Vahid Azimirad
- Control and Systems Engineering top 2%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Mechanical Engineering
- Co-authors
- A. NikoobinMohammad Ali BadamchizadehMohammad Ali NazariNazila NikdelMoharam Habibnejad KorayemM. H. KorayemMohammad DaneshMaryam Shoaran
- Topics
- Control and Dynamics of Mobile Robots (13 papers)Robotic Path Planning Algorithms (12 papers)Neuroscience and Neural Engineering (12 papers)
- Partner nations
- IranCanadaUnited Kingdom
In The Last Decade
Vahid Azimirad
45 papers receiving 712 citations
Peers
Comparison fields: 5 of 100
- Control and Systems Engineering 434
- Biomedical Engineering 153
- Computer Vision and Pattern Recognition 150
- Electrical and Electronic Engineering 117
- Mechanical Engineering 109
Countries citing papers authored by Vahid Azimirad
This map shows the geographic impact of Vahid Azimirad'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 Vahid Azimirad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vahid Azimirad more than expected).
Fields of papers citing papers by Vahid Azimirad
This network shows the impact of papers produced by Vahid Azimirad. 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 Vahid Azimirad. The network helps show where Vahid Azimirad may publish in the future.
Co-authorship network of co-authors of Vahid Azimirad
This figure shows the co-authorship network connecting the top 25 collaborators of Vahid Azimirad. A scholar is included among the top collaborators of Vahid Azimirad 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 Vahid Azimirad. Vahid Azimirad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 11 | |
| 5 | 1 | |
| 6 | 32 | |
| 7 | 4 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 24 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 6 | |
| 14 | 3 | |
| 15 | 17 | |
| 16 | 6 | |
| 17 | 82 | |
| 18 | 1 | |
| 19 | 41 | |
| 20 | 49 |
About Vahid Azimirad
Vahid Azimirad is a scholar working on Control and Systems Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 45 papers that have together received 727 indexed citations. Recurring topics across this work include Control and Dynamics of Mobile Robots (13 papers), Robotic Path Planning Algorithms (12 papers) and Neuroscience and Neural Engineering (12 papers). The work is most often cited by research in Control and Systems Engineering (434 citations), Computer Vision and Pattern Recognition (150 citations) and Bioengineering (31 citations). Vahid Azimirad has collaborated with scholars based in Iran, Canada and United Kingdom. Frequent co-authors include A. Nikoobin, Mohammad Ali Badamchizadeh, Mohammad Ali Nazari, Nazila Nikdel, Moharam Habibnejad Korayem, M. H. Korayem, Mohammad Danesh, Maryam Shoaran, Parviz Shahabi and Ali Eslami. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Neurocomputing and Neural Networks.
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.