Vignesh Narayanan

771 citations
53 papers · 573 · h-index 11

Impact in

Papers in

Vignesh Narayanan

48 papers receiving 563 citations

Peers

Vignesh Narayanan
Comparison fields: 5 of 63
  • Computational Theory and Mathematics 321
  • Control and Systems Engineering 326
  • Computer Networks and Communications 145
  • Artificial Intelligence 169
  • Electrical and Electronic Engineering 125
Replace Yuling Liang with:
Yuling Liang China
Justin R. Klotz United States
Yanwei Zhao China
Zhijian Cheng China
Yingjiang Zhou China
Carlo Savorgnan Italy
Gunther Reißig Germany
Ker‐Wei Yu Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Vignesh Narayanan

Since Specialization
Citations

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

Fields of papers citing papers by Vignesh Narayanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vignesh Narayanan, 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 Vignesh Narayanan Line = papers co-authored together Vignesh Narayanan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201778
2 201860
3 201758
4 201856
5 201756
6 202039
7 201529
8 201820
9 201618
10 202013
11 201612
12 201910
13 20209
14 20168
15 20158
16 20177
17 20236
18 20226
19 20176
20 20185

About Vignesh Narayanan

Vignesh Narayanan is a scholar working on Computational Theory and Mathematics, Control and Systems Engineering, Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 53 papers that have together received 573 indexed citations. Recurring topics across this work include Adaptive Dynamic Programming Control (29 papers), Adaptive Control of Nonlinear Systems (19 papers), Stability and Control of Uncertain Systems (13 papers), Reinforcement Learning in Robotics (7 papers), Frequency Control in Power Systems (5 papers), Neural Networks Stability and Synchronization (5 papers), Neural Networks and Applications (4 papers) and Neural dynamics and brain function (4 papers). The work is most often cited by research in Computational Theory and Mathematics (321 citations), Control and Systems Engineering (326 citations), Computer Networks and Communications (145 citations), Artificial Intelligence (169 citations) and Electrical and Electronic Engineering (125 citations). Vignesh Narayanan has collaborated with scholars based in United States, India and Taiwan. Frequent co-authors include S. Jagannathan, Avimanyu Sahoo, K. Ramkumar, Koshy George, Jr-Shin Li, Hamidreza Modares, Frank L. Lewis, Subbarao Kambhampati, Yu Zhang and S. Jagannathan. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, Neural Networks, Scientific Reports and IEEE Transactions on Automatic Control.

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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