K. C. Ramya

36 papers receiving 532 citations

Peers

K. C. Ramya
Comparison fields: 5 of 76
  • Information Systems 149
  • Computer Networks and Communications 139
  • Artificial Intelligence 135
  • Electrical and Electronic Engineering 229
  • Energy Engineering and Power Technology 11
Replace Can Liu with:
Can Liu China
Yue Xu China
Dalia H. Elkamchouchi Saudi Arabia
Hani Attar Jordan
Hao Tian China
Guopeng Zhao China
Ramya Kuppusamy India
G. P. Ramesh India
K. Duraiswamy India
Nadim Rana Saudi Arabia
K. C. Ramya relative to Can Liu China Can Liu's profile →
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Citations per year

Countries citing papers authored by K. C. Ramya

Since Specialization
Citations

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

Fields of papers citing papers by K. C. Ramya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. C. Ramya. 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 K. C. Ramya. The network helps show where K. C. Ramya may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019152
2 202293
3 201969
4 201936
5 202030
6 202023
7 202218
8 202217
9 202216
10 201916
11 201412
12 201612
13 202011
14 201810
15 20229
16 20198
17 20157
18 20184
19 20234
20 20213

About K. C. Ramya

K. C. Ramya is a scholar working on Electrical and Electronic Engineering, Automotive Engineering, Artificial Intelligence, Renewable Energy, Sustainability and the Environment and Control and Systems Engineering, having authored 45 papers that have together received 573 indexed citations. Recurring topics across this work include Advanced DC-DC Converters (10 papers), Advanced Battery Technologies Research (9 papers), Multilevel Inverters and Converters (7 papers), Photovoltaic System Optimization Techniques (5 papers), Smart Agriculture and AI (4 papers), Photonic Crystal and Fiber Optics (3 papers), Microgrid Control and Optimization (3 papers) and Digital Imaging for Blood Diseases (3 papers). The work is most often cited by research in Information Systems (149 citations), Computer Networks and Communications (139 citations), Artificial Intelligence (135 citations), Electrical and Electronic Engineering (229 citations) and Energy Engineering and Power Technology (11 citations). K. C. Ramya has collaborated with scholars based in India, United States and Vietnam. Frequent co-authors include Deepak Gupta, S. K. Lakshmanaprabu, S. Sheeba Rani, K. Shankar, Sachi Nandan Mohanty, Ashish Khanna, K. Vinoth Kumar, Kishore Balasubramanian, R. Sitharthan and B. Sangeetha. Their work appears in journals such as Soft Computing, Physica B Condensed Matter, Current Applied Physics, Journal of Intelligent & Fuzzy Systems and Journal of Materials Science Materials in Electronics.

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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