V. K. Chandrasekar

2.3k citations
167 papers · 1.6k indexed · h-index 21
Topics
Nonlinear Dynamics and Pattern Formation (77 papers)Nonlinear Waves and Solitons (33 papers)stochastic dynamics and bifurcation (27 papers)

In The Last Decade

V. K. Chandrasekar

155 papers receiving 1.6k citations

Peers

V. K. Chandrasekar
Comparison fields: 5 of 78
  • Computer Networks and Communications 963
  • Statistical and Nonlinear Physics 958
  • Cognitive Neuroscience 406
  • Biomedical Engineering 324
  • Atomic and Molecular Physics, and Optics 307
Replace Alidou Mohamadou with:
Alidou Mohamadou Cameroon
S. Rajasekar India
William C. Troy United States
Stephan A. van Gils Netherlands
Serhiy Yanchuk Germany
В. Н. Белых Russia
Valentin Afraimovich Mexico
S. P. Hastings United States
Paul Glendinning United Kingdom
Matthias Wolfrum Germany
V. K. Chandrasekar relative to Alidou Mohamadou Cameroon Alidou Mohamadou's profile →
Citations per field
00.5×2.7×
Alidou Mohamadou · 1×
Citations per year

Countries citing papers authored by V. K. Chandrasekar

Since Specialization
Citations

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

Fields of papers citing papers by V. K. Chandrasekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. K. Chandrasekar

This figure shows the co-authorship network connecting the top 25 collaborators of V. K. Chandrasekar. A scholar is included among the top collaborators of V. K. Chandrasekar 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 V. K. Chandrasekar. V. K. Chandrasekar 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
#WorkIndexed citations
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6 0
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11 0
12 7
13 1
14 14
15 2
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20 12

About V. K. Chandrasekar

V. K. Chandrasekar is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation and Computer Networks and Communications, having authored 167 papers that have together received 1.6k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (77 papers), Nonlinear Waves and Solitons (33 papers) and stochastic dynamics and bifurcation (27 papers). The work is most often cited by research in Statistical and Nonlinear Physics (958 citations), Computer Networks and Communications (963 citations) and Modeling and Simulation (136 citations). V. K. Chandrasekar has collaborated with scholars based in India, United States and Germany. Frequent co-authors include M. Lakshmanan, M. Senthilvelan, R. Gopal, D. V. Senthilkumar, A. Venkatesan, Anjan Kundu, Aneta Stefanovska, Jürgen Kurths, P. V. E. McClintock and Sundararaman Rajagopalan. Their work appears in journals such as Physical Review Letters, Journal of Applied Physics and Journal of Theoretical Biology.

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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