S. Saravanan

572 total citations
36 papers, 294 citations indexed

About

S. Saravanan is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, S. Saravanan has authored 36 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Biomedical Engineering. Recurrent topics in S. Saravanan's work include Low-power high-performance VLSI design (8 papers), Microgrid Control and Optimization (6 papers) and Advanced Battery Technologies Research (5 papers). S. Saravanan is often cited by papers focused on Low-power high-performance VLSI design (8 papers), Microgrid Control and Optimization (6 papers) and Advanced Battery Technologies Research (5 papers). S. Saravanan collaborates with scholars based in India, United States and Türkiye. S. Saravanan's co-authors include K. Jagatheesan, S. Satheeskumaran, C. Venkatesan, Thomas Fleischmann, K. Kubota, K.R.M. Vijaya Chandrakala, Pablo O. Vaccaro, Tahito Aida, M. Madheswaran and R. Anitha and has published in prestigious journals such as Scientific Reports, Journal of Medical Systems and Environment Development and Sustainability.

In The Last Decade

S. Saravanan

27 papers receiving 283 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Saravanan India 9 127 76 73 72 58 36 294
C. Chellamuthu India 13 182 1.4× 75 1.0× 56 0.8× 118 1.6× 35 0.6× 53 386
K. M. A. Salam Bangladesh 9 131 1.0× 29 0.4× 94 1.3× 73 1.0× 10 0.2× 31 308
Shaik Javeed Hussain Oman 9 66 0.5× 21 0.3× 173 2.4× 141 2.0× 27 0.5× 25 361
Jingfeng Mao China 10 186 1.5× 94 1.2× 7 0.1× 48 0.7× 14 0.2× 29 320
Johny Renoald Albert India 10 173 1.4× 109 1.4× 5 0.1× 39 0.5× 17 0.3× 16 314
Jiannan Zhang China 10 126 1.0× 219 2.9× 13 0.2× 20 0.3× 8 0.1× 23 365
Chengxin Pang China 11 163 1.3× 41 0.5× 3 0.0× 43 0.6× 46 0.8× 38 280
K. Balasubramanian Türkiye 8 83 0.7× 31 0.4× 4 0.1× 165 2.3× 24 0.4× 50 347
Yuanyuan Jiang China 11 197 1.6× 75 1.0× 6 0.1× 18 0.3× 19 0.3× 35 345

Countries citing papers authored by S. Saravanan

Since Specialization
Citations

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

Fields of papers citing papers by S. Saravanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of S. Saravanan. A scholar is included among the top collaborators of S. 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 S. Saravanan. S. 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, S., et al.. (2025). Sustainable agriculture through big data analytics: The role of ABC-RLS algorithm in enhancing crop production. Environment Development and Sustainability.
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Nandhini, S., et al.. (2024). Automatic screening of retinal lesions for detecting diabetic retinopathy using adaptive multiscale MobileNet with abnormality segmentation from public dataset. Network Computation in Neural Systems. 37(1). 1–33. 1 indexed citations
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Saravanan, S., et al.. (2024). Weather Prediction(analysis) using Soft kind of Computing techniques. 1337–1340. 2 indexed citations
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Chandrakala, K.R.M. Vijaya, et al.. (2024). Implementation of high step up converter using RBFN MPPT controller for fuel cell based electric vehicle application. Scientific Reports. 14(1). 29364–29364. 4 indexed citations
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Subramanian, S. V. & S. Saravanan. (2024). Modern Trends in No SQL Data Bases. International Journal of Computer Trends and Technology. 72(9). 126–130.
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Bruntha, P. Malin, et al.. (2024). Glaucoma Prediction Using Deep Learning Techniques - A Comparative Study. 1–5. 2 indexed citations
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Saravanan, S., et al.. (2020). Using artificial intelligence inverter power control which is based on DC link voltage regulation for IPMSM drives with electrolytic capacitor. AIP conference proceedings. 2207. 50001–50001. 1 indexed citations
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Saravanan, S., et al.. (2019). An Enhancement of Deep Learning Algorithm for Brain Tumor Segmentation Using Kernel Based CNN with M-SVM. Journal of Medical Systems. 43(4). 84–84. 86 indexed citations
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Saravanan, S., et al.. (2019). Multiple Watermarking for Images using Back-Propagation Neural Network and DWT. International Journal of Engineering and Advanced Technology. 9(1). 4088–4093. 2 indexed citations
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Chandrakala, K.R.M. Vijaya, et al.. (2019). Comparative study of maximum power point tracking techniques for fuel cell powered electric vehicle. IOP Conference Series Materials Science and Engineering. 577(1). 12031–12031. 19 indexed citations
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Saravanan, S., et al.. (2016). A New Clock Gated Flip Flop for Pipelining Architecture. Circuits and Systems. 7(8). 1361–1368. 2 indexed citations
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Saravanan, S. & M. Madheswaran. (2009). Design of low power, high performance area efficient shannon based adder cell for neural network training. 1–6. 2 indexed citations
20.
Vaccaro, Pablo O., K. Kubota, Thomas Fleischmann, S. Saravanan, & Tahito Aida. (2003). Valley-fold and mountain-fold in the micro-origami technique. Microelectronics Journal. 34(5-8). 447–449. 29 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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