S. Saravanan
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- Neural Networks Stability and Synchronization 34
- Distributed Control Multi-Agent Systems 8
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- stochastic dynamics and bifurcation 5
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- Stability and Control of Uncertain Systems 18
- Modeling and Simulation top 10%
- Artificial Intelligence top 10%
- Neural Networks and Applications 8
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- Matrix Theory and Algorithms 6
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- Advanced Memory and Neural Computing 5
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- Elasticity and Wave Propagation 4
- Co-authors
- M. Syed AliJinde CaoQuanxin ZhuJ. YogambigaiKeum‐Shik HongR. VadivelNallappan GunasekaranSabri Arik
- Cited by
- Computer Networks and CommunicationsStatistical and Nonlinear PhysicsControl and Systems Engineering
- Journals
- SHILAP Revista de lepidopterología (1 paper)IEEE Access (1 paper)Neurocomputing (4 papers)
- Partner nations
- IndiaSaudi ArabiaThailand
In The Last Decade
S. Saravanan
35 papers receiving 507 citations
Peers
Comparison fields: 5 of 36
- Computer Networks and Communications 418
- Statistical and Nonlinear Physics 131
- Control and Systems Engineering 218
- Modeling and Simulation 27
- Artificial Intelligence 141
Countries citing papers authored by S. Saravanan
This map shows the geographic impact of S. Saravanan'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 S. Saravanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Saravanan more than expected).
Fields of papers citing papers by S. Saravanan
This network shows the impact of papers produced by S. Saravanan. 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 S. Saravanan. The network helps show where S. Saravanan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside S. Saravanan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 1 | |
| 9 | 2021 | 15 | |
| 10 | 2020 | 5 | |
| 11 | 2018 | 45 | |
| 12 | 2018 | 13 | |
| 13 | 2018 | 7 | |
| 14 | 2017 | 37 | |
| 15 | 2017 | 27 | |
| 16 | 2016 | 4 | |
| 17 | 2016 | 21 | |
| 18 | 2016 | 9 | |
| 19 | 2015 | 50 | |
| 20 | 2002 | 0 |
About S. Saravanan
S. Saravanan is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Numerical Analysis, having authored 40 papers that have together received 512 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (34 papers), Stability and Control of Uncertain Systems (18 papers), Distributed Control Multi-Agent Systems (8 papers), Neural Networks and Applications (8 papers), Matrix Theory and Algorithms (6 papers), Advanced Memory and Neural Computing (5 papers), stochastic dynamics and bifurcation (5 papers) and Elasticity and Wave Propagation (4 papers). The work is most often cited by research in Computer Networks and Communications (418 citations), Statistical and Nonlinear Physics (131 citations) and Control and Systems Engineering (218 citations). S. Saravanan has collaborated with scholars based in India, Saudi Arabia and Thailand. Frequent co-authors include M. Syed Ali, Jinde Cao, Quanxin Zhu, J. Yogambigai, Keum‐Shik Hong, R. Vadivel, Nallappan Gunasekaran, Sabri Arik, Gyu M. Lee and Tasawar Hayat. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Neurocomputing.
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.