Giuseppe Muscio

914 total citations
17 papers, 528 citations indexed

About

Giuseppe Muscio is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Giuseppe Muscio has authored 17 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Control and Systems Engineering, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Mechanical Engineering. Recurrent topics in Giuseppe Muscio's work include Robot Manipulation and Learning (8 papers), Robotic Mechanisms and Dynamics (7 papers) and Robotic Path Planning Algorithms (7 papers). Giuseppe Muscio is often cited by papers focused on Robot Manipulation and Learning (8 papers), Robotic Mechanisms and Dynamics (7 papers) and Robotic Path Planning Algorithms (7 papers). Giuseppe Muscio collaborates with scholars based in Italy, Spain and France. Giuseppe Muscio's co-authors include Francesco Pierri, Fabrizio Caccavale, Gianluca Antonelli, Elisabetta Cataldi, Alessandro Marino, Markus Ryll, Antonio Franchi, Davide Bicego, Anı́bal Ollero and Antidio Viguria and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Transactions on Control Systems Technology and Journal of Intelligent & Robotic Systems.

In The Last Decade

Giuseppe Muscio

17 papers receiving 520 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 Muscio Italy 12 389 267 164 124 121 17 528
Davide Bicego France 8 280 0.7× 233 0.9× 219 1.3× 122 1.0× 72 0.6× 14 475
Victor M. Vega Spain 9 279 0.7× 241 0.9× 217 1.3× 80 0.6× 66 0.5× 10 473
Lucio R. Salinas Argentina 13 255 0.7× 128 0.5× 140 0.9× 129 1.0× 91 0.8× 29 399
Elisabetta Cataldi Italy 12 332 0.9× 238 0.9× 180 1.1× 103 0.8× 91 0.8× 15 483
Fan Shi Japan 11 212 0.5× 225 0.8× 204 1.2× 77 0.6× 83 0.7× 28 423
Hyeonbeom Lee South Korea 13 358 0.9× 390 1.5× 304 1.9× 76 0.6× 178 1.5× 30 612
Juan Marcos Toibero Argentina 13 244 0.6× 240 0.9× 142 0.9× 52 0.4× 84 0.7× 39 430
Moju Zhao Japan 14 364 0.9× 388 1.5× 365 2.2× 145 1.2× 136 1.1× 51 717
Hyunsoo Yang South Korea 10 196 0.5× 158 0.6× 127 0.8× 67 0.5× 54 0.4× 19 330
Dario Brescianini Switzerland 7 268 0.7× 209 0.8× 194 1.2× 38 0.3× 60 0.5× 7 403

Countries citing papers authored by Giuseppe Muscio

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppe Muscio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppe Muscio

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

All Works

17 of 17 papers shown
1.
Pierri, Francesco, et al.. (2020). Cooperative Manipulation of an Unknown Object via Omnidirectional Unmanned Aerial Vehicles. Journal of Intelligent & Robotic Systems. 100(3-4). 1635–1649. 17 indexed citations
2.
Ryll, Markus, Giuseppe Muscio, Francesco Pierri, et al.. (2019). 6D interaction control with aerial robots: The flying end-effector paradigm. The International Journal of Robotics Research. 38(9). 1045–1062. 117 indexed citations
3.
Pierri, Francesco, Giuseppe Muscio, & Fabrizio Caccavale. (2018). An adaptive hierarchical control for aerial manipulators. Robotica. 36(10). 1527–1550. 26 indexed citations
4.
Muscio, Giuseppe, Francesco Pierri, M. A. Trujillo, et al.. (2017). Coordinated Control of Aerial Robotic Manipulators: Theory and Experiments. IEEE Transactions on Control Systems Technology. 26(4). 1406–1413. 45 indexed citations
5.
Marino, Alessandro, Giuseppe Muscio, & Francesco Pierri. (2017). Distributed cooperative object parameter estimation and manipulation without explicit communication. CINECA IRIS Institutional Research Information System (University of Basilicata). 2110–21116. 16 indexed citations
6.
Cataldi, Elisabetta, Giuseppe Muscio, M. A. Trujillo, et al.. (2016). Impedance Control of an aerial-manipulator: Preliminary results. CINECA IRIS Institutional Research Information System (University of Basilicata). 3848–3853. 52 indexed citations
7.
Muscio, Giuseppe, Francesco Pierri, M. A. Trujillo, et al.. (2016). Experiments on coordinated motion of aerial robotic manipulators. CINECA IRIS Institutional Research Information System (University of Basilicata). 17 indexed citations
8.
Caccavale, Fabrizio, et al.. (2015). Cooperative impedance control for multiple UAVs with a robotic arm. CINECA IRIS Institutional Research Information System (University of Basilicata). 2366–2371. 39 indexed citations
9.
Muscio, Giuseppe, Francesco Pierri, & Jeffrey C. Trinkle. (2014). A hand/arm controller that simultaneously regulates internal grasp forces and the impedance of contacts with the environment. CINECA IRIS Institutional Research Information System (University of Basilicata). 895–900. 2 indexed citations
10.
Caccavale, Fabrizio, et al.. (2014). Adaptive control for UAVs equipped with a robotic arm. IFAC Proceedings Volumes. 47(3). 11049–11054. 51 indexed citations
11.
Antonelli, Gianluca, et al.. (2014). Control Software Architectures for Cooperative Multi Unmanned Aerial Vehicles Manipulator Systems. Aisberg (University of Bergamo). 5(2). 1–12. 2 indexed citations
12.
Caccavale, Fabrizio, Vincenzo Lippiello, Giuseppe Muscio, et al.. (2013). Grasp planning and parallel control of a redundant dual-arm/hand manipulation system. Robotica. 31(7). 1169–1194. 16 indexed citations
13.
Caccavale, Fabrizio, et al.. (2013). Control of quadrotor aerial vehicles equipped with a robotic arm. CINECA IRIS Institutional Research Information System (University of Basilicata). 1174–1180. 67 indexed citations
14.
Caccavale, Fabrizio, Giuseppe Muscio, & Francesco Pierri. (2013). Grasp force and object impedance control for arm/hand systems. CINECA IRIS Institutional Research Information System (University of Basilicata). 1–6. 4 indexed citations
15.
Muscio, Giuseppe & Francesco Pierri. (2012). A Fault Tolerant adaptive control for robot manipulators. 1697–1702. 5 indexed citations
16.
Caccavale, Fabrizio, Alessandro Marino, Giuseppe Muscio, & Francesco Pierri. (2012). Discrete-Time Framework for Fault Diagnosis in Robotic Manipulators. IEEE Transactions on Control Systems Technology. 21(5). 1858–1873. 46 indexed citations
17.
Caccavale, Fabrizio, Vincenzo Lippiello, Giuseppe Muscio, et al.. (2011). Kinematic control with force feedback for a redundant bimanual manipulation system. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 4194–4200. 6 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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