D. V. Senthilkumar

1.8k citations
102 papers · 1.4k · h-index 20

Impact in

Papers in

D. V. Senthilkumar

97 papers receiving 1.4k citations

Peers

D. V. Senthilkumar
Comparison fields: 5 of 72
  • Statistical and Nonlinear Physics 875
  • Computer Networks and Communications 1.1k
  • Cognitive Neuroscience 294
  • Endocrine and Autonomic Systems 28
  • Modeling and Simulation 20
Replace Aneta Koseska with:
Aneta Koseska Germany
Natalia Janson United Kingdom
Junzhong Yang China
Manish Dev Shrimali India
Ekkehard Ullner United Kingdom
E.I. Volkov Russia
Zhigang Zheng China
Shuguang Guan China
Per Sebastian Skardal United States
Tanmoy Banerjee India
D. V. Senthilkumar relative to Aneta Koseska Germany Aneta Koseska's profile →
Citations per field
00.5×1.5×
Aneta Koseska · 1×
Citations per year

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-authors

The 25 scholars most cited alongside D. V. Senthilkumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. V. Senthilkumar Line = papers co-authored together D. V. Senthilkumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015123
2 201382
3 202175
4 201355
5 200650
6 200647
7 200840
8 201438
9 200538
10 201837
11 201134
12 201234
13 201831
14 200729
15 201026
16 201224
17 202323
18 200921
19 200920
20 201020

About D. V. Senthilkumar

D. V. Senthilkumar is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Cognitive Neuroscience, Biomedical Engineering and Global and Planetary Change, having authored 102 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (91 papers), stochastic dynamics and bifurcation (37 papers), Chaos control and synchronization (32 papers), Neural dynamics and brain function (25 papers), Neural Networks Stability and Synchronization (19 papers), Slime Mold and Myxomycetes Research (13 papers), Ecosystem dynamics and resilience (9 papers) and Quantum chaos and dynamical systems (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (875 citations), Computer Networks and Communications (1.1k citations), Cognitive Neuroscience (294 citations), Endocrine and Autonomic Systems (28 citations) and Modeling and Simulation (20 citations). D. V. Senthilkumar has collaborated with scholars based in India, Germany and United Kingdom. Frequent co-authors include Jürgen Kurths, M. Lakshmanan, Wei Zou, V. K. Chandrasekar, Meng Zhan, K. Thamilmaran, Aneta Koseska, Jinqiao Duan, Yang Tang and István Z. Kiss. Their work appears in journals such as Physical review. E, Chaos Solitons & Fractals, Chaos An Interdisciplinary Journal of Nonlinear Science, The European Physical Journal Special Topics and Europhysics Letters (EPL).

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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