G. Narayanan

975 total citations
30 papers, 757 citations indexed

About

G. Narayanan is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Electrical and Electronic Engineering. According to data from OpenAlex, G. Narayanan has authored 30 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Networks and Communications, 10 papers in Statistical and Nonlinear Physics and 8 papers in Electrical and Electronic Engineering. Recurrent topics in G. Narayanan's work include Neural Networks Stability and Synchronization (21 papers), stochastic dynamics and bifurcation (7 papers) and Gene Regulatory Network Analysis (6 papers). G. Narayanan is often cited by papers focused on Neural Networks Stability and Synchronization (21 papers), stochastic dynamics and bifurcation (7 papers) and Gene Regulatory Network Analysis (6 papers). G. Narayanan collaborates with scholars based in India, Saudi Arabia and South Korea. G. Narayanan's co-authors include M. Syed Ali, Vineet Shekher, Sabri Arik, Sumit Saroha, Bashir Ahmad, Bandana Priya, Hamed Alsulami, Ganesh Kumar Thakur, Ahmed Alsaedi and Grienggrai Rajchakit and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

G. Narayanan

29 papers receiving 740 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Narayanan India 14 555 268 241 172 171 30 757
V. Vembarasan India 15 551 1.0× 263 1.0× 196 0.8× 215 1.3× 96 0.6× 20 710
Jigui Jian China 21 905 1.6× 441 1.6× 384 1.6× 147 0.9× 186 1.1× 51 994
Yingjie Fan China 16 740 1.3× 454 1.7× 222 0.9× 166 1.0× 359 2.1× 41 933
Zuowei Cai China 21 898 1.6× 476 1.8× 222 0.9× 228 1.3× 326 1.9× 54 1.2k
Kai‐Ning Wu China 17 597 1.1× 209 0.8× 123 0.5× 427 2.5× 69 0.4× 84 875
Qintao Gan China 21 977 1.8× 497 1.9× 265 1.1× 131 0.8× 216 1.3× 63 1.2k
S. Mohamad Australia 7 531 1.0× 301 1.1× 282 1.2× 82 0.5× 103 0.6× 13 632
Zhenkun Huang China 20 870 1.6× 501 1.9× 365 1.5× 131 0.8× 194 1.1× 67 1.1k
Feifei Du China 17 398 0.7× 238 0.9× 172 0.7× 167 1.0× 77 0.5× 35 739
G. Nagamani India 21 842 1.5× 297 1.1× 279 1.2× 435 2.5× 282 1.6× 72 1.0k

Countries citing papers authored by G. Narayanan

Since Specialization
Citations

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

Fields of papers citing papers by G. Narayanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Narayanan

This figure shows the co-authorship network connecting the top 25 collaborators of G. Narayanan. A scholar is included among the top collaborators of G. Narayanan 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 G. Narayanan. G. Narayanan 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.
Narayanan, G., et al.. (2025). Intelligent Resilient Security Control for Fractional-Order Multiagent Networked Systems Using Reinforcement Learning and Event-Triggered Communication Mechanism. IEEE Transactions on Cybernetics. 55(11). 5103–5116. 2 indexed citations
2.
3.
Narayanan, G., et al.. (2024). Fractional impulsive controller design of fractional-order fuzzy systems with average dwell-time strategy and its application to wind energy systems. Communications in Nonlinear Science and Numerical Simulation. 140. 108394–108394. 3 indexed citations
4.
Saravanan, S., G. Narayanan, Karthikeyan Rajagopal, & M. Syed Ali. (2024). Finite-time synchronization of complex-valued neural networks with reaction-diffusion terms: an adaptive intermittent control approach. Neural Computing and Applications. 36(13). 7389–7404. 9 indexed citations
5.
Narayanan, G., et al.. (2024). Adaptive Strategies and its Application in the Mittag-Leffler Synchronization of Delayed Fractional-Order Complex-Valued Reaction-Diffusion Neural Networks. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(5). 3294–3307. 8 indexed citations
6.
Narayanan, G., et al.. (2023). Global Mittag-Leffler boundedness of nabla discrete-time fractional-order fuzzy complex-valued molecular models of mRNA and protein in regulatory mechanisms. Communications in Nonlinear Science and Numerical Simulation. 129. 107669–107669. 9 indexed citations
7.
Narayanan, G., et al.. (2023). Robust Adaptive Fractional Sliding-Mode Controller Design for Mittag-Leffler Synchronization of Fractional-Order PMSG-Based Wind Turbine System. IEEE Transactions on Systems Man and Cybernetics Systems. 53(12). 7646–7655. 12 indexed citations
8.
Narayanan, G., et al.. (2023). Impulsive control strategies of mRNA and protein dynamics on fractional-order genetic regulatory networks with actuator saturation and its oscillations in repressilator model. Biomedical Signal Processing and Control. 82. 104576–104576. 8 indexed citations
9.
10.
Narayanan, G., et al.. (2022). Stability analysis for Nabla discrete fractional-order of Glucose–Insulin Regulatory System on diabetes mellitus with Mittag-Leffler kernel. Biomedical Signal Processing and Control. 80. 104295–104295. 20 indexed citations
11.
Narayanan, G., et al.. (2022). Impulsive Consensus of Fractional-Order Takagi–Sugeno Fuzzy Multiagent Systems With Average Dwell Time Approach and Its Applications: Achieving Finite-Time Consensus. IEEE Systems Man and Cybernetics Magazine. 8(3). 41–50. 12 indexed citations
12.
Narayanan, G., M. Syed Ali, Quanxin Zhu, Bandana Priya, & Ganesh Kumar Thakur. (2022). Fuzzy Observer-Based Consensus Tracking Control for Fractional-Order Multi-Agent Systems Under Cyber-Attacks and Its Application to Electronic Circuits. IEEE Transactions on Network Science and Engineering. 10(2). 698–708. 55 indexed citations
14.
Ali, M. Syed, G. Narayanan, Sumit Saroha, Bandana Priya, & Ganesh Kumar Thakur. (2021). Finite-time stability analysis of fractional-order memristive fuzzy cellular neural networks with time delay and leakage term. Mathematics and Computers in Simulation. 185. 468–485. 52 indexed citations
16.
Ali, M. Syed, G. Narayanan, Saeid Nahavandi, Jin-Liang Wang, & Jinde Cao. (2021). Global Dissipativity Analysis and Stability Analysis for Fractional-Order Quaternion-Valued Neural Networks With Time Delays. IEEE Transactions on Systems Man and Cybernetics Systems. 52(7). 4046–4056. 40 indexed citations
17.
Narayanan, G., et al.. (2021). Synchronization of fractional-order permanent magnet synchronous generator model based on terminal sliding mode control with switching surface. 12(3). 655–667. 2 indexed citations
19.
Ali, M. Syed, G. Narayanan, Selçuk Sevgen, Vineet Shekher, & Sabri Arik. (2019). Global stability analysis of fractional-order fuzzy BAM neural networks with time delay and impulsive effects. Communications in Nonlinear Science and Numerical Simulation. 78. 104853–104853. 72 indexed citations
20.
Ali, M. Syed, G. Narayanan, Vineet Shekher, Hamed Alsulami, & Tareq Saeed. (2019). Dynamic stability analysis of stochastic fractional-order memristor fuzzy BAM neural networks with delay and leakage terms. Applied Mathematics and Computation. 369. 124896–124896. 64 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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