Giuseppe Loianno

4.4k total citations
114 papers, 3.1k citations indexed

About

Giuseppe Loianno is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Giuseppe Loianno has authored 114 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Aerospace Engineering, 69 papers in Computer Vision and Pattern Recognition and 25 papers in Control and Systems Engineering. Recurrent topics in Giuseppe Loianno's work include Robotics and Sensor-Based Localization (61 papers), Robotic Path Planning Algorithms (50 papers) and Advanced Vision and Imaging (20 papers). Giuseppe Loianno is often cited by papers focused on Robotics and Sensor-Based Localization (61 papers), Robotic Path Planning Algorithms (50 papers) and Advanced Vision and Imaging (20 papers). Giuseppe Loianno collaborates with scholars based in United States, Italy and Czechia. Giuseppe Loianno's co-authors include Vijay Kumar, Justin Thomas, Martin Saska, Kostas Daniilidis, Koushil Sreenath, Daniel Heřt, Roberto Tron, Camillo J. Taylor, Jan Chudoba and Vojtěch Spurný and has published in prestigious journals such as IEEE Access, IEEE Transactions on Wireless Communications and The International Journal of Robotics Research.

In The Last Decade

Giuseppe Loianno

104 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giuseppe Loianno United States 31 1.9k 1.7k 855 687 404 114 3.1k
Martin Saska Czechia 32 2.0k 1.0× 1.9k 1.1× 797 0.9× 1.1k 1.6× 306 0.8× 171 3.3k
Fei Gao China 31 2.6k 1.3× 3.0k 1.8× 957 1.1× 587 0.9× 274 0.7× 142 4.1k
Pascual Campoy Spain 36 2.3k 1.2× 2.3k 1.4× 549 0.6× 381 0.6× 315 0.8× 161 3.8k
Camillo J. Taylor United States 31 1.9k 1.0× 2.3k 1.4× 1.1k 1.3× 1.4k 2.1× 457 1.1× 104 4.6k
David Hyunchul Shim South Korea 34 2.4k 1.3× 2.1k 1.3× 1.3k 1.5× 803 1.2× 253 0.6× 193 4.0k
Kostas Alexis United States 39 3.4k 1.7× 2.9k 1.7× 1.8k 2.1× 705 1.0× 331 0.8× 138 5.1k
Jizhong Xiao United States 26 1.4k 0.7× 1.3k 0.8× 567 0.7× 311 0.5× 431 1.1× 154 3.2k
Nikolay Atanasov United States 21 1.2k 0.6× 1.2k 0.7× 543 0.6× 414 0.6× 377 0.9× 96 2.2k
Tomáš Krajník Czechia 27 1.2k 0.6× 1.3k 0.8× 327 0.4× 494 0.7× 290 0.7× 113 2.3k
Lincheng Shen China 30 1.9k 1.0× 1.1k 0.6× 782 0.9× 840 1.2× 215 0.5× 257 3.1k

Countries citing papers authored by Giuseppe Loianno

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppe Loianno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppe Loianno

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Loianno. A scholar is included among the top collaborators of Giuseppe Loianno 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 Giuseppe Loianno. Giuseppe Loianno 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.
Loianno, Giuseppe, et al.. (2026). HoLoArm: Deformable Arms for Collision-Tolerant Quadrotor Flight. IEEE Robotics and Automation Letters. 11(3). 3582–3589.
2.
Loianno, Giuseppe, et al.. (2025). Smooth Games of Configuration in the Linear-Quadratic Setting. 5375–5380. 1 indexed citations
3.
Loianno, Giuseppe, et al.. (2024). Collision Dynamics of Motorized Deformable Propellers for Drones. 176–183.
4.
Loianno, Giuseppe, et al.. (2024). Experimental System Design of an Active Fault- Tolerant Quadrotor. 814–821. 1 indexed citations
5.
Zhang, Weide, et al.. (2024). QuadFormer: Real-Time Unsupervised Power Line Segmentation with Transformer-Based Domain Adaptation. 3. 161–167. 1 indexed citations
6.
Xiao, Jiuhong, et al.. (2024). STHN: Deep Homography Estimation for UAV Thermal Geo-Localization With Satellite Imagery. IEEE Robotics and Automation Letters. 9(10). 8754–8761. 4 indexed citations
7.
Xiao, Jiuhong, et al.. (2024). Unifying Foundation Models with Quadrotor Control for Visual Tracking Beyond Object Categories. 7389–7396. 2 indexed citations
8.
9.
Nieto-Granda, Carlos, et al.. (2024). CoPeD-Advancing Multi-Robot Collaborative Perception: A Comprehensive Dataset in Real-World Environments. IEEE Robotics and Automation Letters. 9(7). 6416–6423. 1 indexed citations
10.
Loianno, Giuseppe, et al.. (2024). HPA-MPC: Hybrid Perception-Aware Nonlinear Model Predictive Control for Quadrotors With Suspended Loads. IEEE Robotics and Automation Letters. 10(1). 358–365. 1 indexed citations
11.
Loianno, Giuseppe, et al.. (2023). RotorTM: A Flexible Simulator for Aerial Transportation and Manipulation. IEEE Transactions on Robotics. 40. 831–850. 16 indexed citations
12.
Xiao, Jiuhong, et al.. (2022). Multi-Robot Collaborative Perception With Graph Neural Networks. IEEE Robotics and Automation Letters. 7(2). 2289–2296. 66 indexed citations
13.
Loianno, Giuseppe, et al.. (2021). Cooperative Transportation of Cable Suspended Payloads With MAVs Using Monocular Vision and Inertial Sensing. IEEE Robotics and Automation Letters. 6(3). 5316–5323. 53 indexed citations
14.
Rangan, Sundeep, Marco Mezzavilla, Angel Lozano, et al.. (2020). Millimeter Wave Channel Modeling via Generative Neural Networks. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–6. 21 indexed citations
15.
Loianno, Giuseppe, et al.. (2020). Experimental Evaluation and Characterization of Radioactive Source Effects on Robot Visual Localization and Mapping. IEEE Robotics and Automation Letters. 5(2). 3259–3266. 10 indexed citations
16.
Štěpán, Petr, Vojtěch Spurný, Daniel Heřt, et al.. (2019). Autonomous landing on a moving vehicle with an unmanned aerial vehicle. Journal of Field Robotics. 36(5). 874–891. 114 indexed citations
17.
Kumar, Vijay, James F. Keller, Ian D. Miller, et al.. (2019). MAVNet: An effective semantic segmentation micro-network for MAV-based tasks. AYBU AVESIS. 22 indexed citations
18.
19.
Spurný, Vojtěch, Tomáš Báča, Martin Saska, et al.. (2018). Cooperative autonomous search, grasping, and delivering in a treasure hunt scenario by a team of unmanned aerial vehicles. Journal of Field Robotics. 36(1). 125–148. 77 indexed citations
20.
Loianno, Giuseppe, Vojtěch Spurný, Justin Thomas, et al.. (2018). Localization, Grasping, and Transportation of Magnetic Objects by a Team of MAVs in Challenging Desert-Like Environments. IEEE Robotics and Automation Letters. 3(3). 1576–1583. 69 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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