K. Meenakshi
- Signal Processing top 10%
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- Artificial Intelligence in Healthcare 6
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- Face recognition and analysis 4
- Language and Linguistics top 10%
- EFL/ESL Teaching and Learning 7
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- IoT-based Smart Home Systems 7
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- Adversarial Robustness in Machine Learning 5
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- Emotional Intelligence and Performance 5
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- Second Language Learning and Teaching 4
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- Second Language Acquisition and Learning 4
K. Meenakshi
70 papers receiving 565 citations
Peers
Comparison fields: 5 of 123
- Signal Processing 91
- Health Information Management 32
- Computer Vision and Pattern Recognition 122
- Health Informatics 8
- Language and Linguistics 55
Countries citing papers authored by K. Meenakshi
This map shows the geographic impact of K. Meenakshi'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. Meenakshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Meenakshi more than expected).
Fields of papers citing papers by K. Meenakshi
This network shows the impact of papers produced by K. Meenakshi. 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. Meenakshi. The network helps show where K. Meenakshi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside K. Meenakshi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2020 | 1 | |
| 8 | 2020 | 1 | |
| 9 | 2019 | 28 | |
| 10 | 2017 | 4 | |
| 11 | 2016 | 37 | |
| 12 | Teaching of english through technology: some perspectives | 2015 | 3 |
| 13 | 2013 | 2 | |
| 14 | 2012 | 8 | |
| 15 | 2012 | 42 | |
| 16 | A Query Independent Method for Magic Set Computation on Stratified Databases. | 1988 | 7 |
| 17 | 1982 | 1 | |
| 18 | Response of CSH 1 and CO 18 sorghums to different fertilizers in Coimbatore district. | 1970 | 1 |
| 19 | 1958 | 1 | |
| 20 | 1958 | 2 |
About K. Meenakshi
K. Meenakshi is a scholar working on Health Information Management, Signal Processing and Computer Vision and Pattern Recognition, having authored 86 papers that have together received 668 indexed citations. Recurring topics across this work include EFL/ESL Teaching and Learning (7 papers), IoT-based Smart Home Systems (7 papers), Artificial Intelligence in Healthcare (6 papers), Adversarial Robustness in Machine Learning (5 papers), Emotional Intelligence and Performance (5 papers), Face recognition and analysis (4 papers), Second Language Learning and Teaching (4 papers) and Second Language Acquisition and Learning (4 papers). The work is most often cited by research in Signal Processing (91 citations), Health Information Management (32 citations) and Computer Vision and Pattern Recognition (122 citations). K. Meenakshi has collaborated with scholars based in India, United States and Ethiopia. Frequent co-authors include G. Maragatham, Padmavathi Kora, K. Swaraja, G. Geetha, G. Saranya, M. Nithya, Kotagiri Ramamohanarao, Ajith Abraham, N. Krishnaswamy and Md. Kafiul Islam. Their work appears in journals such as IEEE Access, Future Generation Computer Systems and Biomedical Signal Processing and Control.
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.