S. Lakshmanan

4.6k total citations · 1 hit paper
104 papers, 3.9k citations indexed

About

S. Lakshmanan is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, S. Lakshmanan has authored 104 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Computer Networks and Communications, 48 papers in Control and Systems Engineering and 25 papers in Statistical and Nonlinear Physics. Recurrent topics in S. Lakshmanan's work include Neural Networks Stability and Synchronization (65 papers), Stability and Control of Uncertain Systems (36 papers) and Nonlinear Dynamics and Pattern Formation (17 papers). S. Lakshmanan is often cited by papers focused on Neural Networks Stability and Synchronization (65 papers), Stability and Control of Uncertain Systems (36 papers) and Nonlinear Dynamics and Pattern Formation (17 papers). S. Lakshmanan collaborates with scholars based in India, South Korea and Australia. S. Lakshmanan's co-authors include R. Rakkiyappan, P. Balasubramaniam, Young Hoon Joo, Prakash Mani, Fathalla A. Rihan, Ju H. Park, Saeid Nahavandi, Chee Peng Lim, A. Chandrasekar and Ho-Youl Jung and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Information Sciences.

In The Last Decade

S. Lakshmanan

99 papers receiving 3.8k 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. profile →

Peers

Countries citing papers authored by S. Lakshmanan

Since Specialization

Citations

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

Fields of papers citing papers by S. Lakshmanan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Synchronization for coupling delayed complex dynamical networks in time-square-dependent looped-functionals via a new sampled-data control approach 2025 ·Neurocomputing ·(unknown), (unknown), (unknown), S. Lakshmanan	1
2	Fractional Exponent-Based Looped-Lyapunov Functional for Mode-Dependent Sampled-Data Control of T–S Fuzzy Markovian Jump Systems With $\mathscr {H}_{\infty }$ Performance 2025 ·IEEE Transactions on Fuzzy Systems ·(unknown), (unknown), Tae-Hee Lee, S. Lakshmanan	1
3	Containment control for non-linear fractional-order multi-agent systems via refined sample data controller 2024 ·(unknown), P. Balasubramaniam, S. Lakshmanan	0
4	A novel intuitionistic fuzzy generator for low-contrast color image enhancement technique 2024 ·Information Fusion ·(unknown), (unknown), (unknown), S. Lakshmanan	11
5	Fuzzy sampled‐data control of PMSG‐based wind turbine systems with random occurring uncertainties 2023 ·International Journal of Adaptive Control and Signal Processing ·S. Lakshmanan, Young Hoon Joo	5
6	Non-fragile sampled-data control for synchronization of chaotic fractional-order delayed neural networks via LMI approach 2023 ·Chaos Solitons & Fractals ·(unknown), R. Krishnasamy, S. Lakshmanan, Prakash Mani, (unknown)	19
7	Adaptive neural networks-based integral sliding mode control for T-S fuzzy model of delayed nonlinear systems 2023 ·Applied Mathematics and Computation ·S. Lakshmanan, Young Hoon Joo	8
8	Dynamical Analysis of Posttreatment HIV‐1 Infection Model 2022 ·Complexity ·(unknown), (unknown), S. Lakshmanan, Fathalla A. Rihan, Prakash Mani	3
9	Optimal control of tumour-immune model with time-delay and immuno-chemotherapy 2019 ·Applied Mathematics and Computation ·Fathalla A. Rihan, S. Lakshmanan, H. Maurer	52
10	Nonfragile Sampled-Data Control for Uncertain Networked Control Systems With Additive Time-Varying Delays 2018 ·IEEE Transactions on Cybernetics ·P. Muthukumar, (unknown), S. Lakshmanan	31
11	Adaptive Synchronization of Reaction–Diffusion Neural Networks and Its Application to Secure Communication 2018 ·IEEE Transactions on Cybernetics ·S. Lakshmanan, Prakash Mani, R. Rakkiyappan, Young Hoon Joo	187
12	Improved Delay-Dependent Stability Criteria for Telerobotic Systems With Time-Varying Delays 2017 ·IEEE Transactions on Systems Man and Cybernetics Systems ·(unknown), Reza Mohajerpoor, S. Lakshmanan, Hamid Abdi, Saeid Nahavandi	24
13	Robust H∞ cost guaranteed integral sliding mode control for the synchronization problem of nonlinear tele-operation system with variable time-delay 2017 ·ISA Transactions ·(unknown), Suiyang Khoo, Tae-Hee Lee, S. Lakshmanan, Saeid Nahavandi	26
14	Stabilization of delayed Cohen‐Grossberg BAM neural networks 2017 ·Mathematical Methods in the Applied Sciences ·C. Rajivganthi, Fathalla A. Rihan, S. Lakshmanan	10
15	Synchronization of Markovian jumping inertial neural networks and its applications in image encryption 2016 ·Neural Networks ·Prakash Mani, P. Balasubramaniam, S. Lakshmanan	181
16	Chaotic synchronization of time-delay coupled Hindmarsh–Rose neurons via nonlinear control 2016 ·Nonlinear Dynamics ·Imali Hettiarachchi, S. Lakshmanan, Asim Bhatti, Chee Peng Lim, Prakash Mani, P. Balasubramaniam, Saeid Nahavandi	31
17	Leakage-delay-dependent stability analysis of Markovian jumping linear systems with time-varying delays and nonlinear perturbations 2015 ·Applied Mathematical Modelling ·R. Rakkiyappan, S. Lakshmanan, R. Sivasamy, Chee Peng Lim	26
18	Exponential state estimation of Markovian jumping genetic regulatory networks with mode-dependent probabilistic time-varying delays 2014 ·Mathematical Biosciences ·R. Rakkiyappan, A. Chandrasekar, Fathalla A. Rihan, S. Lakshmanan	23
19	GLOBAL ROBUST STABILITY CRITERIA FOR T-S FUZZY SYSTEMS WITH DISTRIBUTED DELAYS AND TIME DELAY IN THE LEAKAGE TERM 2012 ·Iranian journal of fuzzy systems ·S. Lakshmanan, R. Rakkiyappan, P. Balasubramaniam	9
20	Improved results on robust stability of neutral systems with mixed time-varying delays and nonlinear perturbations 2011 ·Applied Mathematical Modelling ·S. Lakshmanan, T. Senthilkumar, P. Balasubramaniam	86

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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