R. Revathi

401 citations
52 papers · 130 indexed · h-index 6

R. Revathi

39 papers receiving 115 citations

Peers

R. Revathi
Comparison fields: 5 of 58
  • Health Information Management 9
  • Computer Vision and Pattern Recognition 30
  • Control and Systems Engineering 24
  • Artificial Intelligence 23
  • Media Technology 6
Replace Arun Radhakrishnan with:
Arun Radhakrishnan Ethiopia
M. Nalini India
Quentin Duval France
Rituraj Jain India
T A Mohanaprakash India
Aymen Dawood Salman Iraq
Michael D. Muhlbaier United States
Thierry Grandpierre France
Jiangpeng He United States
Нішант Гаур India
R. Revathi relative to Arun Radhakrishnan Ethiopia Arun Radhakrishnan's profile →
Citations per field
00.5×
Arun Radhakrishnan · 1×
Citations per year

Countries citing papers authored by R. Revathi

Since Specialization
Citations

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

Fields of papers citing papers by R. Revathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
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16 20191
17
EXPERIMENTAL ANALYSIS OF COMMERCIAL VERTICAL AXIS WIND TURBINE
20191
18
Speech Processing Of Tamil Language With BackPropagation Neural Network And Semi-Supervised Traning
20140
19
Modeling and Control of Liquid Level Non-linearInteracting and Non-interacting System
20144
20
Video Surveillance Systems – A Survey
201413

About R. Revathi

R. Revathi is a scholar working on Computer Vision and Pattern Recognition, Health Information Management, Human-Computer Interaction, Control and Systems Engineering and Computer Graphics and Computer-Aided Design, having authored 52 papers that have together received 130 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (5 papers), Photovoltaic System Optimization Techniques (4 papers), Microgrid Control and Optimization (4 papers), Blockchain Technology Applications and Security (3 papers), Smart Grid Energy Management (3 papers), Chaos-based Image/Signal Encryption (3 papers), Internet of Things and AI (3 papers) and Advanced Vision and Imaging (3 papers). The work is most often cited by research in Health Information Management (9 citations), Computer Vision and Pattern Recognition (30 citations), Control and Systems Engineering (24 citations), Artificial Intelligence (23 citations) and Media Technology (6 citations). R. Revathi has collaborated with scholars based in India, Iraq and Jordan. Frequent co-authors include M. Hemalatha, Karthikeyan Rajagopal, V. Kumar Chinnaiyan, Kamal Sharma, Sampath Boopathi, Syed Inthiyaz, R. Krishnamoorthy, N. Senthilnathan, C R Komala and M. Amina Begum. Their work appears in journals such as Scientific Reports, Asian Journal of Pharmaceutical and Clinical Research, IETE Journal of Research, SHILAP Revista de lepidopterología and Journal of Physics Conference Series.

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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