G. Ray
- Control and Systems Engineering top 1%
- Electrical and Electronic Engineering top 10%
- Computer Networks and Communications top 5%
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Sudipta MukhopadhyayK. K. RamakrishnanSandip GhoshRajeeb DeyAnjan RakshitSiddhartha SenMichael GasperiP. Schmidt
- Topics
- Stability and Control of Uncertain Systems (37 papers)Neural Networks Stability and Synchronization (20 papers)Matrix Theory and Algorithms (14 papers)
- Journals
- IEEE Transactions on Automatic ControlIEEE Transactions on Industrial ElectronicsAutomatica
- Partner nations
- IndiaUnited StatesSerbia
In The Last Decade
G. Ray
61 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 86
- Control and Systems Engineering 764
- Electrical and Electronic Engineering 435
- Computer Networks and Communications 284
- Cognitive Neuroscience 268
- Cellular and Molecular Neuroscience 127
Countries citing papers authored by G. Ray
This map shows the geographic impact of G. Ray'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 G. Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Ray more than expected).
Fields of papers citing papers by G. Ray
This network shows the impact of papers produced by G. Ray. 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 G. Ray. The network helps show where G. Ray may publish in the future.
Co-authorship network of co-authors of G. Ray
This figure shows the co-authorship network connecting the top 25 collaborators of G. Ray. A scholar is included among the top collaborators of G. Ray 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 G. Ray. G. Ray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 45 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 20 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 20 | |
| 12 | 2 | |
| 13 | 0 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 287 | |
| 18 | 18 | |
| 19 | 1 | |
| 20 | 4 |
About G. Ray
G. Ray is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Computational Theory and Mathematics, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (37 papers), Neural Networks Stability and Synchronization (20 papers) and Matrix Theory and Algorithms (14 papers). The work is most often cited by research in Control and Systems Engineering (764 citations), Cognitive Neuroscience (268 citations) and Computer Networks and Communications (284 citations). G. Ray has collaborated with scholars based in India, United States and Serbia. Frequent co-authors include Sudipta Mukhopadhyay, K. K. Ramakrishnan, Sandip Ghosh, Rajeeb Dey, Anjan Rakshit, Siddhartha Sen, Michael Gasperi, P. Schmidt, Sourav Patra and Sujoy K. Guha. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics and Automatica.
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.