Antonio Loquercio

3.1k total citations · 1 hit paper
27 papers, 1.4k citations indexed

About

Antonio Loquercio is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Antonio Loquercio has authored 27 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 12 papers in Aerospace Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Antonio Loquercio's work include Robotic Path Planning Algorithms (11 papers), Robotics and Sensor-Based Localization (11 papers) and Reinforcement Learning in Robotics (6 papers). Antonio Loquercio is often cited by papers focused on Robotic Path Planning Algorithms (11 papers), Robotics and Sensor-Based Localization (11 papers) and Reinforcement Learning in Robotics (6 papers). Antonio Loquercio collaborates with scholars based in United States, Switzerland and Germany. Antonio Loquercio's co-authors include Davide Scaramuzza, Elia Kaufmann, Carlos R. del‐Blanco, Ana I. Maqueda, Vladlen Koltun, Mattia Segù, Leonard Bauersfeld, Matthias Müller, René Ranftl and Alexey Dosovitskiy and has published in prestigious journals such as Nature, PLoS ONE and IEEE Internet of Things Journal.

In The Last Decade

Antonio Loquercio

24 papers receiving 1.3k citations

Hit Papers

Champion-level drone racing using deep reinforcement lear... 2023 2026 2024 2025 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 →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antonio Loquercio United States 13 711 522 381 229 152 27 1.4k
Igor Gilitschenski United States 22 695 1.0× 688 1.3× 486 1.3× 212 0.9× 307 2.0× 86 1.6k
Jing Yuan China 23 819 1.2× 679 1.3× 122 0.3× 392 1.7× 110 0.7× 103 1.4k
Hanna Kurniawati Australia 14 714 1.0× 426 0.8× 504 1.3× 315 1.4× 114 0.8× 38 1.3k
Tao Yang China 22 935 1.3× 445 0.9× 203 0.5× 67 0.3× 88 0.6× 114 1.5k
Zhidong Deng China 20 505 0.7× 165 0.3× 372 1.0× 170 0.7× 152 1.0× 118 1.4k
Hongkai Yu United States 22 1.3k 1.8× 196 0.4× 438 1.1× 131 0.6× 383 2.5× 85 1.9k
Yuichi Motai United States 20 402 0.6× 197 0.4× 278 0.7× 178 0.8× 97 0.6× 70 1.1k
Dirk Langer United States 11 674 0.9× 365 0.7× 221 0.6× 279 1.2× 569 3.7× 23 1.4k
Yimin Deng China 20 370 0.5× 454 0.9× 170 0.4× 172 0.8× 58 0.4× 69 987

Countries citing papers authored by Antonio Loquercio

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Loquercio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Loquercio

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Loquercio. A scholar is included among the top collaborators of Antonio Loquercio 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 Antonio Loquercio. Antonio Loquercio 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.
Loquercio, Antonio, Siqi Zhou, Lukas Brunke, et al.. (2025). Advancing Reproducibility, Benchmarks, and Education With Remote Sim2real: Remote Simulation to Real Robot Hardware. IEEE Robotics & Automation Magazine. 32(1). 117–123.
2.
Loquercio, Antonio, et al.. (2025). A Learning-Based Quadcopter Controller With Extreme Adaptation. IEEE Transactions on Robotics. 41. 3948–3964. 1 indexed citations
3.
Singh, Himanshu, Antonio Loquercio, Carmelo Sferrazza, et al.. (2025). Hand-Object Interaction Pretraining from Videos. 3352–3360.
4.
Hanover, Drew, Antonio Loquercio, Leonard Bauersfeld, et al.. (2024). Autonomous Drone Racing: A Survey. IEEE Transactions on Robotics. 40. 3044–3067. 37 indexed citations
5.
Loquercio, Antonio, et al.. (2024). Conformal Policy Learning for Sensorimotor Control under Distribution Shifts. 16285–16291. 2 indexed citations
6.
Bajcsy, Andrea, Antonio Loquercio, Ashish Kumar, & Jitendra Malik. (2024). Learning Vision-based Pursuit-Evasion Robot Policies. 9197–9204. 2 indexed citations
7.
Huang, Huang, et al.. (2024). Manipulator as a Tail: Promoting Dynamic Stability for Legged Locomotion. 9712–9719. 3 indexed citations
8.
Dou, Yiming, Fengyu Yang, Yi Liu, Antonio Loquercio, & Andrew Owens. (2024). Tactile-Augmented Radiance Fields. 26519–26529. 12 indexed citations
9.
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 →
10.
Wiedemann, Nina, et al.. (2023). Training Efficient Controllers via Analytic Policy Gradient. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1349–1356. 4 indexed citations
11.
Pfeiffer, Christian, et al.. (2022). Visual attention prediction improves performance of autonomous drone racing agents. PLoS ONE. 17(3). e0264471–e0264471. 21 indexed citations
12.
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
13.
Kaufmann, Elia, Antonio Loquercio, René Ranftl, et al.. (2021). Deep Drone Acrobatics (Extended Abstract). 4780–4783. 1 indexed citations
14.
Loquercio, Antonio, et al.. (2020). Primal-Dual Mesh Convolutional Neural Networks. Zurich Open Repository and Archive (University of Zurich). 33. 952–963. 5 indexed citations
15.
Song, Yunlong, et al.. (2020). Flightmare: a flexible quadrotor simulator. Zurich Open Repository and Archive (University of Zurich). 1147–1157. 9 indexed citations
16.
Loquercio, Antonio, Mattia Segù, & Davide Scaramuzza. (2020). A General Framework for Uncertainty Estimation in Deep Learning. Zurich Open Repository and Archive (University of Zurich). 182 indexed citations
17.
Yang, Yanchao, Antonio Loquercio, Davide Scaramuzza, & Stefano Soatto. (2019). Unsupervised Moving Object Detection via Contextual Information Separation. 879–888. 74 indexed citations
18.
Palossi, Daniele, Antonio Loquercio, Francesco Conti, et al.. (2019). A 64-mW DNN-Based Visual Navigation Engine for Autonomous Nano-Drones. IEEE Internet of Things Journal. 6(5). 8357–8371. 120 indexed citations
19.
Loquercio, Antonio, Ana I. Maqueda, Carlos R. del‐Blanco, & Davide Scaramuzza. (2018). DroNet: Learning to Fly by Driving. IEEE Robotics and Automation Letters. 3(2). 1088–1095. 317 indexed citations
20.
Ye, Yawei, Titus Cieslewski, Antonio Loquercio, & Davide Scaramuzza. (2017). Place recognition in semi-dense maps: Geometric and learning-based approaches. Zurich Open Repository and Archive (University of Zurich). 1–8. 6 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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