Ali Ajdari Rad
- Statistical and Nonlinear Physics top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Molecular Biology
- Co-authors
- Martin HaslerMahdi JaliliKarim FaezParham MoradiMohammad Ebrahim ShiriSabine SüsstrunkPatrick VandewalleLaurence Meylan
- Topics
- Nonlinear Dynamics and Pattern Formation (4 papers)Neural Networks Stability and Synchronization (4 papers)Gene Regulatory Network Analysis (3 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Journals
- Linear Algebra and its ApplicationsInternational Journal of Circuit Theory and ApplicationsIntelligent Data Analysis
- Partner nations
- SwitzerlandIranFrance
In The Last Decade
Ali Ajdari Rad
12 papers receiving 273 citations
Peers
Comparison fields: 5 of 60
- Statistical and Nonlinear Physics 119
- Computer Networks and Communications 91
- Computer Vision and Pattern Recognition 68
- Artificial Intelligence 59
- Molecular Biology 48
Countries citing papers authored by Ali Ajdari Rad
This map shows the geographic impact of Ali Ajdari Rad'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 Ali Ajdari Rad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Ajdari Rad more than expected).
Fields of papers citing papers by Ali Ajdari Rad
This network shows the impact of papers produced by Ali Ajdari Rad. 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 Ali Ajdari Rad. The network helps show where Ali Ajdari Rad may publish in the future.
Co-authorship network of co-authors of Ali Ajdari Rad
This figure shows the co-authorship network connecting the top 25 collaborators of Ali Ajdari Rad. A scholar is included among the top collaborators of Ali Ajdari Rad 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 Ali Ajdari Rad. Ali Ajdari Rad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 11 | |
| 3 | 47 | |
| 4 | 20 | |
| 5 | 9 | |
| 6 | 2 | |
| 7 | 41 | |
| 8 | 6 | |
| 9 | 9 | |
| 10 | 6 | |
| 11 | 33 | |
| 12 | Fast Circle Detection Using Gradient Pair Vectors | 74 |
About Ali Ajdari Rad
Ali Ajdari Rad is a scholar working on Statistical and Nonlinear Physics, Media Technology and Computer Networks and Communications, having authored 12 papers that have together received 285 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (4 papers), Neural Networks Stability and Synchronization (4 papers) and Gene Regulatory Network Analysis (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (119 citations), Computer Networks and Communications (91 citations) and Computer Vision and Pattern Recognition (68 citations). Ali Ajdari Rad has collaborated with scholars based in Switzerland, Iran and France. Frequent co-authors include Martin Hasler, Mahdi Jalili, Karim Faez, Parham Moradi, Mohammad Ebrahim Shiri, Sabine Süsstrunk, Patrick Vandewalle and Laurence Meylan. Their work appears in journals such as Linear Algebra and its Applications, International Journal of Circuit Theory and Applications and Intelligent Data 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.