Maya Joby
- Control and Systems Engineering top 5%
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 10%
- Computational Theory and Mathematics top 10%
- Artificial Intelligence
- Co-authors
- R. SakthivelSrimanta SantraK. MathiyalaganChoon Ki AhnHamid Reza KarimiS. Marshal AnthoniChao WangB. Kaviarasan
- Topics
- Stability and Control of Uncertain Systems (11 papers)Neural Networks Stability and Synchronization (6 papers)Distributed Control Multi-Agent Systems (4 papers)
- Cited by
- Control and Systems EngineeringComputer Networks and CommunicationsStatistical and Nonlinear Physics
- Partner nations
- IndiaSouth KoreaUnited States
In The Last Decade
Maya Joby
16 papers receiving 435 citations
Peers
Comparison fields: 5 of 46
- Control and Systems Engineering 371
- Computer Networks and Communications 208
- Statistical and Nonlinear Physics 55
- Computational Theory and Mathematics 49
- Artificial Intelligence 42
Countries citing papers authored by Maya Joby
This map shows the geographic impact of Maya Joby'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 Maya Joby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Joby more than expected).
Fields of papers citing papers by Maya Joby
This network shows the impact of papers produced by Maya Joby. 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 Maya Joby. The network helps show where Maya Joby may publish in the future.
Co-authorship network of co-authors of Maya Joby
This figure shows the co-authorship network connecting the top 25 collaborators of Maya Joby. A scholar is included among the top collaborators of Maya Joby 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 Maya Joby. Maya Joby 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 | 1 | |
| 4 | 17 | |
| 5 | 7 | |
| 6 | 21 | |
| 7 | 82 | |
| 8 | 9 | |
| 9 | 40 | |
| 10 | 104 | |
| 11 | 23 | |
| 12 | 3 | |
| 13 | 88 | |
| 14 | 8 | |
| 15 | 34 | |
| 16 | 1 |
About Maya Joby
Maya Joby is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Nephrology, having authored 16 papers that have together received 440 indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (11 papers), Neural Networks Stability and Synchronization (6 papers) and Distributed Control Multi-Agent Systems (4 papers). The work is most often cited by research in Control and Systems Engineering (371 citations), Computer Networks and Communications (208 citations) and Statistical and Nonlinear Physics (55 citations). Maya Joby has collaborated with scholars based in India, South Korea and United States. Frequent co-authors include R. Sakthivel, Srimanta Santra, K. Mathiyalagan, Choon Ki Ahn, Hamid Reza Karimi, S. Marshal Anthoni, Chao Wang, B. Kaviarasan, Peng Shi and M. Sathishkumar. Their work appears in journals such as Information Sciences, Journal of Theoretical Biology 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.