Ashwni Kumar

66 papers receiving 316 citations

Peers

Ashwni Kumar
Comparison fields: 5 of 37
  • Signal Processing 61
  • Aerospace Engineering 46
  • Electrical and Electronic Engineering 100
  • Artificial Intelligence 39
  • Biomedical Engineering 40
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Xinyu Tong China
Sorawat Chivapreecha Thailand
Mohamed I. AlHajri United Arab Emirates
Moon‐Sik Lee South Korea
Huthaifa Obeidat United Kingdom
Jiexiao Yu China
Qingyang Zhou China
Chunhui Duan China
Yunye Jin Singapore
A. A. Gorji Canada
Ashwni Kumar relative to Xinyu Tong China Xinyu Tong's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ashwni Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Ashwni Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Ashwni 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 Ashwni Kumar Line = papers co-authored together Ashwni Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202047
2 201917
3 201714
4 202413
5 201311
6 201911
7 202211
8 202411
9 201510
10 202210
11 20208
12 20228
13 20248
14 20248
15 20217
16 20227
17 20237
18 20206
19 20216
20 20185

About Ashwni Kumar

Ashwni Kumar is a scholar working on Aerospace Engineering, Signal Processing, Electrical and Electronic Engineering, Biomedical Engineering and Artificial Intelligence, having authored 85 papers that have together received 333 indexed citations. Recurring topics across this work include Antenna Design and Analysis (19 papers), Analog and Mixed-Signal Circuit Design (11 papers), Low-power high-performance VLSI design (11 papers), Digital Filter Design and Implementation (8 papers), Optical Wireless Communication Technologies (8 papers), Radio Frequency Integrated Circuit Design (6 papers), Smart Agriculture and AI (4 papers) and Cognitive Radio Networks and Spectrum Sensing (4 papers). The work is most often cited by research in Signal Processing (61 citations), Aerospace Engineering (46 citations), Electrical and Electronic Engineering (100 citations), Artificial Intelligence (39 citations) and Biomedical Engineering (40 citations). Ashwni Kumar has collaborated with scholars based in India. Frequent co-authors include Manjeet Kumar, Richa Yadav, Vandana Niranjan, Ankur Bansal, Manish Sharma, Suman Yadav, Vandana Nath, Richa Srivastava, Amita Dev and Sheetal Sheetal. Their work appears in journals such as Wireless Networks, Multimedia Tools and Applications, Analog Integrated Circuits and Signal Processing, Photonic Network Communications and Arabian Journal for Science and Engineering.

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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