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.
Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age
20162.2k citationsDavide Scaramuzza et al.Zurich Open Repository and Archive (University of Zurich)profile →
SVO: Fast semi-direct monocular visual odometry
20141.4k citationsMatia Pizzoli, Davide Scaramuzza et al.Zurich Open Repository and Archive (University of Zurich)profile →
Visual Odometry [Tutorial]
2011994 citationsDavide Scaramuzza et al.profile →
On-Manifold Preintegration for Real-Time Visual--Inertial Odometry
2016975 citationsDavide Scaramuzza et al.IEEE Transactions on Roboticsprofile →
SVO: Semidirect Visual Odometry for Monocular and Multicamera Systems
2016608 citationsDavide Scaramuzza et al.IEEE Transactions on Roboticsprofile →
A Tutorial on Quantitative Trajectory Evaluation for Visual(-Inertial) Odometry
2018444 citationsDavide Scaramuzza et al.Zurich Open Repository and Archive (University of Zurich)profile →
Event-Based Vision: A Survey
2020417 citationsGuillermo Gallego, Tobi Delbrück et al.Zurich Open Repository and Archive (University of Zurich)profile →
A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots
2015414 citationsMatthias Faessler, Davide Scaramuzza et al.IEEE Robotics and Automation Lettersprofile →
Visual Odometry : Part II: Matching, Robustness, Optimization, and Applications
2012409 citationsDavide Scaramuzza et al.profile →
A novel parametrization of the perspective-three-point problem for a direct computation of absolute camera position and orientation
2011356 citationsDavide Scaramuzza, Roland Siegwart et al.profile →
IMU Preintegration on Manifold for Efficient Visual-Inertial Maximum-a-Posteriori Estimation
2015339 citationsChristian Förster, Davide Scaramuzza et al.Zurich Open Repository and Archive (University of Zurich)profile →
Vision based MAV navigation in unknown and unstructured environments
2010311 citationsDavide Scaramuzza, Roland Siegwart et al.profile →
Monocular‐SLAM–based navigation for autonomous micro helicopters in GPS‐denied environments
2011309 citationsDavide Scaramuzza, Roland Siegwart et al.profile →
Champion-level drone racing using deep reinforcement learning
2023286 citationsElia Kaufmann, Leonard Bauersfeld et al.profile →
A Benchmark Comparison of Monocular Visual-Inertial Odometry Algorithms for Flying Robots
2018282 citationsDavide Scaramuzza et al.Zurich Open Repository and Archive (University of Zurich)profile →
Differential Flatness of Quadrotor Dynamics Subject to Rotor Drag for Accurate Tracking of High-Speed Trajectories
2017263 citationsMatthias Faessler, Davide Scaramuzza et al.IEEE Robotics and Automation Lettersprofile →
The current state and future outlook of rescue robotics
2019228 citationsRoland Siegwart, Davide Scaramuzza et al.profile →
Dynamic obstacle avoidance for quadrotors with event cameras
2020210 citationsDavide Falanga, Davide Scaramuzza et al.Science Roboticsprofile →
A Comparative Study of Nonlinear MPC and Differential-Flatness-Based Control for Quadrotor Agile Flight
2022135 citationsÁngel Romero, Elia Kaufmann et al.IEEE Transactions on Roboticsprofile →
Reaching the limit in autonomous racing: Optimal control versus reinforcement learning
2023109 citationsYunlong Song, Ángel Romero et al.Science Roboticsprofile →
Real-Time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms
202386 citationsElia Kaufmann, Davide Scaramuzza et al.IEEE Robotics and Automation Lettersprofile →
Countries citing papers authored by Davide Scaramuzza
Since
Specialization
Citations
This map shows the geographic impact of Davide Scaramuzza'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 Davide Scaramuzza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Scaramuzza more than expected).
Fields of papers citing papers by Davide Scaramuzza
This network shows the impact of papers produced by Davide Scaramuzza. 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 Davide Scaramuzza. The network helps show where Davide Scaramuzza may publish in the future.
Co-authorship network of co-authors of Davide Scaramuzza
This figure shows the co-authorship network connecting the top 25 collaborators of Davide Scaramuzza.
A scholar is included among the top collaborators of Davide Scaramuzza 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 Davide Scaramuzza. Davide Scaramuzza is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Billard, Aude, Alin Albu‐Schäffer, Michael Beetz, et al.. (2025). A roadmap for AI in robotics. Nature Machine Intelligence. 7(6). 818–824.1 indexed citations
Hanover, Drew, Antonio Loquercio, Leonard Bauersfeld, et al.. (2024). Autonomous Drone Racing: A Survey. IEEE Transactions on Robotics. 40. 3044–3067.37 indexed citations
Sanket, Nitin J., et al.. (2019). EVDodge: Embodied AI For High-Speed Dodging On A Quadrotor Using Event Cameras.. arXiv (Cornell University).9 indexed citations
14.
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
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.