S. Praveena

496 total citations
41 papers, 352 citations indexed

About

S. Praveena is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Media Technology. According to data from OpenAlex, S. Praveena has authored 41 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 11 papers in Electrical and Electronic Engineering and 7 papers in Media Technology. Recurrent topics in S. Praveena's work include Remote-Sensing Image Classification (7 papers), Advanced Image Fusion Techniques (5 papers) and AI in cancer detection (3 papers). S. Praveena is often cited by papers focused on Remote-Sensing Image Classification (7 papers), Advanced Image Fusion Techniques (5 papers) and AI in cancer detection (3 papers). S. Praveena collaborates with scholars based in India, Switzerland and United States. S. Praveena's co-authors include D. Binu, B. R. Rajakumar, R Lavanya, Surya Prakash Singh, Kaushal Kumar, Iyyanki V. Murali Krishna, P. Veeresha, A. Uma, S. Prabakaran and Madhuban Gopal and has published in prestigious journals such as Scientific Reports, Neural Computing and Applications and The Computer Journal.

In The Last Decade

S. Praveena

34 papers receiving 318 citations

Peers

S. Praveena
Vrince Vimal India
Yajiao Tang China
Amir Zahedi Iran
D. Vijendra Babu India
Hussein Al-Zoubi Jordan
Muhammad Kazim China
Mahsa Torkamanian-Afshar Türkiye
Pradip Dhal India
Farid Ghareh Mohammadi United States
Priti Maheshwary India
Vrince Vimal India
S. Praveena
Citations per year, relative to S. Praveena S. Praveena (= 1×) peers Vrince Vimal

Countries citing papers authored by S. Praveena

Since Specialization
Citations

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

Fields of papers citing papers by S. Praveena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Praveena

This figure shows the co-authorship network connecting the top 25 collaborators of S. Praveena. A scholar is included among the top collaborators of S. Praveena 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 S. Praveena. S. Praveena 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.
Praveena, S., et al.. (2025). Bio inspired multi agent system for distributed power and interference management in MIMO OFDM networks. Scientific Reports. 15(1). 13740–13740.
2.
Praveena, S., et al.. (2025). Deep Fake Video Detection Using Transfer Learning Resnet50. International Research Journal on Advanced Engineering and Management (IRJAEM). 3(3). 585–590.
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Praveena, S.. (2023). Child Safety Monitoring System Based on IoT. INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT. 7(3). 1 indexed citations
6.
Praveena, S., et al.. (2023). Deep learning model for traffic flow prediction in wireless network. Automatika. 64(4). 848–857. 2 indexed citations
7.
Praveena, S., et al.. (2023). Hyperparameter Tuned Deep Learning Model for Healthcare Monitoring System in Big Data. 281–287. 3 indexed citations
8.
Praveena, S., et al.. (2023). Mouse Cursor Controlled by Eye Movement for Individuals with Disabilities. 1750–1758. 2 indexed citations
9.
Praveena, S., et al.. (2021). EEG based Driver Drowsiness Detection and Alert System.
10.
Praveena, S., et al.. (2021). FOREST FIRE DETECTION USING DRONE. 6(7). 110–113. 3 indexed citations
11.
Praveena, S., et al.. (2019). Frequency Reconfigurable Antenna using PIN Diodes. International Journal of Engineering and Advanced Technology. 9(1S5). 66–70. 1 indexed citations
12.
Praveena, S., et al.. (2019). Frequency Reconfigurable Antenna using PIN Diodes. International Journal of Engineering and Advanced Technology. 9(1s5). 66–70. 1 indexed citations
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Praveena, S., et al.. (2017). Detailed Discrimination of Fomentation (Ottradam) in Siddha System. 3(7). 108–111. 1 indexed citations
15.
Praveena, S., et al.. (2015). An Effective Security Based Wireless Information System Based on Fusion Principal Component Analysis. Wireless Personal Communications. 86(2). 887–899. 3 indexed citations
16.
Praveena, S., et al.. (2014). Biometric Authentication System for BodyArea Network. International Journal of Advanced Research in Electrical Electronics and Instrumentation Engineering. 3(3). 7954–7964. 7 indexed citations
17.
Praveena, S., et al.. (2014). Design of wavelet based image fusion using A Trous algorithm. 58. 1–5. 3 indexed citations
18.
Praveena, S., et al.. (2013). An Approach for the Segmentation of Satellite Images Using Moving KFCM and Naive Bayes Classifier. 3(2). 7–15. 1 indexed citations
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Arya, Arti, et al.. (2010). Automatic Fuzzy Classification Tool for Customer Loyalty using Gaussian Membership Function. 2(7). 168–173.

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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