S. Lakshmanan
- Computer Networks and Communications top 0.5%
- Control and Systems Engineering top 0.5%
- Statistical and Nonlinear Physics top 0.5%
- Electrical and Electronic Engineering top 5%
- Artificial Intelligence top 2%
- Co-authors
- R. RakkiyappanP. BalasubramaniamYoung Hoon JooPrakash ManiFathalla A. RihanJu H. ParkSaeid NahavandiChee Peng Lim
- Topics
- Neural Networks Stability and Synchronization (65 papers)Stability and Control of Uncertain Systems (36 papers)Nonlinear Dynamics and Pattern Formation (17 papers)
- Cited by
- Computer Networks and CommunicationsStatistical and Nonlinear PhysicsModeling and Simulation
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsInformation Sciences
- Partner nations
- IndiaSouth KoreaAustralia
In The Last Decade
S. Lakshmanan
99 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Computer Networks and Communications 2.6k
- Control and Systems Engineering 1.4k
- Statistical and Nonlinear Physics 1.2k
- Electrical and Electronic Engineering 904
- Artificial Intelligence 774
Countries citing papers authored by S. Lakshmanan
This map shows the geographic impact of S. Lakshmanan'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. Lakshmanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Lakshmanan more than expected).
Fields of papers citing papers by S. Lakshmanan
This network shows the impact of papers produced by S. Lakshmanan. 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. Lakshmanan. The network helps show where S. Lakshmanan may publish in the future.
Co-authorship network of co-authors of S. Lakshmanan
This figure shows the co-authorship network connecting the top 25 collaborators of S. Lakshmanan. A scholar is included among the top collaborators of S. Lakshmanan 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. Lakshmanan. S. Lakshmanan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 11 | |
| 5 | 5 | |
| 6 | 19 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | 52 | |
| 10 | 31 | |
| 11 | 187 | |
| 12 | 24 | |
| 13 | 26 | |
| 14 | 10 | |
| 15 | 181 | |
| 16 | 31 | |
| 17 | 26 | |
| 18 | 23 | |
| 19 | 9 | |
| 20 | 86 |
About S. Lakshmanan
S. Lakshmanan is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Statistical and Nonlinear Physics, having authored 104 papers that have together received 3.9k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (65 papers), Stability and Control of Uncertain Systems (36 papers) and Nonlinear Dynamics and Pattern Formation (17 papers). The work is most often cited by research in Computer Networks and Communications (2.6k citations), Statistical and Nonlinear Physics (1.2k citations) and Modeling and Simulation (388 citations). S. Lakshmanan has collaborated with scholars based in India, South Korea and Australia. Frequent co-authors include R. Rakkiyappan, P. Balasubramaniam, Young Hoon Joo, Prakash Mani, Fathalla A. Rihan, Ju H. Park, Saeid Nahavandi, Chee Peng Lim, A. Chandrasekar and Ho-Youl Jung. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Information Sciences.
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.