K. Geetha

65 papers receiving 395 citations

Peers

K. Geetha
Comparison fields: 5 of 83
  • Acoustics and Ultrasonics 10
  • Electrical and Electronic Engineering 175
  • Physical and Theoretical Chemistry 22
  • Artificial Intelligence 78
  • Water Science and Technology 32
Replace Siguang Chen with:
Siguang Chen China
Qilin Liu China
R Saravanakumar India
S. Radhika India
Poonam Singh India
Neha Jain India
S. Kalaivani India
V. Santhi India
Rohit Bajaj India
K. Geetha relative to Siguang Chen China Siguang Chen's profile →
Citations per field
00.5×
Siguang Chen · 1×
Citations per year

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 200430
2 201621
3 201320
4 200619
5 201518
6 201815
7 200015
8 202014
9 201214
10 202213
11 200613
12 201713
13 200711
14 202011
15 200811
16 201410
17 20029
18 20179
19
An Empirical Model for Thyroid Disease Classification using Evolutionary Multivariate Bayseian Prediction Method
20169
20 20099

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 433 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), MRI in cancer diagnosis (5 papers), Semiconductor Lasers and Optical Devices (5 papers), Microgrid Control and Optimization (5 papers), Minerals Flotation and Separation Techniques (4 papers) and IoT-based Smart Home Systems (4 papers). The work is most often cited by research in Acoustics and Ultrasonics (10 citations), Electrical and Electronic Engineering (175 citations), Physical and Theoretical Chemistry (22 citations), Artificial Intelligence (78 citations) and Water Science and Technology (32 citations). K. Geetha has collaborated with scholars based in India, Nepal and United States. Frequent co-authors include P. Radhakrishnan, C. P. G. Vallabhan, G. D. Surender, M. Rajesh, V. P. N. Nampoori, V. P. N. Nampoori, B. Sangeetha, S. Santhosh Baboo, K. Muthukumar and N. Ammasai Gounden. Their work appears in journals such as Indian Journal of Science and Technology, Hydrometallurgy, International Journal of Electrical Power & Energy Systems, Sustainability and Optical 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.

Explore authors with similar magnitude of impact