Giuseppe Silano

652 total citations
24 papers, 377 citations indexed

About

Giuseppe Silano is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Giuseppe Silano has authored 24 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Aerospace Engineering, 15 papers in Computer Vision and Pattern Recognition and 8 papers in Control and Systems Engineering. Recurrent topics in Giuseppe Silano's work include Robotic Path Planning Algorithms (15 papers), Robotics and Sensor-Based Localization (12 papers) and UAV Applications and Optimization (7 papers). Giuseppe Silano is often cited by papers focused on Robotic Path Planning Algorithms (15 papers), Robotics and Sensor-Based Localization (12 papers) and UAV Applications and Optimization (7 papers). Giuseppe Silano collaborates with scholars based in Czechia, Italy and Netherlands. Giuseppe Silano's co-authors include Luigi Iannelli, Luigi Glielmo, Davide Liuzza, Martin Saska, Francesco Picariello, Luca De Vito, Pasquale Daponte, Daniel Bonilla Licea, Robert Pěnička and Valerio Mariani and has published in prestigious journals such as IEEE Access, Robotics and Autonomous Systems and IEEE Robotics and Automation Letters.

In The Last Decade

Giuseppe Silano

21 papers receiving 366 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 Silano Czechia 10 194 153 84 70 65 24 377
Athanasios Ch. Kapoutsis Greece 12 185 1.0× 252 1.6× 105 1.3× 79 1.1× 51 0.8× 27 447
Pratap Tokekar United States 6 244 1.3× 219 1.4× 190 2.3× 55 0.8× 68 1.0× 9 522
Juan Carlos Herrera Lozada Mexico 8 161 0.8× 181 1.2× 28 0.3× 41 0.6× 71 1.1× 31 330
Massimo Satler Italy 9 109 0.6× 86 0.6× 41 0.5× 77 1.1× 53 0.8× 23 347
Rainer Worst Germany 9 114 0.6× 104 0.7× 31 0.4× 77 1.1× 67 1.0× 14 316
Mohamed Abdelkader Saudi Arabia 12 208 1.1× 126 0.8× 111 1.3× 29 0.4× 75 1.2× 34 488
Lukas Schmid Switzerland 9 213 1.1× 273 1.8× 26 0.3× 34 0.5× 39 0.6× 11 423
Luís Santos Portugal 10 105 0.5× 171 1.1× 29 0.3× 218 3.1× 46 0.7× 20 410
Carmelo Donato Melita Italy 9 148 0.8× 128 0.8× 36 0.4× 71 1.0× 54 0.8× 18 327
Juan Irving Vasquez-Gomez Mexico 12 397 2.0× 377 2.5× 38 0.5× 43 0.6× 57 0.9× 31 545

Countries citing papers authored by Giuseppe Silano

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppe Silano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppe Silano

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Silano. A scholar is included among the top collaborators of Giuseppe Silano 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 Silano. Giuseppe Silano 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.
Silano, Giuseppe, et al.. (2025). A Signal Temporal Logic approach for task-based coordination of multi-aerial systems: A wind turbine inspection case study. Robotics and Autonomous Systems. 186. 104905–104905. 1 indexed citations
2.
Krátký, Vít, Giuseppe Silano, Matouš Vrba, et al.. (2025). Gesture-Controlled Aerial Robot Formation for Human-Swarm Interaction in Safety Monitoring Applications. IEEE Robotics and Automation Letters. 10(8). 8244–8251.
3.
Silano, Giuseppe, et al.. (2024). Survey of Simulators for Aerial Robots: An Overview and In-Depth Systematic Comparisons [Survey]. IEEE Robotics & Automation Magazine. 32(2). 153–166. 7 indexed citations
4.
Licea, Daniel Bonilla, et al.. (2024). Harnessing the Potential of Omnidirectional Multi-Rotor Aerial Vehicles in Cooperative Jamming Against Eavesdropping. Zenodo (CERN European Organization for Nuclear Research). 2052–2058.
5.
Rajkumar, Vetrivel Subramaniam, Giuseppe Silano, Oliver Gehrke, et al.. (2024). Laboratory Middleware for the Cyber-Physical Integration of Energy Research Infrastructures. 1–5. 1 indexed citations
6.
7.
Licea, Daniel Bonilla, Giuseppe Silano, Mounir Ghogho, & Martin Saska. (2024). Omnidirectional Multi-Rotor Aerial Vehicle Pose Optimization: A Novel Approach to Physical Layer Security. Zenodo (CERN European Organization for Nuclear Research). 9021–9025. 4 indexed citations
8.
Heřt, Daniel, Pavel Petráček, Vít Krátký, et al.. (2023). MRS Drone: A Modular Platform for Real-World Deployment of Aerial Multi-Robot Systems. Journal of Intelligent & Robotic Systems. 108(4). 24 indexed citations
9.
Licea, Daniel Bonilla, Giuseppe Silano, Mounir Ghogho, & Martin Saska. (2023). Communications-Aware Robotics: Challenges and Opportunities. 366–371. 4 indexed citations
10.
Silano, Giuseppe, et al.. (2023). A Signal Temporal Logic Planner for Ergonomic Human–Robot Collaboration. University of Twente Research Information. 3 indexed citations
11.
Licea, Daniel Bonilla, et al.. (2022). PACNav: a collective navigation approach for UAV swarms deprived of communication and external localization. Bioinspiration & Biomimetics. 17(6). 66019–66019. 11 indexed citations
12.
Mariani, Valerio, et al.. (2022). A survey on the application of path-planning algorithms for multi-rotor UAVs in precision agriculture. Journal of Navigation. 75(2). 364–383. 59 indexed citations
13.
Silano, Giuseppe, et al.. (2022). Mission Planning and Execution in Heterogeneous Teams of Aerial Robots supporting Power Line Inspection Operations. arXiv (Cornell University). 1644–1649. 11 indexed citations
14.
Heřt, Daniel, Pavel Petráček, Vít Krátký, et al.. (2022). MRS Modular UAV Hardware Platforms for Supporting Research in Real-World Outdoor and Indoor Environments. arXiv (Cornell University). 1264–1273. 15 indexed citations
15.
Silano, Giuseppe & Luigi Iannelli. (2021). MAT-Fly: An Educational Platform for Simulating Unmanned Aerial Vehicles Aimed to Detect and Track Moving Objects. IEEE Access. 9. 39333–39343. 5 indexed citations
16.
Silano, Giuseppe, et al.. (2021). Power Line Inspection Tasks With Multi-Aerial Robot Systems Via Signal Temporal Logic Specifications. IEEE Robotics and Automation Letters. 6(2). 4169–4176. 41 indexed citations
17.
Licea, Daniel Bonilla, Giuseppe Silano, Mounir Ghogho, & Martin Saska. (2021). Optimum Trajectory Planning for Multi-Rotor UAV Relays with Tilt and Antenna Orientation Variations. 2021 29th European Signal Processing Conference (EUSIPCO). 1586–1590. 10 indexed citations
18.
Daponte, Pasquale, Luca De Vito, Luigi Glielmo, et al.. (2019). A review on the use of drones for precision agriculture. IOP Conference Series Earth and Environmental Science. 275(1). 12022–12022. 107 indexed citations
19.
Silano, Giuseppe, et al.. (2019). Software-in-the-loop simulation for improving flight control system design: a quadrotor case study. 466–471. 20 indexed citations
20.

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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