Milad Shahvali
- Computer Networks and Communications top 5%
- Control and Systems Engineering top 5%
- Computational Theory and Mathematics top 5%
- Artificial Intelligence
- Public Health, Environmental and Occupational Health
- Co-authors
- Javad AskariMohammad Bagher Naghibi SistaniKhoshnam ShojaeiHamidreza ModaresNaser ParizMarios M. PolycarpouStelios G. Vrachimis
- Topics
- Adaptive Control of Nonlinear Systems (13 papers)Distributed Control Multi-Agent Systems (10 papers)Neural Networks Stability and Synchronization (9 papers)
- Cited by
- Computer Networks and CommunicationsControl and Systems EngineeringComputational Theory and Mathematics
- Partner nations
- IranCyprusUnited States
In The Last Decade
Milad Shahvali
15 papers receiving 481 citations
Peers
Comparison fields: 5 of 26
- Computer Networks and Communications 377
- Control and Systems Engineering 359
- Computational Theory and Mathematics 91
- Artificial Intelligence 40
- Public Health, Environmental and Occupational Health 40
Countries citing papers authored by Milad Shahvali
This map shows the geographic impact of Milad Shahvali'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 Milad Shahvali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milad Shahvali more than expected).
Fields of papers citing papers by Milad Shahvali
This network shows the impact of papers produced by Milad Shahvali. 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 Milad Shahvali. The network helps show where Milad Shahvali may publish in the future.
Co-authorship network of co-authors of Milad Shahvali
This figure shows the co-authorship network connecting the top 25 collaborators of Milad Shahvali. A scholar is included among the top collaborators of Milad Shahvali 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 Milad Shahvali. Milad Shahvali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 3 | |
| 5 | 17 | |
| 6 | 21 | |
| 7 | 96 | |
| 8 | 39 | |
| 9 | 31 | |
| 10 | 54 | |
| 11 | 43 | |
| 12 | 20 | |
| 13 | 29 | |
| 14 | 71 | |
| 15 | 46 |
About Milad Shahvali
Milad Shahvali is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Computational Theory and Mathematics, having authored 15 papers that have together received 485 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (13 papers), Distributed Control Multi-Agent Systems (10 papers) and Neural Networks Stability and Synchronization (9 papers). The work is most often cited by research in Computer Networks and Communications (377 citations), Control and Systems Engineering (359 citations) and Computational Theory and Mathematics (91 citations). Milad Shahvali has collaborated with scholars based in Iran, Cyprus and United States. Frequent co-authors include Javad Askari, Mohammad Bagher Naghibi Sistani, Khoshnam Shojaei, Hamidreza Modares, Naser Pariz, Marios M. Polycarpou and Stelios G. Vrachimis. Their work appears in journals such as IEEE Transactions on Automatic Control, Neurocomputing 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.