Giovanni Muscato

3.1k total citations
163 papers, 2.2k citations indexed

About

Giovanni Muscato is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Giovanni Muscato has authored 163 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Control and Systems Engineering, 41 papers in Computer Vision and Pattern Recognition and 40 papers in Aerospace Engineering. Recurrent topics in Giovanni Muscato's work include Robotics and Sensor-Based Localization (30 papers), Robotic Path Planning Algorithms (24 papers) and Robotic Locomotion and Control (17 papers). Giovanni Muscato is often cited by papers focused on Robotics and Sensor-Based Localization (30 papers), Robotic Path Planning Algorithms (24 papers) and Robotic Locomotion and Control (17 papers). Giovanni Muscato collaborates with scholars based in Italy, United Kingdom and Switzerland. Giovanni Muscato's co-authors include Domenico Longo, Luigi Fortuna, Luciano Cantelli, Maria Gabriella Xibilia, Carmelo Donato Melita, Rosario Sinatra, Filippo Bonaccorso, P. Dorato, Salvatore Livatino and M. Messina and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics and Automatica.

In The Last Decade

Giovanni Muscato

151 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giovanni Muscato Italy 25 691 583 579 507 426 163 2.2k
George Kantor United States 27 686 1.0× 271 0.5× 435 0.8× 819 1.6× 831 2.0× 110 2.5k
Dezhen Song United States 23 443 0.6× 205 0.4× 325 0.6× 652 1.3× 541 1.3× 126 2.0k
Jang-Myung Lee South Korea 20 1.3k 1.9× 481 0.8× 286 0.5× 428 0.8× 442 1.0× 233 2.7k
Dan Wu China 23 695 1.0× 552 0.9× 501 0.9× 217 0.4× 120 0.3× 132 1.8k
René van de Molengraft Netherlands 29 2.6k 3.7× 964 1.7× 282 0.5× 431 0.9× 327 0.8× 183 3.7k
Joris Gillis Belgium 9 1.6k 2.2× 227 0.4× 459 0.8× 488 1.0× 308 0.7× 39 2.7k
Riccardo Muradore Italy 21 820 1.2× 494 0.8× 760 1.3× 237 0.5× 103 0.2× 141 1.8k
David M. Bevly United States 30 1.2k 1.7× 648 1.1× 168 0.3× 427 0.8× 1.0k 2.4× 195 3.2k
Ching‐Chih Tsai Taiwan 29 2.0k 2.9× 422 0.7× 442 0.8× 975 1.9× 591 1.4× 240 3.3k
Paolo Mercorelli Germany 28 1.5k 2.2× 750 1.3× 238 0.4× 324 0.6× 281 0.7× 306 2.7k

Countries citing papers authored by Giovanni Muscato

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Muscato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Muscato

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Muscato. A scholar is included among the top collaborators of Giovanni Muscato 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 Giovanni Muscato. Giovanni Muscato 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.
Virk, G.S., et al.. (2025). A Systematic Review of Sensing and Control Strategies of Wearable Active Ankle Exoskeletons/Exosuits, With Performance Assessment Based on a Complexity Index. VBN Forskningsportal (Aalborg Universitet). 2. 382–396. 1 indexed citations
2.
Vecchio, Giuseppe, et al.. (2024). Terrain traversability prediction through self-supervised learning and unsupervised domain adaptation on synthetic data. Autonomous Robots. 48(2-3). 3 indexed citations
3.
Muscato, Giovanni, et al.. (2024). Synchronization of Moving Chaotic Robots. IEEE Robotics and Automation Letters. 9(7). 6496–6503. 3 indexed citations
4.
Muscato, Giovanni, et al.. (2023). A Multi-Robot System for the Study of Face-to-Face Interaction Dynamics. IEEE Robotics and Automation Letters. 8(10). 6715–6722. 1 indexed citations
5.
Randazzo, Giovanni, et al.. (2023). An Intelligent Hierarchical Cyber-Physical System for Beach Waste Management: The BIOBLU Case Study. IEEE Access. 11. 134421–134445. 10 indexed citations
6.
Andò, Bruno, et al.. (2021). An Introduction to Patterns for the Internet of Robotic Things in the Ambient Assisted Living Scenario. Robotics. 10(2). 56–56. 3 indexed citations
7.
Cantelli, Luciano, et al.. (2021). Highlights on some Robots and Drones for Hazardous Environments. 45–49. 2 indexed citations
8.
Melita, Carmelo Donato, et al.. (2020). Low-Altitude Terrain-Following Flight Planning for Multirotors. Drones. 4(2). 26–26. 7 indexed citations
9.
Cantelli, Luciano, et al.. (2019). Coverage path planning for a flock of aerial vehicles to support autonomous rovers through traversability analysis. ACTA IMEKO. 8(4). 9–9. 9 indexed citations
10.
Cantelli, Luciano, et al.. (2017). A Global Path Planning Strategy for a UGV from Aerial Elevation Maps for Disaster Response. 335–342. 14 indexed citations
11.
Marques, Lino, et al.. (2013). Sensors for close-in detection of explosive devices in the framework of FP7-TIRAMISU project. 1 indexed citations
12.
Bonaccorso, Filippo, Giovanni Muscato, & Salvatore Baglio. (2012). Laser range data scan-matching algorithm for mobile robot indoor self-localization. World Automation Congress. 1–5. 1 indexed citations
13.
Livatino, Salvatore & Giovanni Muscato. (2012). Robot 3D vision in teleoperation. World Automation Congress. 1–6. 4 indexed citations
14.
Bonaccorso, Filippo, Domenico Longo, & Giovanni Muscato. (2012). The U-Go Robot. World Automation Congress. 1–6. 2 indexed citations
15.
Melita, Carmelo Donato, et al.. (2010). Performances evaluation of Global Navigation Satellite Systems and Satellite/Ground Based Augmentation Systems in mobile robotics. 1–8. 1 indexed citations
16.
Bonaccorso, Filippo, et al.. (2010). A feedback control system for a rapid production process based on robotic welding deposition. 1–6. 1 indexed citations
17.
Muscato, Giovanni, et al.. (2008). A closed loop welding controller for a rapid manufacturing process. 1080–1083. 17 indexed citations
18.
Muscato, Giovanni. (2000). Parametric generalized singular perturbation approximation for model order reduction. IEEE Transactions on Automatic Control. 45(2). 339–343. 12 indexed citations
19.
Arena, Paolo, Riccardo Caponetto, Luigi Fortuna, Giovanni Muscato, & Maria Gabriella Xibilia. (1996). Quaternionic Multilayer Perceptrons for Chaotic Time Series Prediction. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 79(10). 1682–1688. 24 indexed citations
20.
Fortuna, Luigi, et al.. (1993). Induction Motor Modelling Using Multi-Layer Perceptrons (Special Section on Neural Nets, Chaos and Numerics). IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 76(5). 761–771. 2 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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