R. Saravanakumar

1.7k citations
78 papers · 1.4k · h-index 26

Impact in

Papers in

R. Saravanakumar

65 papers receiving 1.4k citations

Peers

R. Saravanakumar
Comparison fields: 5 of 62
  • Computer Networks and Communications 1.1k
  • Control and Systems Engineering 777
  • Statistical and Nonlinear Physics 240
  • Artificial Intelligence 325
  • Computational Theory and Mathematics 144
Replace S. Lakshmanan with:
S. Lakshmanan India
Shenping Xiao China
Hanyong Shao China
Rongni Yang China
R. Manivannan India
Wenjun Xiong China
R. Samidurai India
Dongbing Tong China
Chao Ge China
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Citations per field
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Citations per year

Countries citing papers authored by R. Saravanakumar

Since Specialization
Citations

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

Fields of papers citing papers by R. Saravanakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016114
2 201584
3 201584
4 201782
5 202168
6 201859
7 201550
8 201945
9 201643
10 201639
11 201438
12 201638
13 201737
14 201737
15 201436
16 201832
17 201631
18 202031
19 202131
20 201529

About R. Saravanakumar

R. Saravanakumar is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Electrical and Electronic Engineering, Artificial Intelligence and Computational Theory and Mathematics, having authored 78 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (52 papers), Stability and Control of Uncertain Systems (41 papers), Advanced Memory and Neural Computing (16 papers), Matrix Theory and Algorithms (15 papers), Distributed Control Multi-Agent Systems (11 papers), Neural Networks and Applications (11 papers), Elasticity and Wave Propagation (7 papers) and Network Security and Intrusion Detection (5 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Control and Systems Engineering (777 citations), Statistical and Nonlinear Physics (240 citations), Artificial Intelligence (325 citations) and Computational Theory and Mathematics (144 citations). R. Saravanakumar has collaborated with scholars based in India, Japan and South Korea. Frequent co-authors include M. Syed Ali, Hamid Reza Karimi, Choon Ki Ahn, Grienggrai Rajchakit, Jinde Cao, Young Hoon Joo, Sabri Arik, Nallappan Gunasekaran, R. Vadivel and Quanxin Zhu. Their work appears in journals such as Neural Computing and Applications, Neurocomputing, International Journal of Systems Science, Information Sciences and IEEE Transactions on Neural Networks and Learning Systems.

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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