G. Ray

1.5k citations
61 papers · 1.3k · h-index 18

Impact in

Papers in

G. Ray

60 papers receiving 1.2k citations

Peers

G. Ray
Comparison fields: 5 of 83
  • Control and Systems Engineering 767
  • Cognitive Neuroscience 266
  • Computer Networks and Communications 293
  • Signal Processing 109
  • Electrical and Electronic Engineering 449
Replace Chao Huang with:
Chao Huang China
Kostas S. Tsakalis United States
A. A. Louis Beex United States
Yorgo İstefanopulos Türkiye
Yanqiu Che China
Éric Grivel France
Hen‐Wai Tsao Taiwan
Etem Köklükaya Türkiye
Weili Yan China
Douglas R. Frey United States
G. Ray relative to Chao Huang China Chao Huang's profile →
Citations per field
00.5×2×4×6×8.2×
Chao Huang · 1×
Citations per year

Countries citing papers authored by G. Ray

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside G. Ray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G. Ray Line = papers co-authored together G. Ray links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998311
2 2012125
3 2002103
4 200972
5 201569
6 201246
7 200946
8 201140
9 201134
10 201133
11 200831
12 199430
13 201527
14 200825
15 201223
16 200721
17 201120
18 198320
19 199718
20 201015

About G. Ray

G. Ray is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Computational Theory and Mathematics, Cognitive Neuroscience and Signal Processing, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (36 papers), Neural Networks Stability and Synchronization (21 papers), Matrix Theory and Algorithms (15 papers), Adaptive Control of Nonlinear Systems (11 papers), Stability and Controllability of Differential Equations (8 papers), Frequency Control in Power Systems (7 papers), Microgrid Control and Optimization (6 papers) and Power System Optimization and Stability (6 papers). The work is most often cited by research in Control and Systems Engineering (767 citations), Cognitive Neuroscience (266 citations), Computer Networks and Communications (293 citations), Signal Processing (109 citations) and Electrical and Electronic Engineering (449 citations). G. Ray has collaborated with scholars based in India, United States and Serbia. Frequent co-authors include Sudipta Mukhopadhyay, Kadangode K. Ramakrishnan, Sandip Ghosh, Rajeeb Dey, Anjan Rakshit, Siddhartha Sen, Michael L. Gasperi, Peter B. Schmidt, Sourav Patra and Sujoy Kumar Guha. Their work appears in journals such as Journal of Dynamic Systems Measurement and Control, IET Control Theory and Applications, International Journal of Systems Science, IEEE Transactions on Biomedical Engineering and Journal of the Franklin Institute.

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.

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