Elia Kaufmann

2.6k total citations · 3 hit papers
19 papers, 1.3k citations indexed

About

Elia Kaufmann is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Elia Kaufmann has authored 19 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 9 papers in Aerospace Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Elia Kaufmann's work include Robotic Path Planning Algorithms (12 papers), Robotics and Sensor-Based Localization (9 papers) and Reinforcement Learning in Robotics (5 papers). Elia Kaufmann is often cited by papers focused on Robotic Path Planning Algorithms (12 papers), Robotics and Sensor-Based Localization (9 papers) and Reinforcement Learning in Robotics (5 papers). Elia Kaufmann collaborates with scholars based in Switzerland, United States and Germany. Elia Kaufmann's co-authors include Davide Scaramuzza, Antonio Loquercio, Leonard Bauersfeld, Vladlen Koltun, Yunlong Song, Matthias Müller, Sihao Sun, Philipp Foehn, Titus Cieslewski and Ángel Romero and has published in prestigious journals such as Nature, IEEE Transactions on Robotics and Science Robotics.

In The Last Decade

Elia Kaufmann

19 papers receiving 1.3k citations

Hit Papers

Champion-level drone racing using deep reinforcement lear... 2022 2026 2023 2024 2023 2022 2023 50 100 150 200 250
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. Champion-level drone racing using deep reinforcement learning
    2023 286 citations Elia Kaufmann, Leonard Bauersfeld et al. Nature profile →
  2. A Comparative Study of Nonlinear MPC and Differential-Flatness-Based Control for Quadrotor Agile Flight
    2022 135 citations Sihao Sun, Ángel Romero et al. IEEE Transactions on Robotics profile →
  3. Real-Time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms
    2023 86 citations Tim Salzmann, Elia Kaufmann et al. IEEE Robotics and Automation Letters profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elia Kaufmann Switzerland 14 615 527 454 339 173 19 1.3k
Marin Kobilarov United States 22 568 0.9× 379 0.7× 566 1.2× 195 0.6× 104 0.6× 73 1.3k
Aleksandra Faust United States 17 440 0.7× 299 0.6× 316 0.7× 359 1.1× 81 0.5× 44 992
Shuhuan Wen China 18 515 0.8× 393 0.7× 456 1.0× 173 0.5× 49 0.3× 100 1.2k
Gregor Klančar Slovenia 17 759 1.2× 274 0.5× 812 1.8× 136 0.4× 159 0.9× 68 1.2k
Zikang Su China 18 489 0.8× 841 1.6× 436 1.0× 151 0.4× 69 0.4× 50 1.2k
Lei Zuo China 19 284 0.5× 155 0.3× 508 1.1× 277 0.8× 285 1.6× 73 1.1k
Xiangyin Zhang China 16 660 1.1× 531 1.0× 198 0.4× 232 0.7× 59 0.3× 60 1.0k
Alex Teichman United States 10 639 1.0× 316 0.6× 214 0.5× 229 0.7× 481 2.8× 11 1.3k
Fendy Santoso Australia 21 283 0.5× 379 0.7× 584 1.3× 251 0.7× 47 0.3× 60 1.0k
Vandi Verma United States 15 342 0.6× 288 0.5× 366 0.8× 441 1.3× 41 0.2× 34 1.1k

Countries citing papers authored by Elia Kaufmann

Since Specialization
Citations

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

Fields of papers citing papers by Elia Kaufmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elia Kaufmann

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

All Works

19 of 19 papers shown
1.
Hanover, Drew, Antonio Loquercio, Leonard Bauersfeld, et al.. (2024). Autonomous Drone Racing: A Survey. IEEE Transactions on Robotics. 40. 3044–3067. 37 indexed citations
2.
Kaufmann, Elia, Leonard Bauersfeld, Antonio Loquercio, et al.. (2023). Champion-level drone racing using deep reinforcement learning. Nature. 620(7976). 982–987. 286 indexed citations breakdown →
3.
Salzmann, Tim, et al.. (2023). Real-Time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms. IEEE Robotics and Automation Letters. 8(4). 2397–2404. 86 indexed citations breakdown →
4.
Bauersfeld, Leonard, Elia Kaufmann, & Davide Scaramuzza. (2023). User-Conditioned Neural Control Policies for Mobile Robotics. Zurich Open Repository and Archive (University of Zurich). 1342–1348. 4 indexed citations
5.
Cioffi, Giovanni, Leonard Bauersfeld, Elia Kaufmann, & Davide Scaramuzza. (2023). Learned Inertial Odometry for Autonomous Drone Racing. IEEE Robotics and Automation Letters. 8(5). 2684–2691. 13 indexed citations
6.
Pěnička, Robert, Yunlong Song, Elia Kaufmann, & Davide Scaramuzza. (2022). Learning Minimum-Time Flight in Cluttered Environments. IEEE Robotics and Automation Letters. 7(3). 7209–7216. 38 indexed citations
7.
Kaufmann, Elia, Leonard Bauersfeld, & Davide Scaramuzza. (2022). A Benchmark Comparison of Learned Control Policies for Agile Quadrotor Flight. 2022 International Conference on Robotics and Automation (ICRA). 10504–10510. 48 indexed citations
8.
Foehn, Philipp, Elia Kaufmann, Ángel Romero, et al.. (2022). Agilicious: Open-source and open-hardware agile quadrotor for vision-based flight. Science Robotics. 7(67). eabl6259–eabl6259. 71 indexed citations
9.
Song, Yunlong, et al.. (2022). Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning. Zurich Open Repository and Archive (University of Zurich). 9 indexed citations
10.
Sun, Sihao, Ángel Romero, Philipp Foehn, Elia Kaufmann, & Davide Scaramuzza. (2022). A Comparative Study of Nonlinear MPC and Differential-Flatness-Based Control for Quadrotor Agile Flight. IEEE Transactions on Robotics. 38(6). 3357–3373. 135 indexed citations breakdown →
11.
Song, Yunlong, et al.. (2021). Autonomous Overtaking in Gran Turismo Sport Using Curriculum Reinforcement Learning. 9403–9409. 49 indexed citations
12.
Hanover, Drew, Philipp Foehn, Sihao Sun, Elia Kaufmann, & Davide Scaramuzza. (2021). Performance, Precision, and Payloads: Adaptive Nonlinear MPC for Quadrotors. arXiv (Cornell University). 86 indexed citations
13.
Loquercio, Antonio, Elia Kaufmann, René Ranftl, et al.. (2021). Learning high-speed flight in the wild. Zurich Open Repository and Archive (University of Zurich). 22 indexed citations
14.
Kaufmann, Elia, Antonio Loquercio, René Ranftl, et al.. (2021). Deep Drone Acrobatics (Extended Abstract). 4780–4783. 1 indexed citations
15.
Song, Yunlong, et al.. (2021). Autonomous Drone Racing with Deep Reinforcement Learning. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 1205–1212. 128 indexed citations
16.
Song, Yunlong, et al.. (2020). Flightmare: a flexible quadrotor simulator. Zurich Open Repository and Archive (University of Zurich). 1147–1157. 9 indexed citations
17.
Loquercio, Antonio, Elia Kaufmann, René Ranftl, et al.. (2019). Deep Drone Racing: From Simulation to Reality With Domain Randomization. IEEE Transactions on Robotics. 36(1). 1–14. 161 indexed citations
18.
Cieslewski, Titus, Elia Kaufmann, & Davide Scaramuzza. (2017). Rapid exploration with multi-rotors: A frontier selection method for high speed flight. Zurich Open Repository and Archive (University of Zurich). 2135–2142. 148 indexed citations
19.
Entel, P., S. N. Behera, J. Zieliński, & Elia Kaufmann. (1991). MODELS OF CORRELATED FERMIONS IN THE SLAVE BOSON APPROXIMATION FOR THE COPPER OXIDE SYSTEMS. International Journal of Modern Physics B. 5(01n02). 271–287. 5 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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