K. Gayathri

537 citations
51 papers · 298 indexed · h-index 10

K. Gayathri

44 papers receiving 280 citations

Peers

K. Gayathri
Comparison fields: 5 of 66
  • Computer Vision and Pattern Recognition 160
  • Computer Networks and Communications 69
  • Health Information Management 14
  • Signal Processing 30
  • Artificial Intelligence 79
Replace Dong‐oh Kang with:
Dong‐oh Kang South Korea
Belkacem Fergani Algeria
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Citations per year

Countries citing papers authored by K. Gayathri

Since Specialization
Citations

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

Fields of papers citing papers by K. Gayathri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 15 scholars most cited alongside K. Gayathri, 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. Gayathri Line = papers co-authored together K. Gayathri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20242
5 20231
6 20231
7 20232
8 20211
9 20212
10
Disintegration of Indigenous Culture of Africa in Things Fall Apart by Chinua Achebe
20201
11 20202
12 20204
13 20191
14 20191
15 201756
16 20161
17 20156
18
An Unsupervised Pattern Clustering Approach for An Unsupervised Pattern Clustering Approach for An Unsupervised Pattern Clustering Approach for An Unsupervised Pattern Clustering Approach for Identifying Abnormal User Behaviors in Smart Homes Identifying Abnormal User Behaviors in Smart Homes Identifying Abnormal User Behaviors in Smart Homes Identifying Abnormal User Behaviors in Smart Homes
201310
19 20111
20
An apt method for fault identification and classification on EHV lines using discrete wavelet transform
20076

About K. Gayathri

K. Gayathri is a scholar working on Computer Vision and Pattern Recognition, Health Information Management and Electrical and Electronic Engineering, having authored 51 papers that have together received 298 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (9 papers), IoT and Edge/Fog Computing (6 papers), IoT-based Smart Home Systems (6 papers), Power Systems Fault Detection (5 papers), Image and Signal Denoising Methods (4 papers), HVDC Systems and Fault Protection (4 papers), Islanding Detection in Power Systems (4 papers) and Spam and Phishing Detection (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (160 citations), Computer Networks and Communications (69 citations) and Health Information Management (14 citations). K. Gayathri has collaborated with scholars based in India, United States and Sweden. Frequent co-authors include Susan Elias, K. S. Easwarakumar, N. Kumarappan, Balaraman Ravindran, R. Ramanathan, S. Shivashankar, P. Rajesh Kanna, S. Sivaranjani, V. Vaidehi and Kiran Raja. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Knowledge-Based Systems.

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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