Aleksandra Faust

2.2k total citations
44 papers, 992 citations indexed

About

Aleksandra Faust is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Aleksandra Faust has authored 44 papers receiving a total of 992 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 22 papers in Computer Vision and Pattern Recognition and 11 papers in Control and Systems Engineering. Recurrent topics in Aleksandra Faust's work include Robotic Path Planning Algorithms (19 papers), Reinforcement Learning in Robotics (19 papers) and Robotics and Sensor-Based Localization (8 papers). Aleksandra Faust is often cited by papers focused on Robotic Path Planning Algorithms (19 papers), Reinforcement Learning in Robotics (19 papers) and Robotics and Sensor-Based Localization (8 papers). Aleksandra Faust collaborates with scholars based in United States, Netherlands and Croatia. Aleksandra Faust's co-authors include Lydia Tapia, Rafael Fierro, Patricio J. Cruz, Ivana Palunko, Hao-Tien Lewis Chiang, Anthony Francis, Marek Fišer, Srivatsan Krishnan, Vijay Janapa Reddi and Wenzhi Cui and has published in prestigious journals such as Bulletin of the Seismological Society of America, Artificial Intelligence and The International Journal of Robotics Research.

In The Last Decade

Aleksandra Faust

40 papers receiving 957 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aleksandra Faust United States	17	440	359	316	299	158	44	992
Haobin Shi China	18	433 1.0×	371 1.0×	227 0.7×	193 0.6×	138 0.9×	91	1.0k
Fendy Santoso Australia	21	283 0.6×	251 0.7×	584 1.8×	379 1.3×	254 1.6×	60	1.0k
Elia Kaufmann Switzerland	14	615 1.4×	339 0.9×	454 1.4×	527 1.8×	146 0.9×	19	1.3k
Fernando Matı́a Spain	18	269 0.6×	354 1.0×	244 0.8×	278 0.9×	218 1.4×	74	996
Chen‐Chien Hsu Taiwan	15	322 0.7×	186 0.5×	193 0.6×	191 0.6×	75 0.5×	111	810
Swagat Kumar India	14	373 0.8×	168 0.5×	374 1.2×	199 0.7×	187 1.2×	58	886
Xiangyin Zhang China	16	660 1.5×	232 0.6×	198 0.6×	531 1.8×	213 1.3×	60	1.0k
Chao Yan China	12	406 0.9×	264 0.7×	124 0.4×	475 1.6×	302 1.9×	56	853
Stéphane Ross United States	12	367 0.8×	620 1.7×	194 0.6×	212 0.7×	126 0.8×	17	1.0k
Ivana Palunko Croatia	11	388 0.9×	180 0.5×	821 2.6×	402 1.3×	299 1.9×	34	1.3k

Countries citing papers authored by Aleksandra Faust

Since Specialization

Citations

This map shows the geographic impact of Aleksandra Faust'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 Aleksandra Faust with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aleksandra Faust more than expected).

Fields of papers citing papers by Aleksandra Faust

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aleksandra Faust. 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 Aleksandra Faust. The network helps show where Aleksandra Faust may publish in the future.

Co-authorship network of co-authors of Aleksandra Faust

This figure shows the co-authorship network connecting the top 25 collaborators of Aleksandra Faust. A scholar is included among the top collaborators of Aleksandra Faust 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 Aleksandra Faust. Aleksandra Faust is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Sun, Luning, et al.. (2025). A psychometric framework for evaluating and shaping personality traits in large language models. Nature Machine Intelligence. 7(12). 1954–1968.

Krishnan, Srivatsan, et al.. (2023). ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design. 1–16. 5 indexed citations

Gür, İzzeddin, Ofir Nachum, Yingjie Miao, et al.. (2023). Understanding HTML with Large Language Models. 2803–2821. 15 indexed citations

Carter, Evan C., et al.. (2023). Enhancing Value Estimation Policies by Post-Hoc Symmetry Exploitation in Motion Planning Tasks. 4812–4819.

Shen, Haotian, et al.. (2023). Multi-Agent Reachability Calibration with Conformal Prediction. 6596–6603. 11 indexed citations

Krishnan, Srivatsan, Zishen Wan, Kshitij Bhardwaj, et al.. (2022). Automatic Domain-Specific SoC Design for Autonomous Unmanned Aerial Vehicles. 300–317. 27 indexed citations

Plancher, Brian, Srivatsan Krishnan, Colby Banbury, et al.. (2022). Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots. Research Repository (Delft University of Technology). 296–299. 23 indexed citations

Wang, Su, Vighnesh Birodkar, Aleksandra Faust, et al.. (2022). Less is More: Generating Grounded Navigation Instructions from Landmarks. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 15407–15417. 24 indexed citations

Gür, İzzeddin, Natasha Jaques, Yingjie Miao, et al.. (2022). Environment Generation for Zero-Shot Compositional Reinforcement Learning. arXiv (Cornell University). 34. 4 indexed citations

10.

Krishnan, Srivatsan, et al.. (2021). The Role of Compute in Autonomous Micro Aerial Vehicles: Optimizing for Mission Time and Energy Efficiency. ACM Transactions on Computer Systems. 39(1-4). 1–44. 8 indexed citations

11.

Miao, Yingjie, Daiyi Peng, Esteban Real, et al.. (2021). Evolving Reinforcement Learning Algorithms. arXiv (Cornell University). 8 indexed citations

12.

Krishnan, Srivatsan, et al.. (2021). Air Learning: a deep reinforcement learning gym for autonomous aerial robot visual navigation. Machine Learning. 110(9). 2501–2540. 26 indexed citations

13.

Chow, Yinlam, Ofir Nachum, Aleksandra Faust, Edgar A. Duéñez‐Guzmán, & Mohammad Ghavamzadeh. (2020). Safe Policy Learning for Continuous Control. 801–821. 3 indexed citations

14.

Krishnan, Srivatsan, Zishen Wan, Kshitij Bhardwaj, et al.. (2020). The Sky Is Not the Limit: A Visual Performance Model for Cyber-Physical Co-Design in Autonomous Machines. IEEE Computer Architecture Letters. 19(1). 38–42. 27 indexed citations

15.

Krishnan, Srivatsan, Jonathan Cruz, Colby Banbury, et al.. (2019). Learning to Seek: Deep Reinforcement Learning for Phototaxis of a Nano Drone in an Obstacle Field. arXiv (Cornell University). 4 indexed citations

16.

Ichter, Brian, et al.. (2019). Neural Collision Clearance Estimator for Fast Robot Motion Planning.. arXiv (Cornell University). 7 indexed citations

17.

Chiang, Hao-Tien Lewis, Aleksandra Faust, Marek Fišer, & Anthony Francis. (2019). Learning Navigation Behaviors End-to-End With AutoRL. IEEE Robotics and Automation Letters. 4(2). 2007–2014. 136 indexed citations

18.

Chiang, Hao-Tien Lewis, Aleksandra Faust, Marek Fišer, & Anthony Francis. (2018). Learning Navigation Behaviors End to End.. arXiv (Cornell University). 4 indexed citations

19.

Faust, Aleksandra, et al.. (2015). Preference-balancing motion planning under stochastic disturbances. 32. 3555–3562. 5 indexed citations

20.

Faust, Aleksandra, Ivana Palunko, Patricio J. Cruz, Rafael Fierro, & Lydia Tapia. (2014). Automated aerial suspended cargo delivery through reinforcement learning. Artificial Intelligence. 247. 381–398. 132 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.

Explore authors with similar magnitude of impact