Marco Camurri

1.3k total citations
23 papers, 681 citations indexed

About

Marco Camurri is a scholar working on Aerospace Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Marco Camurri has authored 23 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Aerospace Engineering, 11 papers in Biomedical Engineering and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Marco Camurri's work include Robotics and Sensor-Based Localization (13 papers), Robotic Locomotion and Control (10 papers) and Indoor and Outdoor Localization Technologies (4 papers). Marco Camurri is often cited by papers focused on Robotics and Sensor-Based Localization (13 papers), Robotic Locomotion and Control (10 papers) and Indoor and Outdoor Localization Technologies (4 papers). Marco Camurri collaborates with scholars based in Italy, United Kingdom and Poland. Marco Camurri's co-authors include Maurice Fallon, David Wisth, Darwin G. Caldwell, Claudio Semini, Victor Barasuol, Rita Cucchiara, Milad Ramezani, Stéphane Bazeille, Roberto Vezzani and Michele Focchi and has published in prestigious journals such as IEEE Transactions on Robotics, IEEE Journal of Oceanic Engineering and Autonomous Robots.

In The Last Decade

Marco Camurri

22 papers receiving 665 citations

Peers

Marco Camurri

CVPR

GEOLO

CSE

Michał Nowicki Poland

Stefan Fuchs Germany

Matthew Antone United States

Joan Solà Spain

Cang Ye United States

Francisco J. Romero-Ramírez Spain

Ivan Dryanovski United States

Abel Gawel Switzerland

Gustavo Freitas Brazil

Renaud Dubé Switzerland

Michał Nowicki Poland

Marco Camurri

285 ×0.8

236 ×0.8

CVPR

152 ×0.6

60 ×0.4

GEOLO

79 ×0.6

CSE

Citations per year, relative to Marco Camurri Marco Camurri (= 1×) peers Michał Nowicki

Countries citing papers authored by Marco Camurri

Since Specialization

Citations

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

Fields of papers citing papers by Marco Camurri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Camurri

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

All Works

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20 of 20 papers shown

Focchi, Michele, et al.. (2025). Smooth Human–Robot Shared Control for Autonomous Orchard Monitoring With UGVs. IEEE Transactions on Automation Science and Engineering. 22. 13603–13620.

Buchanan, Russell, et al.. (2024). 3D Freehand Ultrasound using Visual Inertial and Deep Inertial Odometry for Measuring Patellar Tracking. Institutional Research Information System (Università degli Studi di Trento). 1–6. 2 indexed citations

Ellenrieder, Karl D. von & Marco Camurri. (2024). Relaxed Control Barrier Function Based Control for Closest Approach by Underactuated USVs. IEEE Journal of Oceanic Engineering. 49(4). 1301–1321. 2 indexed citations

Camurri, Marco, et al.. (2023). Factor Graph Fusion of Raw GNSS Sensing with IMU and Lidar for Precise Robot Localization without a Base Station. ORCA Online Research @Cardiff (Cardiff University). 8415–8421. 14 indexed citations

Wisth, David, Marco Camurri, & Maurice Fallon. (2022). VILENS: Visual, Inertial, Lidar, and Leg Odometry for All-Terrain Legged Robots. IEEE Transactions on Robotics. 39(1). 309–326. 100 indexed citations

Nowicki, Michał, et al.. (2022). Unsupervised Learning of Terrain Representations for Haptic Monte Carlo Localization. 2022 International Conference on Robotics and Automation (ICRA). 4642–4648. 3 indexed citations

Helmberger, Michael, et al.. (2022). Hilti-Oxford Dataset: A Millimeter-Accurate Benchmark for Simultaneous Localization and Mapping. IEEE Robotics and Automation Letters. 8(1). 408–415. 45 indexed citations

Wisth, David, et al.. (2021). Unified Multi-Modal Landmark Tracking for Tightly Coupled Lidar-Visual-Inertial Odometry. IEEE Robotics and Automation Letters. 6(2). 1004–1011. 100 indexed citations

Buchanan, Russell, et al.. (2021). Navigating by touch: haptic Monte Carlo localization via geometric sensing and terrain classification. Autonomous Robots. 45(6). 843–857. 16 indexed citations

10.

Camurri, Marco, et al.. (2020). Pronto: A Multi-Sensor State Estimator for Legged Robots in Real-World Scenarios. Frontiers in Robotics and AI. 7. 68–68. 69 indexed citations

11.

Barasuol, Victor, Marco Camurri, Luca Franceschi, et al.. (2019). Fast and Continuous Foothold Adaptation for Dynamic Locomotion Through CNNs. IEEE Robotics and Automation Letters. 4(2). 2140–2147. 48 indexed citations

12.

Barasuol, Victor, Marco Camurri, Michele Focchi, et al.. (2018). Fast and Continuous Foothold Adaptation for Dynamic Locomotion through Convolutional Neural Networks.. 1 indexed citations

13.

Camurri, Marco, Maurice Fallon, Stéphane Bazeille, et al.. (2017). Probabilistic Contact Estimation and Impact Detection for State Estimation of Quadruped Robots. IEEE Robotics and Automation Letters. 2(2). 1023–1030. 66 indexed citations

14.

Camurri, Marco, Victor Barasuol, Michele Focchi, et al.. (2017). Heterogeneous Sensor Fusion for Accurate State Estimation of Dynamic Legged Robots. Institutional Research Information System (Università degli Studi di Trento). 36 indexed citations

15.

Khan, Hamza, Marco Frigerio, Marco Camurri, et al.. (2015). Development of the lightweight hydraulic quadruped robot — MiniHyQ. Discovery Research Portal (University of Dundee). 1–6. 29 indexed citations

16.

Camurri, Marco, Stéphane Bazeille, Darwin G. Caldwell, & Claudio Semini. (2015). Real-time depth and inertial fusion for local SLAM on dynamic legged robots. Institutional Research Information System (Università degli Studi di Trento). 36. 259–264. 7 indexed citations

17.

Bazeille, Stéphane, Jesús Ortiz, Francesco Rovida, et al.. (2015). Active camera stabilization to enhance the vision of agile legged robots. Robotica. 35(4). 942–960. 7 indexed citations

18.

Camurri, Marco, Roberto Vezzani, & Rita Cucchiara. (2014). 3D Hough transform for sphere recognition on point clouds. Machine Vision and Applications. 25(7). 1877–1891. 33 indexed citations

19.

Serra, Giuseppe, et al.. (2013). Hand segmentation for gesture recognition in EGO-vision. IRIS UNIMORE (University of Modena and Reggio Emilia). 31–36. 39 indexed citations

20.

Camurri, Marco, Marco Mamei, & Franco Zambonelli. (2007). Urban Traffic Control with Co-Fields. 4389. 239–253. 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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