Aleksandra Faust

40 papers receiving 1.0k citations

Peers

Aleksandra Faust
Comparison fields: 5 of 74
  • Computer Vision and Pattern Recognition 451
  • Control and Systems Engineering 325
  • Aerospace Engineering 304
  • Artificial Intelligence 363
  • Automotive Engineering 86
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Fernando Matı́a Spain
Alexei Makarenko Australia
Anssi Kanervisto Finland
Ching‐Chang Wong Taiwan
Thomas C. Henderson United States
Ashley Hill France
Guanzheng Tan China
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Antonin Raffin Germany
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Citations per year

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-authors

The 25 scholars most cited alongside Aleksandra Faust, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aleksandra Faust Line = papers co-authored together Aleksandra Faust links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019140
2 2014135
3 2013104
4 201776
5 201364
6 201862
7 202251
8 202331
9 202130
10 202228
11 202227
12 202027
13 202225
14 201420
15 202120
16 202318
17 201418
18 202217
19 202016
20 202314

About Aleksandra Faust

Aleksandra Faust is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering and Electrical and Electronic Engineering, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (19 papers), Reinforcement Learning in Robotics (19 papers), Robotics and Sensor-Based Localization (8 papers), Advanced Memory and Neural Computing (6 papers), Autonomous Vehicle Technology and Safety (5 papers), Robot Manipulation and Learning (5 papers), Adaptive Control of Nonlinear Systems (3 papers) and Adaptive Dynamic Programming Control (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (451 citations), Control and Systems Engineering (325 citations), Aerospace Engineering (304 citations), Artificial Intelligence (363 citations) and Automotive Engineering (86 citations). Aleksandra Faust has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Lydia Tapia, Rafael Fierro, Patricio J. Cruz, Ivana Palunko, Hao-Tien Lewis Chiang, Anthony Francis, Marek Fišer, Vijay Janapa Reddi, Srivatsan Krishnan and Wenzhi Cui. Their work appears in journals such as IEEE/CAA Journal of Automatica Sinica, IEEE Robotics and Automation Letters, Nature Machine Intelligence, Bulletin of the Seismological Society of America and ACM Transactions on Computer Systems.

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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