S. Dharani
- Computer Networks and Communications top 2%
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- R. RakkiyappanJinde CaoQuanxin ZhuJu H. ParkP. BalasubramaniamAhmed AlsaediYang CaoRobert J. Nowicki
- Topics
- Neural Networks Stability and Synchronization (14 papers)Neural Networks and Applications (10 papers)Stability and Control of Uncertain Systems (7 papers)
- Cited by
- Computer Networks and CommunicationsStatistical and Nonlinear PhysicsControl and Systems Engineering
- Partner nations
- IndiaChinaSaudi Arabia
In The Last Decade
S. Dharani
16 papers receiving 489 citations
Peers
Comparison fields: 5 of 28
- Computer Networks and Communications 439
- Statistical and Nonlinear Physics 176
- Artificial Intelligence 146
- Control and Systems Engineering 144
- Electrical and Electronic Engineering 128
Countries citing papers authored by S. Dharani
This map shows the geographic impact of S. Dharani'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. Dharani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Dharani more than expected).
Fields of papers citing papers by S. Dharani
This network shows the impact of papers produced by S. Dharani. 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. Dharani. The network helps show where S. Dharani may publish in the future.
Co-authorship network of co-authors of S. Dharani
This figure shows the co-authorship network connecting the top 25 collaborators of S. Dharani. A scholar is included among the top collaborators of S. Dharani 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. Dharani. S. Dharani 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 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 11 | |
| 9 | 8 | |
| 10 | 15 | |
| 11 | 0 | |
| 12 | 105 | |
| 13 | 25 | |
| 14 | 25 | |
| 15 | 81 | |
| 16 | 3 | |
| 17 | 40 | |
| 18 | 59 | |
| 19 | 103 |
About S. Dharani
S. Dharani is a scholar working on Computer Networks and Communications, Artificial Intelligence and Control and Systems Engineering, having authored 19 papers that have together received 495 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (14 papers), Neural Networks and Applications (10 papers) and Stability and Control of Uncertain Systems (7 papers). The work is most often cited by research in Computer Networks and Communications (439 citations), Statistical and Nonlinear Physics (176 citations) and Control and Systems Engineering (144 citations). S. Dharani has collaborated with scholars based in India, China and Saudi Arabia. Frequent co-authors include R. Rakkiyappan, Jinde Cao, Quanxin Zhu, Ju H. Park, P. Balasubramaniam, Ahmed Alsaedi, Yang Cao, Robert J. Nowicki, S. Lakshmanan and K. Loganathan. Their work appears in journals such as Scientific Reports, IEEE Transactions on Neural Networks and Learning Systems 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.