K. Geetha

63 papers receiving 379 citations

Peers

K. Geetha
Comparison fields: 5 of 82
  • Acoustics and Ultrasonics 10
  • Electrical and Electronic Engineering 171
  • Artificial Intelligence 81
  • Physical and Theoretical Chemistry 22
  • Water Science and Technology 32
Replace Qilin Liu with:
Qilin Liu China
Siguang Chen China
N. C. Shivaprakash India
R Saravanakumar India
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Countries citing papers authored by K. Geetha

Since Specialization
Citations

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

Fields of papers citing papers by K. Geetha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200429
2 201621
3 201320
4 200619
5 201518
6 200015
7 201214
8 201814
9 202014
10 202213
11 200613
12 201712
13 200811
14 200711
15 202011
16 201410
17 20029
18 20099
19 20179
20
An Empirical Model for Thyroid Disease Classification using Evolutionary Multivariate Bayseian Prediction Method
20169

About K. Geetha

K. Geetha is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering and Radiology, Nuclear Medicine and Imaging, having authored 75 papers that have together received 421 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Energy Efficient Wireless Sensor Networks (6 papers), Multilevel Inverters and Converters (6 papers), Microgrid Control and Optimization (5 papers), Semiconductor Lasers and Optical Devices (5 papers), MRI in cancer diagnosis (5 papers), IoT-based Smart Home Systems (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Acoustics and Ultrasonics (10 citations), Electrical and Electronic Engineering (171 citations), Artificial Intelligence (81 citations), Physical and Theoretical Chemistry (22 citations) and Water Science and Technology (32 citations). K. Geetha has collaborated with scholars based in India, Nepal and South Korea. Frequent co-authors include G. D. Surender, P. Radhakrishnan, C. P. G. Vallabhan, M. Rajesh, V. P. N. Nampoori, B. Sangeetha, V. P. N. Nampoori, S. Santhosh Baboo, N. Ramasubramanian and Satyanarayana Vollala. Their work appears in journals such as Hydrometallurgy, Indian Journal of Science and Technology, International Journal of Electrical Power & Energy Systems, ECS Journal of Solid State Science and Technology and Applied Biochemistry and Biotechnology.

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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