S. Saravanan
- Computer Networks and Communications top 5%
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 5%
- Electrical and Electronic Engineering
- Co-authors
- M. Syed AliJinde CaoQuanxin ZhuJ. YogambigaiKeum‐Shik HongR. VadivelNallappan GunasekaranSabri Arik
- Topics
- Neural Networks Stability and Synchronization (34 papers)Stability and Control of Uncertain Systems (18 papers)Distributed Control Multi-Agent Systems (8 papers)
- Cited by
- Computer Networks and CommunicationsStatistical and Nonlinear PhysicsControl and Systems Engineering
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessNeurocomputing
- 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
- Control and Systems Engineering 218
- Artificial Intelligence 141
- Statistical and Nonlinear Physics 131
- Electrical and Electronic Engineering 107
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 of co-authors of S. Saravanan
This figure shows the co-authorship network connecting the top 25 collaborators of S. Saravanan. A scholar is included among the top collaborators of S. Saravanan 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 S. Saravanan. S. Saravanan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 9 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 15 | |
| 10 | 5 | |
| 11 | 45 | |
| 12 | 13 | |
| 13 | 7 | |
| 14 | 37 | |
| 15 | 27 | |
| 16 | 4 | |
| 17 | 21 | |
| 18 | 9 | |
| 19 | 50 | |
| 20 | 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) and Distributed Control Multi-Agent Systems (8 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.