Sannay Mohamad
- Computer Networks and Communications top 2%
- Statistical and Nonlinear Physics top 2%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Topics
- Neural Networks Stability and Synchronization (22 papers)stochastic dynamics and bifurcation (16 papers)Nonlinear Dynamics and Pattern Formation (9 papers)
In The Last Decade
Sannay Mohamad
23 papers receiving 558 citations
Peers
Comparison fields: 5 of 27
- Computer Networks and Communications 527
- Statistical and Nonlinear Physics 303
- Artificial Intelligence 289
- Electrical and Electronic Engineering 94
- Control and Systems Engineering 56
Countries citing papers authored by Sannay Mohamad
This map shows the geographic impact of Sannay Mohamad'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 Sannay Mohamad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sannay Mohamad more than expected).
Fields of papers citing papers by Sannay Mohamad
This network shows the impact of papers produced by Sannay Mohamad. 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 Sannay Mohamad. The network helps show where Sannay Mohamad may publish in the future.
Co-authorship network of co-authors of Sannay Mohamad
This figure shows the co-authorship network connecting the top 25 collaborators of Sannay Mohamad. A scholar is included among the top collaborators of Sannay Mohamad 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 Sannay Mohamad. Sannay Mohamad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 32 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 13 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 9 | |
| 9 | 11 | |
| 10 | Discrete-Time Analogues of Impulsive Cohen-Grossberg Neural Networks with Transmission Delays | 1 |
| 11 | 20 | |
| 12 | Lyapunov Exponents of Convergent Cohen-Grossberg-Type BAM Networks with Delays and Large Impulses | 3 |
| 13 | 26 | |
| 14 | 4 | |
| 15 | 8 | |
| 16 | 96 | |
| 17 | 25 | |
| 18 | 16 | |
| 19 | 10 | |
| 20 | 16 |
About Sannay Mohamad
Sannay Mohamad is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Applied Mathematics, having authored 24 papers that have together received 581 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (22 papers), stochastic dynamics and bifurcation (16 papers) and Nonlinear Dynamics and Pattern Formation (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (303 citations), Computer Networks and Communications (527 citations) and Artificial Intelligence (289 citations). Sannay Mohamad has collaborated with scholars based in Brunei, China and Australia. Frequent co-authors include K. Gopalsamy, Zhenkun Huang, Haydar Akça, Chunhua Feng, Feng Gao, Xue-Zhi Li, Zhengyi Lu, Guorong Cai, Valéry Covachev and Xinghua Wang. Their work appears in journals such as Information Sciences, Journal of the Franklin Institute and Physica D Nonlinear Phenomena.
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.