R. Saravanakumar

1.6k total citations
75 papers, 1.4k citations indexed

About

R. Saravanakumar is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, R. Saravanakumar has authored 75 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Computer Networks and Communications, 43 papers in Control and Systems Engineering and 19 papers in Electrical and Electronic Engineering. Recurrent topics in R. Saravanakumar's work include Neural Networks Stability and Synchronization (52 papers), Stability and Control of Uncertain Systems (41 papers) and Advanced Memory and Neural Computing (16 papers). R. Saravanakumar is often cited by papers focused on Neural Networks Stability and Synchronization (52 papers), Stability and Control of Uncertain Systems (41 papers) and Advanced Memory and Neural Computing (16 papers). R. Saravanakumar collaborates with scholars based in India, Japan and South Korea. R. Saravanakumar's co-authors include M. Syed Ali, Hamid Reza Karimi, Choon Ki Ahn, Grienggrai Rajchakit, Jinde Cao, Young Hoon Joo, Sabri Arik, Nallappan Gunasekaran, R. Vadivel and Quanxin Zhu and has published in prestigious journals such as Information Sciences, Fuzzy Sets and Systems and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

R. Saravanakumar

63 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Saravanakumar India 25 1.1k 766 377 320 235 75 1.4k
Shenping Xiao China 15 877 0.8× 662 0.9× 238 0.6× 266 0.8× 199 0.8× 61 1.1k
Deqiang Zeng China 23 1.3k 1.2× 606 0.8× 477 1.3× 324 1.0× 629 2.7× 49 1.9k
Hanyong Shao China 15 770 0.7× 704 0.9× 190 0.5× 184 0.6× 155 0.7× 33 1.1k
Le Van Hien Vietnam 25 881 0.8× 1.4k 1.9× 422 1.1× 169 0.5× 196 0.8× 89 1.9k
R. Sriraman India 23 1.1k 1.0× 332 0.4× 401 1.1× 502 1.6× 424 1.8× 48 1.4k
Rongni Yang China 20 1.1k 1.0× 1.8k 2.4× 233 0.6× 264 0.8× 165 0.7× 75 2.2k
R. Samidurai India 28 1.6k 1.4× 640 0.8× 503 1.3× 634 2.0× 523 2.2× 64 1.8k
R. Manivannan India 18 604 0.5× 315 0.4× 232 0.6× 195 0.6× 198 0.8× 32 761

Countries citing papers authored by R. Saravanakumar

Since Specialization
Citations

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

Fields of papers citing papers by R. Saravanakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Saravanakumar

This figure shows the co-authorship network connecting the top 25 collaborators of R. Saravanakumar. A scholar is included among the top collaborators of R. Saravanakumar 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 R. Saravanakumar. R. Saravanakumar 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.
Vignesh, Shanmugam, et al.. (2024). An Intelligent Method for Detecting Jute Pests Using Deep Convolutional Neural Networks. 1324–1329. 1 indexed citations
2.
Swamynathan, S., et al.. (2024). A Machine Learning Approach for Predicting Air Quality Index in Smart Cities. 1609–1615. 2 indexed citations
3.
Gunasekaran, K., et al.. (2024). G-Bot: Revealing Government Programs with Smarted Assistance. 236–240. 1 indexed citations
4.
Saravanakumar, R., et al.. (2024). Advancements in Cybersecurity Using Deep Learning Techniques Attack Detection for Trojan Horses. 1–6. 3 indexed citations
5.
Saravanakumar, R., et al.. (2024). New insights on dissipative control technique for Takagi–Sugeno fuzzy system with variable time-delays and random packet dropouts. The European Physical Journal Special Topics. 234(8). 1341–1359.
6.
Selvaraj, P., et al.. (2024). Weapon Detection Identification and Classification for DCNN and YOLO-V5 Techniques. 1317–1323. 1 indexed citations
7.
Kazemy, Ali & R. Saravanakumar. (2023). Event‐triggered networked cascade control systems design subject to hybrid attacks. Mathematical Methods in the Applied Sciences. 47(4). 2609–2622. 3 indexed citations
8.
Saravanakumar, R., Ali Kazemy, & Yang Cao. (2022). Robust reliable ℋ∞ control for offshore steel jacket platforms via memory sampled‐data strategy. Mathematical Methods in the Applied Sciences. 48(7). 6987–6999. 4 indexed citations
9.
Saravanakumar, R. & Young Hoon Joo. (2022). Network‐based robust exponential fuzzy control for uncertain systems. Mathematical Methods in the Applied Sciences.
10.
Kazemy, Ali, R. Saravanakumar, & James Lam. (2021). Master–slave synchronization of neural networks subject to mixed-type communication attacks. Information Sciences. 560. 20–34. 31 indexed citations
11.
Saravanakumar, R., et al.. (2021). Improved stabilization criteria for Takagi–Sugeno fuzzy systems with variable delays. Information Sciences. 579. 591–606. 13 indexed citations
12.
Mukaidani, Hiroaki, et al.. (2020). Robust Nash Strategy for Uncertain SIR Time-Delay Model. 1897–1901.
13.
Saravanakumar, R. & Young Hoon Joo. (2019). Fuzzy dissipative and observer control for wind generator systems: a fuzzy time-dependent LKF approach. Nonlinear Dynamics. 97(4). 2189–2199. 9 indexed citations
14.
Gunasekaran, Nallappan, R. Saravanakumar, M. Syed Ali, & Quanxin Zhu. (2019). Exponential sampled-data control for T–S fuzzy systems: application to Chua's circuit. International Journal of Systems Science. 50(16). 2979–2992. 21 indexed citations
15.
Mukaidani, Hiroaki, R. Saravanakumar, Hua Xu, & Weihua Zhuang. (2019). Robust Nash Static Output Feedback Strategy for Uncertain Markov Jump Delay Stochastic Systems. 5826–5831. 3 indexed citations
16.
17.
Saravanan, S., M. Syed Ali, & R. Saravanakumar. (2018). Finite-Time Non-fragile Dissipative Stabilization of Delayed Neural Networks. Neural Processing Letters. 49(2). 573–591. 13 indexed citations
18.
Rajchakit, Grienggrai, R. Saravanakumar, Choon Ki Ahn, & Hamid Reza Karimi. (2016). Improved exponential convergence result for generalized neural networks including interval time-varying delayed signals. Neural Networks. 86. 10–17. 31 indexed citations
19.
Ali, M. Syed, R. Saravanakumar, & Sabri Arik. (2015). NovelH∞state estimation of static neural networks with interval time-varying delays via augmented Lyapunov–Krasovskii functional. Neurocomputing. 171. 949–954. 28 indexed citations
20.
Ali, M. Syed, R. Saravanakumar, & Quanxin Zhu. (2015). Less conservative delay-dependentH∞control of uncertain neural networks with discrete interval and distributed time-varying delays. Neurocomputing. 166. 84–95. 50 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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