Amir Rasouli
- Automotive Engineering top 1%
- Computer Vision and Pattern Recognition top 2%
- Safety, Risk, Reliability and Quality top 0.5%
- Building and Construction top 5%
- Social Psychology top 5%
- Co-authors
- Iuliia KotserubaJohn K. TsotsosToni KunićMohsen RohaniJun LuoAmir KavussiChanghe ChenJunrui Zhang
- Topics
- Autonomous Vehicle Technology and Safety (17 papers)Traffic and Road Safety (10 papers)Video Surveillance and Tracking Methods (10 papers)
- Cited by
- Automotive EngineeringSafety, Risk, Reliability and QualityComputer Vision and Pattern Recognition
In The Last Decade
Amir Rasouli
22 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 62
- Automotive Engineering 800
- Computer Vision and Pattern Recognition 608
- Safety, Risk, Reliability and Quality 527
- Building and Construction 212
- Social Psychology 207
Countries citing papers authored by Amir Rasouli
This map shows the geographic impact of Amir Rasouli'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 Amir Rasouli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir Rasouli more than expected).
Fields of papers citing papers by Amir Rasouli
This network shows the impact of papers produced by Amir Rasouli. 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 Amir Rasouli. The network helps show where Amir Rasouli may publish in the future.
Co-authorship network of co-authors of Amir Rasouli
This figure shows the co-authorship network connecting the top 25 collaborators of Amir Rasouli. A scholar is included among the top collaborators of Amir Rasouli 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 Amir Rasouli. Amir Rasouli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 20 | |
| 8 | 1 | |
| 9 | 27 | |
| 10 | 57 | |
| 11 | 19 | |
| 12 | 89 | |
| 13 | 48 | |
| 14 | 19 | |
| 15 | 3 | |
| 16 | 260 | |
| 17 | 17 | |
| 18 | 32 | |
| 19 | 236 | |
| 20 | 148 |
About Amir Rasouli
Amir Rasouli is a scholar working on Automotive Engineering, Safety, Risk, Reliability and Quality and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (17 papers), Traffic and Road Safety (10 papers) and Video Surveillance and Tracking Methods (10 papers). The work is most often cited by research in Automotive Engineering (800 citations), Safety, Risk, Reliability and Quality (527 citations) and Computer Vision and Pattern Recognition (608 citations). Amir Rasouli has collaborated with scholars based in Canada, Sweden and Iran. Frequent co-authors include Iuliia Kotseruba, John K. Tsotsos, Toni Kunić, Mohsen Rohani, Jun Luo, Amir Kavussi, Changhe Chen, Junrui Zhang, Rezaul Karim and Zhen Jiang. Their work appears in journals such as Construction and Building Materials, IEEE Robotics and Automation Letters and IEEE Transactions on Intelligent Vehicles.
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.