Prakash Mani

1.9k total citations · 1 hit paper
45 papers, 1.5k citations indexed

About

Prakash Mani is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Prakash Mani has authored 45 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 14 papers in Control and Systems Engineering and 14 papers in Statistical and Nonlinear Physics. Recurrent topics in Prakash Mani's work include Neural Networks Stability and Synchronization (16 papers), Mathematical and Theoretical Epidemiology and Ecology Models (13 papers) and Evolution and Genetic Dynamics (8 papers). Prakash Mani is often cited by papers focused on Neural Networks Stability and Synchronization (16 papers), Mathematical and Theoretical Epidemiology and Ecology Models (13 papers) and Evolution and Genetic Dynamics (8 papers). Prakash Mani collaborates with scholars based in India, South Korea and Australia. Prakash Mani's co-authors include S. Lakshmanan, Young Hoon Joo, R. Rakkiyappan, P. Balasubramaniam, Chee Peng Lim, Saeid Nahavandi, P. Tamilalagan, Jang‐Ho Lee, Ki-Weon Kang and A‎. ‎Vinodkumar and has published in prestigious journals such as Scientific Reports, IEEE Access and Information Sciences.

In The Last Decade

Prakash Mani

41 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Synchronization of an Inertial Neural Network With Time-Varying Delays and Its Application to Secure Communication

2016 295 citations S. Lakshmanan, Prakash Mani et al. IEEE Transactions on Neural Networks and Learning Systems profile →

Peers

Prakash Mani

CNC

SNP

EEE

CSE

Tao Dong China

Cheng Hu China

R. Sriraman India

Xiaobing Nie China

Haibo Bao China

Huaiqin Wu China

Ahmed Alsaedi Saudi Arabia

Tiedong Ma China

Yongqing Yang China

Tao Dong China

Prakash Mani

1.0k ×1.1

CNC

364 ×0.7

SNP

269 ×0.5

EEE

318 ×0.6

CSE

262 ×0.8

Citations per year, relative to Prakash Mani Prakash Mani (= 1×) peers Tao Dong

Countries citing papers authored by Prakash Mani

Since Specialization

Citations

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

Fields of papers citing papers by Prakash Mani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prakash Mani

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Mani, Prakash, et al.. (2025). Bistability and bifurcations in HIV-1 infection model with non-monotone responses. Scientific Reports. 15(1). 7265–7265.

Kashkynbayev, Ardak, et al.. (2025). Finite-time contractive stabilization for fractional-order switched systems via event-triggered impulse control. Communications in Nonlinear Science and Numerical Simulation. 143. 108658–108658. 2 indexed citations

Rihan, Fathalla A., et al.. (2025). Optimal Control Design for a HIV‐1 Model With Time Delay and Functional Responses. Mathematical Methods in the Applied Sciences. 48(18). 16578–16591.

Mani, Prakash, et al.. (2024). Adaptive synchronization of the switching stochastic neural networks with time-dependent delays. The European Physical Journal Special Topics. 234(8). 1689–1699. 2 indexed citations

Mani, Prakash, et al.. (2024). Sampled-data synchronization for fuzzy inertial cellular neural networks and its application in secure communication. Neural Networks. 180. 106671–106671. 10 indexed citations

Mani, Prakash, et al.. (2024). An aperiodically intermittent control for finite-time and fixed-time synchronization of stochastic FCNN with switching parameters. Communications in Nonlinear Science and Numerical Simulation. 141. 108472–108472.

Lim, Chee Peng, et al.. (2024). Fuzzy-Based Sampled-Data Synchronization of the Hindmarsh–Rose Neuronal Model. IEEE Transactions on Fuzzy Systems. 32(9). 5285–5295. 1 indexed citations

Mani, Prakash, et al.. (2024). Non-fragile event-triggered control for PMSM model with stochastic disturbances. The European Physical Journal Special Topics. 234(8). 1499–1509. 1 indexed citations

Krishnasamy, R., et al.. (2023). Non-fragile sampled-data control for synchronization of chaotic fractional-order delayed neural networks via LMI approach. Chaos Solitons & Fractals. 169. 113252–113252. 19 indexed citations

10.

Lim, Chee Peng, et al.. (2023). Synchronization of Fractional Stochastic Neural Networks: An Event Triggered Control Approach. IEEE Transactions on Systems Man and Cybernetics Systems. 54(2). 1113–1123. 6 indexed citations

11.

Joo, Young Hoon, et al.. (2023). Fuzzy-Based Integral Sliding Mode Control for PMSM With Fractional Stochastic Disturbances. IEEE Transactions on Systems Man and Cybernetics Systems. 54(2). 1191–1201. 10 indexed citations

12.

Lakshmanan, S., et al.. (2022). Dynamical Analysis of Posttreatment HIV‐1 Infection Model. Complexity. 2022(1). 3 indexed citations

13.

Mani, Prakash, et al.. (2022). Synchronization of Stochastic Neural Networks Using Looped-Lyapunov Functional and Its Application to Secure Communication. IEEE Transactions on Neural Networks and Learning Systems. 35(4). 5198–5210. 23 indexed citations

14.

Mani, Prakash & Young Hoon Joo. (2020). Fuzzy logic-based integral sliding mode control of multi-area power systems integrated with wind farms. Information Sciences. 545. 153–169. 52 indexed citations

15.

Mani, Prakash, R. Rakkiyappan, & Young Hoon Joo. (2019). Design of Observer-Based Event-Triggered Fuzzy ISMC for T–S Fuzzy Model and its Application to PMSG. IEEE Transactions on Systems Man and Cybernetics Systems. 51(4). 2221–2231. 39 indexed citations

16.

‎Vinodkumar, A‎., Prakash Mani, & Young Hoon Joo. (2019). Impulsive observer‐based output control for PMSG‐based Wind Energy Conversion System. IET Control Theory and Applications. 13(13). 2056–2064. 17 indexed citations

17.

Lakshmanan, S., Prakash Mani, R. Rakkiyappan, & Young Hoon Joo. (2018). Adaptive Synchronization of Reaction–Diffusion Neural Networks and Its Application to Secure Communication. IEEE Transactions on Cybernetics. 50(3). 911–922. 187 indexed citations

18.

Mani, Prakash, R. Rakkiyappan, S. Lakshmanan, & Young Hoon Joo. (2018). Adaptive Fractional Fuzzy Integral Sliding Mode Control for PMSM Model. IEEE Transactions on Fuzzy Systems. 27(8). 1674–1686. 173 indexed citations

19.

Mani, Prakash, P. Balasubramaniam, & S. Lakshmanan. (2016). Synchronization of Markovian jumping inertial neural networks and its applications in image encryption. Neural Networks. 83. 86–93. 181 indexed citations

20.

Hettiarachchi, Imali, S. Lakshmanan, Asim Bhatti, et al.. (2016). Chaotic synchronization of time-delay coupled Hindmarsh–Rose neurons via nonlinear control. Nonlinear Dynamics. 86(2). 1249–1262. 31 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.

Explore authors with similar magnitude of impact