Alexander Amini
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Aerospace Engineering top 5%
- Automotive Engineering top 5%
- Control and Systems Engineering top 5%
- Topics
- Autonomous Vehicle Technology and Safety (9 papers)Reinforcement Learning in Robotics (7 papers)Adversarial Robustness in Machine Learning (5 papers)
- Journals
- International Journal of Radiation Oncology*Biology*PhysicsIEEE Transactions on RoboticsACS Central Science
- Partner nations
- United StatesAustriaCanada
In The Last Decade
Alexander Amini
29 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Computer Vision and Pattern Recognition 623
- Artificial Intelligence 384
- Aerospace Engineering 304
- Automotive Engineering 299
- Control and Systems Engineering 210
Countries citing papers authored by Alexander Amini
This map shows the geographic impact of Alexander Amini'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 Alexander Amini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Amini more than expected).
Fields of papers citing papers by Alexander Amini
This network shows the impact of papers produced by Alexander Amini. 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 Alexander Amini. The network helps show where Alexander Amini may publish in the future.
Co-authorship network of co-authors of Alexander Amini
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Amini. A scholar is included among the top collaborators of Alexander Amini 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 Alexander Amini. Alexander Amini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 1 | |
| 3 | 33 | |
| 4 | 4 | |
| 5 | 62 | |
| 6 | 12 | |
| 7 | 69 | |
| 8 | 8 | |
| 9 | 13 | |
| 10 | 119 | |
| 11 | 30 | |
| 12 | 26 | |
| 13 | 140 | |
| 14 | Deep Orientation Uncertainty Learning based on a Bingham Loss | 26 |
| 15 | 1 | |
| 16 | 6 | |
| 17 | 10 | |
| 18 | 9 | |
| 19 | 9 | |
| 20 | 12 |
About Alexander Amini
Alexander Amini is a scholar working on Automotive Engineering, Instrumentation and Artificial Intelligence, having authored 29 papers that have together received 1.6k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (9 papers), Reinforcement Learning in Robotics (7 papers) and Adversarial Robustness in Machine Learning (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (623 citations), Automotive Engineering (299 citations) and Transportation (98 citations). Alexander Amini has collaborated with scholars based in United States, Austria and Canada. Frequent co-authors include Daniela Rus, Zhijian Liu, Song Han, Huizi Mao, Haotian Tang, Xinyu Yang, Ramin Hasani, Mathias Lechner, Sertaç Karaman and Radu Grosu. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, IEEE Transactions on Robotics and ACS Central Science.
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.