S. Rajasekar

3.1k total citations
114 papers, 2.4k citations indexed

About

S. Rajasekar is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, S. Rajasekar has authored 114 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Statistical and Nonlinear Physics, 65 papers in Computer Networks and Communications and 21 papers in Electrical and Electronic Engineering. Recurrent topics in S. Rajasekar's work include Nonlinear Dynamics and Pattern Formation (64 papers), Chaos control and synchronization (42 papers) and stochastic dynamics and bifurcation (39 papers). S. Rajasekar is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (64 papers), Chaos control and synchronization (42 papers) and stochastic dynamics and bifurcation (39 papers). S. Rajasekar collaborates with scholars based in India, Spain and South Africa. S. Rajasekar's co-authors include M. Lakshmanan, Miguel A. F. Sanjuán, V. Chinnathambi, K. Murali, Jürgen Kurths, Padmanabh Thakur, Ramesh C. Bansal, Afzal Sikander, Alexandre Wagemakers and V. Ravichandran and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Theoretical Biology and Physics Letters A.

In The Last Decade

S. Rajasekar

111 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Rajasekar India 28 1.8k 1.2k 507 292 273 114 2.4k
P. S. Landa Russia 18 1.2k 0.7× 901 0.8× 359 0.7× 106 0.4× 148 0.5× 74 1.7k
Günter Radons Germany 27 1.2k 0.7× 622 0.5× 443 0.9× 113 0.4× 168 0.6× 122 2.6k
Jan A. Sanders Netherlands 20 1.5k 0.8× 549 0.5× 243 0.5× 479 1.6× 190 0.7× 70 2.9k
Qinsheng Bi China 32 2.5k 1.4× 2.2k 1.8× 172 0.3× 356 1.2× 245 0.9× 240 3.6k
Wolfram Just Germany 28 1.6k 0.9× 1.3k 1.1× 238 0.5× 93 0.3× 93 0.3× 108 2.4k
I.G. Kevrekidis United States 24 1.0k 0.6× 723 0.6× 225 0.4× 413 1.4× 80 0.3× 62 2.2k
K. Murali India 32 2.6k 1.5× 1.6k 1.3× 209 0.4× 86 0.3× 355 1.3× 97 3.2k
Wei Xu China 27 1.9k 1.1× 1.0k 0.8× 117 0.2× 314 1.1× 93 0.3× 181 2.7k
Miguel A. Rodríguez Spain 25 676 0.4× 319 0.3× 302 0.6× 231 0.8× 685 2.5× 125 2.4k
Jan Sieber United Kingdom 25 543 0.3× 528 0.4× 204 0.4× 334 1.1× 303 1.1× 73 1.7k

Countries citing papers authored by S. Rajasekar

Since Specialization
Citations

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

Fields of papers citing papers by S. Rajasekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of S. Rajasekar. A scholar is included among the top collaborators of S. Rajasekar 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. Rajasekar. S. Rajasekar 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.
Rajasekar, S.. (2024). Numerical Methods.
2.
Priya, N. Vishnu, et al.. (2022). Higher order smooth positon and breather positon solutions of an extended nonlinear Schrödinger equation with the cubic and quartic nonlinearity. Chaos Solitons & Fractals. 162. 112433–112433. 15 indexed citations
3.
Vincent, U. E., P. V. E. McClintock, I. A. Khovanov, & S. Rajasekar. (2021). Vibrational and stochastic resonances in driven nonlinear systems: part 2. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 379(2198). 20210003–20210003. 14 indexed citations
4.
Vincent, U. E., P. V. E. McClintock, I. A. Khovanov, & S. Rajasekar. (2021). Vibrational and stochastic resonances in driven nonlinear systems. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 379(2192). 20200226–20200226. 31 indexed citations
5.
6.
Meenakshi, M., et al.. (2018). Homoclinic Bifurcation in a parametrically driven nonlinearly damped Duffing-vander Pol oscillator. SHILAP Revista de lepidopterología. 1 indexed citations
7.
Ravichandran, V., et al.. (2017). Coexistence of Multiple Attractors, Hysteresis, and Vibrational Resonance in the Classical Morse Oscillator Driven by an Amplitude Modulated Signa. Ukrainian Journal of Physics. 62(1). 51–59. 3 indexed citations
8.
Sikander, Afzal, Padmanabh Thakur, Ramesh C. Bansal, & S. Rajasekar. (2017). A novel technique to design cuckoo search based FOPID controller for AVR in power systems. Computers & Electrical Engineering. 70. 261–274. 120 indexed citations
9.
Ravichandran, V., et al.. (2014). Horseshoe Dynamics in an Asymmetric Duffing-Van der Pol Oscillator Driven by a Narrow-Band Frequency Modulated Force. Chinese Journal of Physics. 52(3). 1041–1058. 5 indexed citations
10.
Ravichandran, V., V. Chinnathambi, & S. Rajasekar. (2012). Study of nonescape dynamics in Duffing oscillator with four different periodic forces. Indian Journal of Physics. 86(10). 907–911. 5 indexed citations
11.
Rajasekar, S., et al.. (2011). Theory and numerics of vibrational resonance in Duffing oscillators with time-delayed feedback. Physical Review E. 83(6). 66205–66205. 93 indexed citations
12.
Chinnathambi, V., et al.. (2009). Single and multiple vibrational resonance in a quintic oscillator with monostable potentials. Physical Review E. 80(4). 46608–46608. 94 indexed citations
13.
Murali, K., et al.. (2004). Stochastic resonance in overdamped two coupled anharmonic oscillators. Physica A Statistical Mechanics and its Applications. 347. 99–116. 19 indexed citations
14.
Rajasekar, S. & K. Murali. (2003). Resonance behaviour and jump phenomenon in a two coupled Duffing–van der Pol oscillators. Chaos Solitons & Fractals. 19(4). 925–934. 32 indexed citations
15.
Parthasarathy, S. & S. Rajasekar. (1998). Probability distribution characteristics of chaos in a simple population model and the Bonhoeffer–van der Pol oscillator. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 58(5). 6839–6842. 4 indexed citations
16.
Rajasekar, S.. (1995). Controlling unstable periodic orbits in a Bonhoeffer-van der Pol equation. Chaos Solitons & Fractals. 5(11). 2135–2144. 9 indexed citations
17.
18.
Rajasekar, S. & M. Lakshmanan. (1994). Bifurcation, Chaos and Suppression of Chaos in FitzHugh-Nagumo Nerve Conduction Model Equation. Journal of Theoretical Biology. 166(3). 275–288. 12 indexed citations
19.
Murthy, K. P. N., et al.. (1993). Fractal measures of first passage time of a simple random walk. Physica A Statistical Mechanics and its Applications. 199(1). 55–66. 1 indexed citations
20.
Rajasekar, S. & M. Lakshmanan. (1988). Period-doubling bifurcations, chaos, phase-locking and devil's staircase in a Bonhoeffer-van der Pol oscillator. Physica D Nonlinear Phenomena. 32(1). 146–152. 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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