S. Baghavathi Priya

567 total citations
30 papers, 289 citations indexed

About

S. Baghavathi Priya is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, S. Baghavathi Priya has authored 30 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 12 papers in Artificial Intelligence and 7 papers in Information Systems. Recurrent topics in S. Baghavathi Priya's work include Data Stream Mining Techniques (4 papers), Energy Efficient Wireless Sensor Networks (4 papers) and Network Security and Intrusion Detection (3 papers). S. Baghavathi Priya is often cited by papers focused on Data Stream Mining Techniques (4 papers), Energy Efficient Wireless Sensor Networks (4 papers) and Network Security and Intrusion Detection (3 papers). S. Baghavathi Priya collaborates with scholars based in India, Switzerland and Thailand. S. Baghavathi Priya's co-authors include R. Annie Uthra, Prabuddha Manjula, Rakesh Kumar Mahendran, T. Ravichandran, J Shreyas, R.S. Ponmagal, Francesco Flammini, Siddhartha Mishra, H L Gururaj and Raghuraj Singh and has published in prestigious journals such as IEEE Access, Computer Communications and Biomedical Signal Processing and Control.

In The Last Decade

S. Baghavathi Priya

27 papers receiving 263 citations

Peers

S. Baghavathi Priya

CNC

EEE

CVPR

S. Prabu India

Farnaz Farid Australia

Stephen Jeswinde Nuagah Ghana

Vimal Bibhu India

Surendran Rajendran India

Mohammed G.H. Al Zamil Jordan

Ayman Taha Egypt

Mohammed Al‐Maitah Saudi Arabia

Zhuoqing Chang China

Masood Habib Pakistan

S. Prabu India

S. Baghavathi Priya

85 ×0.8

CNC

77 ×0.8

74 ×1.1

EEE

56 ×1.0

CVPR

67 ×1.7

Citations per year, relative to S. Baghavathi Priya S. Baghavathi Priya (= 1×) peers S. Prabu

Countries citing papers authored by S. Baghavathi Priya

Since Specialization

Citations

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

Fields of papers citing papers by S. Baghavathi Priya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Baghavathi Priya

This figure shows the co-authorship network connecting the top 25 collaborators of S. Baghavathi Priya. A scholar is included among the top collaborators of S. Baghavathi Priya 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. Baghavathi Priya. S. Baghavathi Priya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Priya, S. Baghavathi, et al.. (2024). Parkinson's Disease Diagnosis: A Deep Learning Approach Using CNN AlexNet and MR Scans. 1–5.

Priya, S. Baghavathi, et al.. (2024). Enhanced Detection of Autism Spectrum Disorder Using ResNet: A Deep Learning Approach. 1–8.

Gururaj, H L, et al.. (2024). A Comprehensive Review of Face Recognition Techniques, Trends, and Challenges. IEEE Access. 12. 107903–107926. 12 indexed citations

Priya, S. Baghavathi, et al.. (2023). A block chain-based approach using proof of continuous work consensus algorithm to secure the educational records. Peer-to-Peer Networking and Applications. 16(5). 2456–2473. 2 indexed citations

Priya, S. Baghavathi & R.S. Ponmagal. (2023). Real-Time Multi Fractal Trust Evaluation Model for Efficient Intrusion Detection in Cloud. Intelligent Automation & Soft Computing. 37(2). 1895–1907.

Yadav, Chandra Shekhar, Raghuraj Singh, Sambit Satpathy, et al.. (2023). Energy efficient and optimized genetic algorithm for software effort estimator using double hidden layer bi-directional associative memory. Sustainable Energy Technologies and Assessments. 56. 102986–102986. 6 indexed citations

Priya, S. Baghavathi & R.S. Ponmagal. (2023). Network Intrusion Detection System Based Security System for Cloud Services Using Novel Recurrent Neural Network - Autoencoder (NRNN-AE) and Genetic. Advances in science and technology. 4 indexed citations

Manjula, Prabuddha & S. Baghavathi Priya. (2022). An effective network intrusion detection and classification system for securing WSN using VGG-19 and hybrid deep neural network techniques. Journal of Intelligent & Fuzzy Systems. 43(5). 6419–6432. 12 indexed citations

Priya, S. Baghavathi, et al.. (2022). Analysis and Winning Prediction in T20 Cricket using Machine Learning. 1–4. 11 indexed citations

10.

Priya, S. Baghavathi, et al.. (2022). Prediction Model for a Good Learning Environment Using an Ensemble Approach. Computer Systems Science and Engineering. 44(3). 2081–2093. 6 indexed citations

11.

Manjula, Prabuddha & S. Baghavathi Priya. (2022). Chimp Optimization Algorithm based Energy Aware Secure Routing Protocol for Wireless Sensor Networks. 2022 6th International Conference on Computing Methodologies and Communication (ICCMC). 188–193. 5 indexed citations

12.

Priya, S. Baghavathi, et al.. (2021). Comparative Analysis of Supervised Machine Learning Algorithms for Evaluating the Performance Level of Students. 2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). 1–10. 3 indexed citations

13.

Mishra, Siddhartha, et al.. (2021). GALGOBOT – The College Companion Chatbot. 1374–1378. 6 indexed citations

14.

Priya, S. Baghavathi, et al.. (2021). Vision Based Real Time Monitoring System for Elderly Fall Event Detection Using Deep Learning. Computer Systems Science and Engineering. 42(1). 87–103. 22 indexed citations

15.

Priya, S. Baghavathi & R. Annie Uthra. (2020). An Effective Concept Drift Detection Technique with Kernel Extreme Learning Machine for Email Spam Filtering. 774–779. 7 indexed citations

16.

Priya, S. Baghavathi, et al.. (2018). Posture based health monitoring and unusual behavior recognition system for elderly using dynamic Bayesian network. Cluster Computing. 22(S6). 13583–13590. 26 indexed citations

17.

Priya, S. Baghavathi, et al.. (2017). Survey of machine learning methods for big data applications. 25. 1–5. 6 indexed citations

18.

Priya, S. Baghavathi & T. Ravichandran. (2013). An Optimal Scheduling Algorithm for Real Time Applications in Grid System. 4 indexed citations

19.

Priya, S. Baghavathi. (2012). Survey on Efficient, Low-power, AES Image Encryption and Bio-cryptography Schemes. 3 indexed citations

20.

Priya, S. Baghavathi & T. Ravichandran. (2011). Fault Tolerance and Recovery for Grid Application Reliability using Check Pointing Mechanism. International Journal of Computer Applications. 26(5). 32–37. 1 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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