Mehdi Roopaei
- Control and Systems Engineering top 2%
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 2%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Mansoor Zolghadri JahromiPaul RadKim‐Kwang Raymond ChooTsung-Chih LinNavid NorooziBijan Ranjbar-SahraeiSos С. AgaianMing-Che Chen
- Topics
- Chaos control and synchronization (19 papers)Neural Networks and Applications (13 papers)Nonlinear Dynamics and Pattern Formation (8 papers)
- Cited by
- Statistical and Nonlinear PhysicsControl and Systems EngineeringComputer Networks and Communications
- Partner nations
- IranUnited StatesTaiwan
In The Last Decade
Mehdi Roopaei
69 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 119
- Control and Systems Engineering 436
- Computer Networks and Communications 351
- Statistical and Nonlinear Physics 346
- Artificial Intelligence 261
- Computer Vision and Pattern Recognition 188
Countries citing papers authored by Mehdi Roopaei
This map shows the geographic impact of Mehdi Roopaei'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 Mehdi Roopaei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mehdi Roopaei more than expected).
Fields of papers citing papers by Mehdi Roopaei
This network shows the impact of papers produced by Mehdi Roopaei. 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 Mehdi Roopaei. The network helps show where Mehdi Roopaei may publish in the future.
Co-authorship network of co-authors of Mehdi Roopaei
This figure shows the co-authorship network connecting the top 25 collaborators of Mehdi Roopaei. A scholar is included among the top collaborators of Mehdi Roopaei 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 Mehdi Roopaei. Mehdi Roopaei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 12 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | 26 | |
| 12 | 7 | |
| 13 | 7 | |
| 14 | 13 | |
| 15 | 15 | |
| 16 | Adaptive gain fuzzy sliding mode control in uncertain MIMO nonlinear systems | 2 |
| 17 | 32 | |
| 18 | 1 | |
| 19 | Control of the Chaotic Systems by the Linear State Feedback | 1 |
| 20 | 1 |
About Mehdi Roopaei
Mehdi Roopaei is a scholar working on Statistical and Nonlinear Physics, Computer Science Applications and Control and Systems Engineering, having authored 72 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chaos control and synchronization (19 papers), Neural Networks and Applications (13 papers) and Nonlinear Dynamics and Pattern Formation (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (346 citations), Control and Systems Engineering (436 citations) and Computer Networks and Communications (351 citations). Mehdi Roopaei has collaborated with scholars based in Iran, United States and Taiwan. Frequent co-authors include Mansoor Zolghadri Jahromi, Paul Rad, Kim‐Kwang Raymond Choo, Tsung-Chih Lin, Navid Noroozi, Bijan Ranjbar-Sahraei, Sos С. Agaian, Ming-Che Chen, Reza Boostani and Robert John. Their work appears in journals such as Nonlinear Dynamics, Engineering Applications of Artificial Intelligence and Nonlinear Analysis.
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.