N. Saravanan

1.3k total citations
35 papers, 921 citations indexed

About

N. Saravanan is a scholar working on Artificial Intelligence, Information Systems and Control and Systems Engineering. According to data from OpenAlex, N. Saravanan has authored 35 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 9 papers in Information Systems and 8 papers in Control and Systems Engineering. Recurrent topics in N. Saravanan's work include Fault Detection and Control Systems (7 papers), Cloud Data Security Solutions (6 papers) and Neural Networks and Applications (6 papers). N. Saravanan is often cited by papers focused on Fault Detection and Control Systems (7 papers), Cloud Data Security Solutions (6 papers) and Neural Networks and Applications (6 papers). N. Saravanan collaborates with scholars based in India, United States and Oman. N. Saravanan's co-authors include K.I. Ramachandran, David B. Fogel, A. Umamakeswari, Narayanan Subramanian, Á. E. Eiben, Nivedita Sairam, V William Porto, D. Shanthi, G. B. Sahoo and Tian Guo and has published in prestigious journals such as Expert Systems with Applications, Applied Soft Computing and Journal of Guidance Control and Dynamics.

In The Last Decade

N. Saravanan

31 papers receiving 838 citations

Peers

N. Saravanan
Funa Zhou China
L.B. Jack United Kingdom
Stephen McAleer United States
Zhen Jia China
Funa Zhou China
N. Saravanan
Citations per year, relative to N. Saravanan N. Saravanan (= 1×) peers Funa Zhou

Countries citing papers authored by N. Saravanan

Since Specialization
Citations

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

Fields of papers citing papers by N. Saravanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Saravanan

This figure shows the co-authorship network connecting the top 25 collaborators of N. Saravanan. A scholar is included among the top collaborators of N. Saravanan 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 N. Saravanan. N. Saravanan 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.
Saravanan, N., et al.. (2024). Face Recognition For Exam Hall Seating Arrangement Using Deep Learning Algorithm. 130–133. 1 indexed citations
2.
Saravanan, N., et al.. (2024). Dynamically stabilized recurrent neural network optimized with Artificial Gorilla Troops espoused Alzheimer’s disorder detection using EEG signals. Health Information Science and Systems. 12(1). 25–25. 4 indexed citations
4.
Vijayalakshmi, A., et al.. (2023). 5G Network Slicing Algorithm Development using Bagging based-Gaussian Naive Bayes. 1–5. 1 indexed citations
5.
Saravanan, N. & A. Umamakeswari. (2022). Enhanced attribute based encryption technique for secured access in cloud storage for personal health records. Concurrency and Computation Practice and Experience. 34(11). 5 indexed citations
6.
Subramanian, Narayanan, et al.. (2019). K- Means Based Probabilistic Neural Network (KPNN) For Designing Physical Machine – Classifier. International Journal of Innovative Technology and Exploring Engineering. 9(1). 800–804. 3 indexed citations
7.
Saravanan, N., et al.. (2018). Data Wrangling and Data Leakage in Machine Learning for Healthcare. SSRN Electronic Journal. 5(8). 553-557–553-557. 13 indexed citations
9.
Saravanan, N., et al.. (2014). Synthesis of Neurosteroids and its Sexual Dimorphism in the Brain of Tilapia Oreochromis Mossambicus. Indian Journal of Science and Technology. 7(9). 1267–1270. 2 indexed citations
10.
Saravanan, N., et al.. (2014). Power Optimization in Domino Circuits using Stacked Transistors. 1 indexed citations
11.
Saravanan, N., et al.. (2013). Privacy Preserving Approaches in Cloud: a Survey. Indian Journal of Science and Technology. 6(5). 4531–4535. 22 indexed citations
12.
Saravanan, N., et al.. (2012). A Review on Leaders in Cloud Computing Service Providers and Cloud SQL a Case Study. Research Journal of Applied Sciences Engineering and Technology. 4(17). 2926–2933. 1 indexed citations
13.
Saravanan, N., et al.. (2012). Implementation of K-Means Clustering in Cloud Computing Environment. Research Journal of Applied Sciences Engineering and Technology. 4(10). 1391–1394. 17 indexed citations
15.
Saravanan, N., et al.. (2009). Static and Dynamic Analysis of Asymmetric Bevel Gears using Finite Element Method.. International Journal of Applied Engineering Research. 4. 1 indexed citations
16.
Saravanan, N. & K.I. Ramachandran. (2009). Incipient gear box fault diagnosis using discrete wavelet transform (DWT) for feature extraction and classification using artificial neural network (ANN). Expert Systems with Applications. 37(6). 4168–4181. 258 indexed citations
17.
Saravanan, N., et al.. (2005). A System Identification Approach for Failure Diagnosis and Detection. 1. 61–64. 1 indexed citations
18.
Saravanan, N., et al.. (1995). A comparison of methods for self-adaptation in evolutionary algorithms. Biosystems. 36(2). 157–166. 55 indexed citations
19.
Saravanan, N., et al.. (1994). Modeling space shuttle main engine using feed-forward neural networks. Journal of Guidance Control and Dynamics. 17(4). 641–648. 11 indexed citations
20.
Saravanan, N., et al.. (1993). Modeling of the Space Shuttle Main Engine Using Feed-forward Neural Networks. 2897–2899. 3 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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