S. Usha

428 citations
52 papers · 255 · h-index 8

Impact in

Papers in

S. Usha

40 papers receiving 235 citations

Peers

S. Usha
Comparison fields: 5 of 57
  • Fluid Flow and Transfer Processes 30
  • Computer Networks and Communications 65
  • Computational Mechanics 56
  • Biomedical Engineering 75
  • Electrical and Electronic Engineering 81
Replace Donghoon Yoo with:
Donghoon Yoo South Korea
Zejun Jiang China
Sung-Wook Park South Korea
Mark K. Krage United States
Kenji Okada Japan
Cheng Qian China
Celal Batur United States
Majid Ashouri Iran
Eugene Kim United States
Jaewon Kim South Korea
S. Usha relative to Donghoon Yoo South Korea Donghoon Yoo's profile →
Citations per field
00.5×5.4×
Donghoon Yoo · 1×
Citations per year

Countries citing papers authored by S. Usha

Since Specialization
Citations

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

Fields of papers citing papers by S. Usha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199770
2 202322
3 200517
4 201912
5 202112
6 200911
7 202210
8 20207
9 20156
10 20176
11 20196
12 20245
13 20205
14 20115
15 20105
16 20234
17 19864
18 20174
19 20124
20
E-Eyanthra Perspiration based drunken driving prevention system
20103

About S. Usha

S. Usha is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Control and Systems Engineering, Information Systems and Computer Vision and Pattern Recognition, having authored 52 papers that have together received 255 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (7 papers), Mobile Ad Hoc Networks (5 papers), Energy Harvesting in Wireless Networks (4 papers), Smart Grid Energy Management (4 papers), Advanced Battery Technologies Research (3 papers), Cooperative Communication and Network Coding (3 papers), Low-power high-performance VLSI design (3 papers) and IoT-based Smart Home Systems (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (30 citations), Computer Networks and Communications (65 citations), Computational Mechanics (56 citations), Biomedical Engineering (75 citations) and Electrical and Electronic Engineering (81 citations). S. Usha has collaborated with scholars based in India, Malaysia and Saudi Arabia. Frequent co-authors include A. Ramachandra Rao, S. Radha, S.A. Khaparde, Anjan Kumar Roy, A. R. Abhyankar, R. Uma, P. T. V. Bhuvaneswari, Neha Singhal, Pethuru Raj and P. Kuppusamy. Their work appears in journals such as Alexandria Engineering Journal, Indian Journal of Science and Technology, Annals of Nuclear Energy, International Journal of Hydrogen Energy and Wireless Personal Communications.

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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