K. Thamilmaran

1.8k total citations
77 papers, 1.5k citations indexed

About

K. Thamilmaran is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Cognitive Neuroscience. According to data from OpenAlex, K. Thamilmaran has authored 77 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Statistical and Nonlinear Physics, 58 papers in Computer Networks and Communications and 13 papers in Cognitive Neuroscience. Recurrent topics in K. Thamilmaran's work include Nonlinear Dynamics and Pattern Formation (49 papers), stochastic dynamics and bifurcation (46 papers) and Chaos control and synchronization (43 papers). K. Thamilmaran is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (49 papers), stochastic dynamics and bifurcation (46 papers) and Chaos control and synchronization (43 papers). K. Thamilmaran collaborates with scholars based in India, Russia and Germany. K. Thamilmaran's co-authors include M. Lakshmanan, Suresh Kumarasamy, A. Venkatesan, S. Leo Kingston, Premraj Durairaj, Awadhesh Prasad, D. V. Senthilkumar, Christos Volos, Tanmoy Banerjee and Syamal K. Dana and has published in prestigious journals such as Physics Letters A, Electronics Letters and Chaos Solitons & Fractals.

In The Last Decade

K. Thamilmaran

75 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
K. Thamilmaran India 24 1.3k 923 254 246 107 77 1.5k
R. Jaimes-Reátegui Mexico 19 932 0.7× 796 0.9× 199 0.8× 304 1.2× 229 2.1× 91 1.3k
Manish Dev Shrimali India 21 1.0k 0.8× 916 1.0× 124 0.5× 258 1.0× 108 1.0× 78 1.3k
P. Parmananda India 28 1.4k 1.1× 1.5k 1.6× 149 0.6× 372 1.5× 300 2.8× 154 2.2k
R. Sevilla-Escoboza Mexico 18 755 0.6× 788 0.9× 120 0.5× 261 1.1× 133 1.2× 49 1.2k
Dawid Dudkowski Poland 15 906 0.7× 811 0.9× 92 0.4× 193 0.8× 48 0.4× 32 1.2k
О. И. Москаленко Russia 17 658 0.5× 666 0.7× 108 0.4× 162 0.7× 169 1.6× 114 947
A. Tamaševičius Lithuania 21 1.6k 1.2× 1.3k 1.4× 129 0.5× 125 0.5× 121 1.1× 92 1.8k
Lucia Valentina Gambuzza Italy 20 904 0.7× 976 1.1× 474 1.9× 477 1.9× 34 0.3× 51 1.6k
John F. Lindner United States 18 1.2k 1.0× 829 0.9× 113 0.4× 322 1.3× 201 1.9× 71 1.5k
Т. Е. Вадивасова Russia 23 1.6k 1.2× 1.4k 1.5× 98 0.4× 412 1.7× 110 1.0× 106 2.0k

Countries citing papers authored by K. Thamilmaran

Since Specialization
Citations

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

Fields of papers citing papers by K. Thamilmaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Thamilmaran

This figure shows the co-authorship network connecting the top 25 collaborators of K. Thamilmaran. A scholar is included among the top collaborators of K. Thamilmaran 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 K. Thamilmaran. K. Thamilmaran 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.
Thamilmaran, K., et al.. (2024). Extreme events in a damped Korteweg–de Vries (KdV) autonomous system: A comprehensive analysis. Chaos Solitons & Fractals. 186. 115337–115337. 2 indexed citations
2.
Kumarasamy, Suresh, et al.. (2024). Extreme events and extreme multistability in a nearly conservative system. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(7). 3 indexed citations
3.
Thamilmaran, K., et al.. (2024). Dynamical instabilities cause extreme events in a theoretical Brusselator model. Chaos Solitons & Fractals. 180. 114582–114582. 7 indexed citations
4.
Thamilmaran, K., et al.. (2024). Transition to extreme events in a coupled memristive Hindmarsh–Rose neuron system. The European Physical Journal Plus. 139(3). 5 indexed citations
5.
Thamilmaran, K., et al.. (2024). Investigation of transient extreme events in a mutually coupled star network of theoretical Brusselator system. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(9).
6.
Thamilmaran, K., et al.. (2023). Hidden strange nonchaotic dynamics in a non-autonomous model. Chaos Solitons & Fractals. 168. 113101–113101. 1 indexed citations
7.
Thamilmaran, K., et al.. (2023). Extreme events and multistability in nonhyperbolic chaotic system. Nonlinear Dynamics. 112(2). 1431–1438. 12 indexed citations
8.
Thamilmaran, K., et al.. (2023). Experimental Observation of Extreme Events in the Shimizu Morioka Oscillator. International Journal of Bifurcation and Chaos. 33(16). 2 indexed citations
9.
Thamilmaran, K., et al.. (2022). Superextreme spiking oscillations and multistability in a memristor-based Hindmarsh–Rose neuron model. Nonlinear Dynamics. 111(1). 789–799. 42 indexed citations
10.
Thamilmaran, K., et al.. (2019). An Analytical and Experimental Study of SC-CNN-Based Simple Nonautonomous Chaotic Circuit. Journal of Computational and Nonlinear Dynamics. 14(12). 1 indexed citations
11.
Kingston, S. Leo, et al.. (2019). Different transitions of bursting and mixed-mode oscillations in Liénard system. AEU - International Journal of Electronics and Communications. 111. 152898–152898. 16 indexed citations
12.
13.
Kingston, S. Leo, K. Thamilmaran, Pinaki Pal, Ulrike Feudel, & Syamal K. Dana. (2017). Extreme events in the forced Liénard system. Physical review. E. 96(5). 52204–52204. 74 indexed citations
14.
Senthilkumar, D. V., Suresh Kumarasamy, V. K. Chandrasekar, et al.. (2016). Experimental demonstration of revival of oscillations from death in coupled nonlinear oscillators. Chaos An Interdisciplinary Journal of Nonlinear Science. 26(4). 43112–43112. 16 indexed citations
15.
Thamilmaran, K., et al.. (2015). A Rich Spectrum of Dynamical Phenomenon in a Forced Parallel LCR Circuit with a Simple Nonlinear Element. Chinese Journal of Physics. 2 indexed citations
16.
Thamilmaran, K., et al.. (2013). Transient chaos in two coupled, dissipatively perturbed Hamiltonian Duffing oscillators. Communications in Nonlinear Science and Numerical Simulation. 18(11). 3098–3107. 27 indexed citations
17.
Kumarasamy, Suresh, Awadhesh Prasad, & K. Thamilmaran. (2013). Birth of strange nonchaotic attractors through formation and merging of bubbles in a quasiperiodically forced Chuaʼs oscillator. Physics Letters A. 377(8). 612–621. 45 indexed citations
18.
Srinivasan, K., et al.. (2009). EXPERIMENTAL REALIZATION OF STRANGE NONCHAOTIC ATTRACTORS IN A NONLINEAR SERIES LCR CIRCUIT WITH NONSINUSOIDAL FORCE. International Journal of Bifurcation and Chaos. 19(12). 4131–4163. 7 indexed citations
19.
Senthilkumar, D. V., et al.. (2008). Bubbling route to strange nonchaotic attractor in a nonlinear seriesLCRcircuit with a nonsinusoidal force. Physical Review E. 78(6). 66211–66211. 38 indexed citations
20.
Thamilmaran, K., D. V. Senthilkumar, A. Venkatesan, & M. Lakshmanan. (2006). Experimental realization of strange nonchaotic attractors in a quasiperiodically forced electronic circuit. Physical Review E. 74(3). 36205–36205. 49 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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