Alexander Amini

3.0k total citations · 1 hit paper
29 papers, 1.6k citations indexed

About

Alexander Amini is a scholar working on Artificial Intelligence, Automotive Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Alexander Amini has authored 29 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 9 papers in Automotive Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Alexander Amini's work include Autonomous Vehicle Technology and Safety (9 papers), Reinforcement Learning in Robotics (7 papers) and Adversarial Robustness in Machine Learning (5 papers). Alexander Amini is often cited by papers focused on Autonomous Vehicle Technology and Safety (9 papers), Reinforcement Learning in Robotics (7 papers) and Adversarial Robustness in Machine Learning (5 papers). Alexander Amini collaborates with scholars based in United States, Austria and Canada. Alexander Amini's co-authors include Daniela Rus, Zhijian Liu, Song Han, Huizi Mao, Haotian Tang, Xinyu Yang, Ramin Hasani, Mathias Lechner, Sertaç Karaman and Radu Grosu and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, IEEE Transactions on Robotics and ACS Central Science.

In The Last Decade

Alexander Amini

29 papers receiving 1.5k citations

Hit Papers

BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bi... 2023 2026 2024 2025 2023 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
    2023 524 citations Zhijian Liu, Alexander Amini et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alexander Amini United States 16 623 384 304 299 210 29 1.6k
Runsheng Xu United States 19 967 1.6× 428 1.1× 236 0.8× 550 1.8× 286 1.4× 39 2.1k
Du Q. Huynh Australia 22 1.3k 2.1× 482 1.3× 281 0.9× 310 1.0× 175 0.8× 79 2.0k
Wei Hong China 22 881 1.4× 251 0.7× 184 0.6× 302 1.0× 71 0.3× 122 2.0k
Xinming Huang United States 28 895 1.4× 556 1.4× 346 1.1× 338 1.1× 110 0.5× 177 2.6k
Hui Cheng China 28 1.5k 2.4× 322 0.8× 744 2.4× 109 0.4× 890 4.2× 201 3.1k
Xia Li China 27 1.3k 2.1× 653 1.7× 177 0.6× 146 0.5× 168 0.8× 157 2.5k
Bin Song China 31 840 1.3× 602 1.6× 374 1.2× 59 0.2× 169 0.8× 215 2.8k
Meiling Wang China 24 745 1.2× 364 0.9× 433 1.4× 433 1.4× 489 2.3× 225 2.3k

Countries citing papers authored by Alexander Amini

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Ban, Yutong, et al.. (2024). Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models. 6687–6694. 15 indexed citations
2.
3.
Hasani, Ramin, et al.. (2023). Robust flight navigation out of distribution with liquid neural networks. Science Robotics. 8(77). eadc8892–eadc8892. 33 indexed citations
4.
Lechner, Mathias, Alexander Amini, Daniela Rus, & Thomas A. Henzinger. (2023). Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning. IEEE Robotics and Automation Letters. 8(3). 1595–1602. 4 indexed citations
5.
Xiao, Wei, et al.. (2023). BarrierNet: Differentiable Control Barrier Functions for Learning of Safe Robot Control. IEEE Transactions on Robotics. 39(3). 2289–2307. 62 indexed citations
6.
Allen, Ross, et al.. (2022). Interpretable Autonomous Flight Via Compact Visualizable Neural Circuit Policies. IEEE Robotics and Automation Letters. 7(2). 3265–3272. 12 indexed citations
7.
Hasani, Ramin, Mathias Lechner, Alexander Amini, et al.. (2022). Closed-form continuous-time neural networks. Nature Machine Intelligence. 4(11). 992–1003. 69 indexed citations
8.
Ahmadi, Elaheh, et al.. (2022). Identifying and Mitigating Potential Biases in Predicting Drug Approvals. Drug Safety. 45(5). 521–533. 8 indexed citations
9.
Amini, Alexander, et al.. (2022). Learning Interactive Driving Policies via Data-driven Simulation. 2022 International Conference on Robotics and Automation (ICRA). 7745–7752. 13 indexed citations
10.
Hasani, Ramin, Mathias Lechner, Alexander Amini, Daniela Rus, & Radu Grosu. (2021). Liquid Time-constant Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 35(9). 7657–7666. 119 indexed citations
11.
Liu, Zhijian, Alexander Amini, Sibo Zhu, et al.. (2021). Efficient and Robust LiDAR-Based End-to-End Navigation. 13247–13254. 30 indexed citations
12.
Spielberg, Andrew, Alexander Amini, Lillian Chin, Wojciech Matusik, & Daniela Rus. (2021). Co-Learning of Task and Sensor Placement for Soft Robotics. IEEE Robotics and Automation Letters. 6(2). 1208–1215. 26 indexed citations
13.
Amini, Alexander, Igor Gilitschenski, J. M. Phillips, et al.. (2020). Learning Robust Control Policies for End-to-End Autonomous Driving From Data-Driven Simulation. IEEE Robotics and Automation Letters. 5(2). 1143–1150. 140 indexed citations
14.
Schwarting, Wilko, et al.. (2020). Deep Orientation Uncertainty Learning based on a Bingham Loss. International Conference on Learning Representations. 26 indexed citations
15.
Han, Chu, et al.. (2020). Comparative Clinical Evaluation Of Deep-Learning-Based Algorithms In Auto-Segmentation Of Organs-At-Risk For Head And Neck Cancers. International Journal of Radiation Oncology*Biology*Physics. 108(3). e817–e817. 1 indexed citations
16.
Hasani, Ramin, Mathias Lechner, Alexander Amini, Daniela Rus, & Radu Grosu. (2020). The Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits. reposiTUm (TU Wien). 1. 4082–4093. 6 indexed citations
17.
Amini, Alexander, Jeffrey I. Lipton, & Daniela Rus. (2020). Uncertainty Aware Texture Classification and Mapping Using Soft Tactile Sensors. 4249–4256. 10 indexed citations
18.
Gilitschenski, Igor, et al.. (2019). Infrastructure-free NLoS Obstacle Detection for Autonomous Cars. 250–257. 9 indexed citations
19.
Gilitschenski, Igor, Guy Rosman, Alexander Amini, et al.. (2018). ShadowCam: Real-Time Detection of Moving Obstacles Behind A Corner For Autonomous Vehicles. 560–567. 9 indexed citations
20.
Amini, Alexander, et al.. (2018). Learning Steering Bounds for Parallel Autonomous Systems. 4717–4724. 12 indexed citations

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.

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