A. Venkatesan

1.3k citations
35 papers · 1.1k · h-index 18

Impact in

Papers in

A. Venkatesan

35 papers receiving 1.1k citations

Peers

A. Venkatesan
Comparison fields: 5 of 60
  • Statistical and Nonlinear Physics 860
  • Computer Networks and Communications 694
  • Cognitive Neuroscience 165
  • Mathematical Physics 70
  • Modeling and Simulation 23
Replace Manish Dev Shrimali with:
Manish Dev Shrimali India
Dawid Dudkowski Poland
K. Thamilmaran India
В. В. Астахов Russia
R. Sevilla-Escoboza Mexico
Neelima Gupte India
G. Huerta-Cuéllar Mexico
Galina I. Strelkova Russia
R. Jaimes-Reátegui Mexico
Nataliya Stankevich Russia
A. Venkatesan relative to Manish Dev Shrimali India Manish Dev Shrimali's profile →
Citations per field
00.5×1.5×1.9×
Manish Dev Shrimali · 1×
Citations per year

Countries citing papers authored by A. Venkatesan

Since Specialization
Citations

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

Fields of papers citing papers by A. Venkatesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside A. Venkatesan, 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 A. Venkatesan Line = papers co-authored together A. Venkatesan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004150
2 2014147
3 199767
4 200063
5 201456
6 199953
7 200650
8 201350
9 200348
10 199746
11 200143
12 199841
13 201639
14 200724
15 201823
16 201522
17 202119
18 201717
19 202115
20 201714

About A. Venkatesan

A. Venkatesan is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Cognitive Neuroscience, Artificial Intelligence and Mathematical Physics, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chaos control and synchronization (26 papers), Nonlinear Dynamics and Pattern Formation (24 papers), Quantum chaos and dynamical systems (16 papers), stochastic dynamics and bifurcation (13 papers), Neural dynamics and brain function (4 papers), Cellular Automata and Applications (2 papers), Neural Networks and Applications (2 papers) and Slime Mold and Myxomycetes Research (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (860 citations), Computer Networks and Communications (694 citations), Cognitive Neuroscience (165 citations), Mathematical Physics (70 citations) and Modeling and Simulation (23 citations). A. Venkatesan has collaborated with scholars based in India and United Kingdom. Frequent co-authors include M. Lakshmanan, K. Thamilmaran, R. Gopal, V. K. Chandrasekar, K. Murali, D. V. Senthilkumar, Awadhesh Prasad, Ramakrishna Ramaswamy, S. Parthasarathy and K. Srinivasan. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Chaos Solitons & Fractals, International Journal of Bifurcation and Chaos, Physical review. E and Communications in Nonlinear Science and Numerical Simulation.

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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