A. Revathi

471 total citations
53 papers, 276 citations indexed

About

A. Revathi is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, A. Revathi has authored 53 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Signal Processing, 31 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in A. Revathi's work include Speech and Audio Processing (29 papers), Speech Recognition and Synthesis (27 papers) and Music and Audio Processing (9 papers). A. Revathi is often cited by papers focused on Speech and Audio Processing (29 papers), Speech Recognition and Synthesis (27 papers) and Music and Audio Processing (9 papers). A. Revathi collaborates with scholars based in India, Chile and Lebanon. A. Revathi's co-authors include N. Sasikaladevi, V. Krishnamurthi, K. Geetha, Prąsun Chakrabarti, Tulika Chakrabarti, Martin Margala, S. Pradeepa, B. Santhi, K. Thenmozhi and Gaurav Dhiman and has published in prestigious journals such as Scientific Reports, Renewable Energy and Neural Computing and Applications.

In The Last Decade

A. Revathi

47 papers receiving 240 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
A. Revathi India 9 181 133 70 26 21 53 276
Alejandro Gomez-Alanis Spain 8 213 1.2× 195 1.5× 50 0.7× 24 0.9× 9 0.4× 13 278
Etienne Marcheret United States 8 208 1.1× 150 1.1× 106 1.5× 25 1.0× 20 1.0× 28 304
Lars Maaløe Denmark 8 121 0.7× 281 2.1× 103 1.5× 16 0.6× 10 0.5× 18 389
Anurag Chowdhury United States 8 154 0.9× 97 0.7× 109 1.6× 8 0.3× 10 0.5× 13 271
Hannah Muckenhirn Switzerland 8 416 2.3× 405 3.0× 36 0.5× 18 0.7× 14 0.7× 11 487
Anderson R. Avila Canada 8 150 0.8× 136 1.0× 31 0.4× 31 1.2× 5 0.2× 25 272
Darryl Stewart United Kingdom 11 195 1.1× 117 0.9× 105 1.5× 21 0.8× 18 0.9× 35 316
Andrew Morris Switzerland 10 250 1.4× 284 2.1× 54 0.8× 18 0.7× 8 0.4× 25 384
Zhongxin Bai China 6 219 1.2× 254 1.9× 39 0.6× 8 0.3× 17 0.8× 10 320
Khawar Mehmood Pakistan 5 65 0.4× 225 1.7× 35 0.5× 10 0.4× 14 0.7× 8 294

Countries citing papers authored by A. Revathi

Since Specialization
Citations

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

Fields of papers citing papers by A. Revathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Revathi

This figure shows the co-authorship network connecting the top 25 collaborators of A. Revathi. A scholar is included among the top collaborators of A. Revathi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A. Revathi. A. Revathi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Revathi, A., et al.. (2024). A Strategic Approach for Robust Dysarthric Speech Recognition. Wireless Personal Communications. 134(4). 2315–2346.
3.
Sasikaladevi, N., S. Pradeepa, A. Revathi, S. Vimal, & Rubén González Crespo. (2023). DIAGNOSIS OF KIDNEY CYST, TUMOR AND STONE FROM CT SCAN IMAGESUSING FEATURE FUSION HYPERGRAPH CONVOLUTIONAL NEURAL NETWORK (F2HCN2). International Journal for Multiscale Computational Engineering. 22(5). 35–46. 3 indexed citations
4.
Sasikaladevi, N. & A. Revathi. (2023). Intelligent prognostic system for pediatric pneumonia based on sustainable IoHT. Multimedia Tools and Applications. 82(17). 26901–26917. 2 indexed citations
5.
Pradeepa, S., A. Revathi, Vimal Shanmuganathan, et al.. (2023). Early diagnosis and meta-agnostic model visualization of tuberculosis based on radiography images. Scientific Reports. 13(1). 22803–22803. 13 indexed citations
6.
Revathi, A., et al.. (2023). Raspberry Pi-based robust speech command recognition for normal and hearing-impaired (HI). Multimedia Tools and Applications. 83(17). 51589–51613. 1 indexed citations
7.
Sasikaladevi, N. & A. Revathi. (2022). Hypergraph Convolutional Neural Network for Fast and Accurate Diagnosis (FAT) of COVID From X-ray Images. International Journal of Pattern Recognition and Artificial Intelligence. 36(10). 1 indexed citations
8.
Sasikaladevi, N., K. Geetha, & A. Revathi. (2020). RIGID- reversible lightweight, high payload semantically secured e-record hiding technique for smart city applications using pseudo-random matrices. Multimedia Tools and Applications. 79(17-18). 12289–12306. 2 indexed citations
9.
Revathi, A., et al.. (2020). An Enhanced Energy Optimization Routing Protocol with Fuzzy Logic in Wireless Sensor Network. International Journal of Innovative Technology and Exploring Engineering. 9(5). 1200–1206.
10.
Sasikaladevi, N., et al.. (2019). SCAN-speech biometric template protection based on genus-2 hyper elliptic curve. Multimedia Tools and Applications. 78(13). 18339–18361. 5 indexed citations
11.
Revathi, A. & N. Sasikaladevi. (2019). Hearing impaired speech recognition: Stockwell features and models. International Journal of Speech Technology. 22(4). 979–991. 6 indexed citations
12.
Revathi, A., et al.. (2019). Energy Consumption Based Low Energy Aware Gateway (LEAG) Protocol in Wireless Sensor Networks. International Journal of Engineering and Advanced Technology. 8(5s3). 128–132. 6 indexed citations
13.
Revathi, A.. (2019). A strategic approach to recognize the speech of the children with hearing impairment: different sets of features and models. Multimedia Tools and Applications. 78(15). 20787–20808. 14 indexed citations
14.
Revathi, A., et al.. (2018). Robust emotion recognition from speech: Gamma tone features and models. International Journal of Speech Technology. 21(3). 723–739. 18 indexed citations
15.
Revathi, A., et al.. (2018). Digital speech watermarking to enhance the security using speech as a biometric for person authentication. International Journal of Speech Technology. 21(4). 1021–1031. 4 indexed citations
16.
Revathi, A., et al.. (2018). Emotions recognition: different sets of features and models. International Journal of Speech Technology. 22(3). 473–482. 1 indexed citations
17.
Krishnamurthi, V., et al.. (2014). Development Of Speech Recognition System For Hearing Impaired In Native language. The Journal of Engineering Research [TJER]. 2(2).
18.
Krishnamurthi, V., et al.. (2013). Performance Evaluation of the Hearing Impaired Speech Recognition in Noisy Environment. International Review on Computers and Software (IRECOS). 8(10). 2467–2476. 2 indexed citations
19.
Revathi, A., et al.. (2012). Text Independent Speaker Recognition and Speaker Independent Speech Recognition Using Iterative Clustering Approach. 15 indexed citations
20.
Revathi, A., et al.. (2008). Use of perceptual features in iterative clustering based twins identification system. 2. 1–6. 6 indexed citations

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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