Stefan Leutenegger

14.1k total citations · 8 hit papers
78 papers, 8.2k citations indexed

About

Stefan Leutenegger is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology. According to data from OpenAlex, Stefan Leutenegger has authored 78 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Computer Vision and Pattern Recognition, 56 papers in Aerospace Engineering and 21 papers in Geology. Recurrent topics in Stefan Leutenegger's work include Robotics and Sensor-Based Localization (48 papers), Advanced Vision and Imaging (29 papers) and 3D Surveying and Cultural Heritage (21 papers). Stefan Leutenegger is often cited by papers focused on Robotics and Sensor-Based Localization (48 papers), Advanced Vision and Imaging (29 papers) and 3D Surveying and Cultural Heritage (21 papers). Stefan Leutenegger collaborates with scholars based in United Kingdom, Germany and Switzerland. Stefan Leutenegger's co-authors include Roland Siegwart, Margarita Chli, Andrew J. Davison, Paul Furgale, Simon Lynen, Michael Bosse, Ben Glocker, Thomas J. Whelan, John McCormac and Ankur Handa and has published in prestigious journals such as Cement and Concrete Research, ACM Transactions on Graphics and International Journal of Computer Vision.

In The Last Decade

Stefan Leutenegger

71 papers receiving 7.9k citations

Hit Papers

BRISK: Binary Robust invariant scalable keypoints 2011 2026 2016 2021 2011 2014 2015 2016 2017 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Leutenegger United Kingdom 28 5.7k 5.4k 1.6k 1.4k 578 78 8.2k
Margarita Chli Switzerland 31 4.6k 0.8× 4.4k 0.8× 805 0.5× 1.1k 0.8× 496 0.9× 84 6.4k
David W. Murray United Kingdom 36 5.9k 1.0× 5.2k 1.0× 1.3k 0.8× 981 0.7× 476 0.8× 166 8.0k
Shaojie Shen Hong Kong 47 6.9k 1.2× 7.8k 1.4× 1.7k 1.1× 1.7k 1.2× 1.5k 2.6× 177 10.5k
Luca Carlone United States 36 4.4k 0.8× 5.9k 1.1× 1.5k 1.0× 1.7k 1.2× 658 1.1× 116 7.5k
Kostas Daniilidis United States 50 6.6k 1.2× 3.6k 0.7× 650 0.4× 1.4k 0.9× 1.1k 1.9× 216 9.3k
Vincent Lepetit Switzerland 47 9.8k 1.7× 6.3k 1.2× 1.2k 0.8× 642 0.4× 1.3k 2.3× 151 11.9k
Vincent Rabaud United States 9 7.9k 1.4× 4.6k 0.9× 865 0.6× 803 0.6× 296 0.5× 12 9.3k
Larry Matthies United States 48 5.6k 1.0× 5.3k 1.0× 476 0.3× 722 0.5× 722 1.2× 216 8.4k
Tomáš Pajdla Czechia 40 8.5k 1.5× 4.9k 0.9× 941 0.6× 595 0.4× 273 0.5× 158 10.1k
Long Quan China 53 6.6k 1.2× 2.6k 0.5× 1.3k 0.8× 673 0.5× 1.3k 2.2× 359 10.5k

Countries citing papers authored by Stefan Leutenegger

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Leutenegger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Leutenegger

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Leutenegger. A scholar is included among the top collaborators of Stefan Leutenegger 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 Stefan Leutenegger. Stefan Leutenegger 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.
Leutenegger, Stefan, et al.. (2025). FrontierNet: Learning Visual Cues to Explore. IEEE Robotics and Automation Letters. 10(7). 6576–6583.
3.
Dörfler, Kathrin, et al.. (2024). Advancing construction in existing contexts: Prospects and barriers of 3d printing with mobile robots for building maintenance and repair. Cement and Concrete Research. 186. 107656–107656. 9 indexed citations
4.
Xu, Binbin, et al.. (2024). FuncGrasp: Learning Object-Centric Neural Grasp Functions from Single Annotated Example Object. mediaTUM (Technical University of Munich). 1900–1906. 3 indexed citations
5.
Xu, Binbin, et al.. (2024). NeRF-VO: Real-Time Sparse Visual Odometry With Neural Radiance Fields. IEEE Robotics and Automation Letters. 9(8). 7278–7285. 9 indexed citations
6.
Schaefer, Simon, et al.. (2024). Int-HRL: towards intention-based hierarchical reinforcement learning. Neural Computing and Applications. 37(23). 18823–18834.
7.
Leutenegger, Stefan, et al.. (2024). Tightly-Coupled LiDAR-Visual-Inertial SLAM and Large-Scale Volumetric Occupancy Mapping. 18027–18033. 5 indexed citations
8.
Yang, Fan, et al.. (2024). IN-Sight: Interactive Navigation through Sight. Repository for Publications and Research Data (ETH Zurich). 7794–7800. 2 indexed citations
9.
Li, Haolong, et al.. (2024). Event-Based Non-rigid Reconstruction of Low-Rank Parametrized Deformations from Contours. International Journal of Computer Vision. 132(8). 2943–2961.
10.
Zavaglia, Melissa, et al.. (2023). Anthropomorphic Grasping With Neural Object Shape Completion. IEEE Robotics and Automation Letters. 8(12). 8034–8041. 9 indexed citations
11.
Alcantarilla, Pablo F., et al.. (2023). Orientation-Aware Hierarchical, Adaptive-Resolution A* Algorithm for UAV Trajectory Planning. IEEE Robotics and Automation Letters. 8(10). 6723–6730. 8 indexed citations
12.
Ren, Yifei, et al.. (2022). Visual-Inertial Multi-Instance Dynamic SLAM with Object-level Relocalisation. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 11055–11062. 9 indexed citations
13.
Zhi, Shuaifeng, Michael Bloesch, Stefan Leutenegger, & Andrew J. Davison. (2019). SceneCode: Monocular Dense Semantic Reconstruction Using Learned Encoded Scene Representations. 11768–11777. 45 indexed citations
14.
Bloesch, Michael, et al.. (2019). KO-Fusion: Dense Visual SLAM with Tightly-Coupled Kinematic and Odometric Tracking. Spiral (Imperial College London). 4054–4060. 13 indexed citations
15.
Saeedi, Sajad, Wenbin Li, Dimos Tzoumanikas, et al.. (2019). Characterizing Visual Localization and Mapping Datasets. Pure (University of Bath). 6699–6705. 16 indexed citations
16.
Tzoumanikas, Dimos, et al.. (2018). Fully autonomous micro air vehicle flight and landing on a moving target using visual–inertial estimation and model‐predictive control. Journal of Field Robotics. 36(1). 49–77. 22 indexed citations
17.
Zhang, Ketao, Pisak Chermprayong, Dimos Tzoumanikas, et al.. (2018). Bioinspired design of a landing system with soft shock absorbers for autonomous aerial robots. Journal of Field Robotics. 36(1). 230–251. 27 indexed citations
18.
McCormac, John, Ankur Handa, Stefan Leutenegger, & Andrew J. Davison. (2017). SceneNet RGB-D: Can 5M Synthetic Images Beat Generic ImageNet Pre-training on Indoor Segmentation?. Spiral (Imperial College London). 2697–2706. 157 indexed citations
19.
Davison, Andrew J., et al.. (2016). Simultaneous Optical Flow and Intensity Estimation from an Event Camera. Spiral (Imperial College London). 884–892. 171 indexed citations
20.
Oettershagen, Philipp, Amir Melzer, Thomas Mantel, et al.. (2015). A solar-powered hand-launchable UAV for low-altitude multi-day continuous flight. Repository for Publications and Research Data (ETH Zurich). 3986–3993. 77 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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