing papers authored by Deepak Gangwar

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Gangwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Deepak Gangwar, 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 Deepak Gangwar Line = papers co-authored together Deepak Gangwar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020150
2 201879
3 202041
4 202031
5 201929
6 201826
7 201824
8 201923
9 202120
10 201918
11 201618
12 202117
13 201916
14 201912
15 201412
16 201712
17 20239
18 20209
19 20148
20 20178

About Deepak Gangwar

Deepak Gangwar is a scholar working on Aerospace Engineering, Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering, Biomedical Engineering and Strategy and Management, having authored 38 papers that have together received 621 indexed citations. Recurring topics across this work include Antenna Design and Analysis (35 papers), Advanced Antenna and Metasurface Technologies (29 papers), Metamaterials and Metasurfaces Applications (16 papers), Microwave Engineering and Waveguides (9 papers), Wireless Body Area Networks (5 papers), Energy Harvesting in Wireless Networks (5 papers), Antenna Design and Optimization (4 papers) and Context-Aware Activity Recognition Systems (1 paper). The work is most often cited by research in Aerospace Engineering (437 citations), Electronic, Optical and Magnetic Materials (110 citations), Computer Vision and Pattern Recognition (107 citations), Electrical and Electronic Engineering (281 citations) and Biomedical Engineering (114 citations). Deepak Gangwar has collaborated with scholars based in India, Italy and South Korea. Frequent co-authors include Binod Kumar Kanaujia, A. Lay-Ekuakille, Satya P. Singh, Madan Kumar Sharma, Ankit Sharma, Sukrit Gupta, A. K. Gautam, Santanu Dwari, Sachin Kumar and Sushrut Das. Their work appears in journals such as Wireless Personal Communications, IEEE Sensors Journal, Journal of Electromagnetic Waves and Applications, IET Microwaves Antennas & Propagation and IEEE Transactions on Instrumentation and Measurement.

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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