D. V. Senthilkumar

1.7k total citations
98 papers, 1.3k citations indexed

About

D. V. Senthilkumar is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Cognitive Neuroscience. According to data from OpenAlex, D. V. Senthilkumar has authored 98 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Computer Networks and Communications, 61 papers in Statistical and Nonlinear Physics and 24 papers in Cognitive Neuroscience. Recurrent topics in D. V. Senthilkumar's work include Nonlinear Dynamics and Pattern Formation (86 papers), stochastic dynamics and bifurcation (37 papers) and Chaos control and synchronization (30 papers). D. V. Senthilkumar is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (86 papers), stochastic dynamics and bifurcation (37 papers) and Chaos control and synchronization (30 papers). D. V. Senthilkumar collaborates with scholars based in India, Germany and United Kingdom. D. V. Senthilkumar's co-authors include Jürgen Kurths, M. Lakshmanan, Wei Zou, V. K. Chandrasekar, Meng Zhan, Aneta Koseska, K. Thamilmaran, Jinqiao Duan, Yang Tang and István Z. Kiss and has published in prestigious journals such as Physical Review Letters, Nature Communications and Physics Reports.

In The Last Decade

D. V. Senthilkumar

91 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. V. Senthilkumar India 20 1.1k 835 281 134 124 98 1.3k
R. Sevilla-Escoboza Mexico 18 788 0.7× 755 0.9× 261 0.9× 95 0.7× 133 1.1× 49 1.2k
Tanmoy Banerjee India 22 1.2k 1.1× 999 1.2× 282 1.0× 206 1.5× 157 1.3× 99 1.6k
I. Leyva Spain 20 931 0.9× 722 0.9× 538 1.9× 163 1.2× 90 0.7× 65 1.4k
Junzhong Yang China 25 1.2k 1.1× 1.0k 1.3× 280 1.0× 263 2.0× 169 1.4× 154 2.1k
Chittaranjan Hens India 22 823 0.8× 908 1.1× 340 1.2× 100 0.7× 100 0.8× 68 1.5k
Thomas Peron Brazil 14 882 0.8× 568 0.7× 304 1.1× 261 1.9× 62 0.5× 32 1.3k
Yoji Kawamura Japan 19 634 0.6× 437 0.5× 284 1.0× 145 1.1× 84 0.7× 53 1.0k
Zhigang Zheng China 21 1.4k 1.3× 1.2k 1.4× 479 1.7× 283 2.1× 215 1.7× 194 2.0k
I. Sendiña–Nadal Spain 23 1.2k 1.2× 1.0k 1.2× 574 2.0× 214 1.6× 82 0.7× 72 1.8k
Diego Pazó Spain 20 896 0.8× 633 0.8× 371 1.3× 191 1.4× 92 0.7× 51 1.2k

Countries citing papers authored by D. V. Senthilkumar

Since Specialization
Citations

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

Fields of papers citing papers by D. V. Senthilkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. V. Senthilkumar. 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 D. V. Senthilkumar. The network helps show where D. V. Senthilkumar may publish in the future.

Co-authorship network of co-authors of D. V. Senthilkumar

This figure shows the co-authorship network connecting the top 25 collaborators of D. V. Senthilkumar. A scholar is included among the top collaborators of D. V. Senthilkumar 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 D. V. Senthilkumar. D. V. Senthilkumar 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.
Chandrasekar, V. K., et al.. (2025). Chimera states in a globally coupled bipartite network with higher-order interaction. Chaos Solitons & Fractals. 192. 116042–116042. 1 indexed citations
2.
Sharma, Ram Avtar, et al.. (2025). Collective dynamics of pulse-coupled swarmalators. Physical review. E. 111(1). 14313–14313. 2 indexed citations
3.
Chandrasekar, V. K., et al.. (2025). Heterogeneous nucleation in a multiplex adaptive network. Physical review. E. 111(5). 54318–54318. 2 indexed citations
4.
Chandrasekar, V. K., et al.. (2025). Dynamics of adaptive network with connection delay and external stimulus. Chaos Solitons & Fractals. 199. 116747–116747.
5.
Chandrasekar, V. K., et al.. (2024). Stimulus-induced dynamical states in an adaptive network with symmetric adaptation. Physical review. E. 110(3). 34217–34217. 2 indexed citations
6.
Chandrasekar, V. K., et al.. (2024). Effect of higher-order interactions on chimera states in two populations of Kuramoto oscillators. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(2). 6 indexed citations
7.
Berner, Rico, et al.. (2024). Disparity-driven heterogeneous nucleation in finite-size adaptive networks. Physical review. E. 109(5). L052301–L052301. 4 indexed citations
8.
Chandrasekar, V. K., et al.. (2024). Higher-order interaction induced chimeralike state in a bipartite network. Physical review. E. 110(3). 34205–34205. 1 indexed citations
9.
Chandrasekar, V. K., et al.. (2024). Effect of heterogeneities in two-populations of globally coupled phase oscillators with higher-order interaction. Chaos Solitons & Fractals. 191. 115849–115849.
10.
Gopal, R., et al.. (2023). Phase transitions in an adaptive network with the global order parameter adaptation. Physical review. E. 108(4). 44307–44307. 7 indexed citations
11.
Zou, Wei, et al.. (2022). Role of limiting dispersal on metacommunity stability and persistence. Physical review. E. 105(3). 34309–34309. 1 indexed citations
12.
Zou, Wei, et al.. (2022). Oscillation quenching in diffusively coupled dynamical networks with inertial effects. Chaos An Interdisciplinary Journal of Nonlinear Science. 32(4). 41102–41102. 3 indexed citations
13.
Chandrasekar, V. K., et al.. (2022). Exotic states induced by coevolving connection weights and phases in complex networks. Physical review. E. 105(3). 34312–34312. 14 indexed citations
14.
Chandrasekar, V. K., et al.. (2022). Metacommunity stability and persistence for predation turnoff in selective patches. Ecological Modelling. 470. 110014–110014. 2 indexed citations
15.
Senthilkumar, D. V., et al.. (2022). Abrupt desynchronization and abrupt transition to π-state in globally coupled oscillator simplexes with contrarians and conformists. Chaos Solitons & Fractals. 167. 113018–113018. 3 indexed citations
16.
Chandrasekar, V. K., et al.. (2021). Nontrivial amplitude death in coupled parity-time-symmetric Liénard oscillators. Physical review. E. 104(5). 54204–54204. 1 indexed citations
17.
Chandrasekar, V. K., et al.. (2021). Metacommunity persistence to environmental change: Stabilizing and destabilizing effects of individual species dispersal. Physical review. E. 104(2). 24202–24202. 2 indexed citations
18.
Chandrasekar, V. K., et al.. (2020). Dynamical robustness in a heterogeneous network of globally coupled nonlinear oscillators. Chaos Solitons & Fractals. 142. 110396–110396. 2 indexed citations
19.
Chandrasekar, V. K., et al.. (2019). Frustration induced transient chaos, fractal and riddled basins in coupled limit cycle oscillators. Communications in Nonlinear Science and Numerical Simulation. 72. 586–599. 12 indexed citations
20.
Biswas, Debabrata, et al.. (2019). Revival and death of oscillation under mean-field coupling: Interplay of intrinsic and extrinsic filtering. Physical review. E. 100(5). 52212–52212. 14 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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