Ferdinando Cannella

1.7k total citations · 1 hit paper
78 papers, 1.2k citations indexed

About

Ferdinando Cannella is a scholar working on Control and Systems Engineering, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Ferdinando Cannella has authored 78 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Control and Systems Engineering, 37 papers in Biomedical Engineering and 30 papers in Mechanical Engineering. Recurrent topics in Ferdinando Cannella's work include Robot Manipulation and Learning (30 papers), Soft Robotics and Applications (22 papers) and Robotic Mechanisms and Dynamics (16 papers). Ferdinando Cannella is often cited by papers focused on Robot Manipulation and Learning (30 papers), Soft Robotics and Applications (22 papers) and Robotic Mechanisms and Dynamics (16 papers). Ferdinando Cannella collaborates with scholars based in Italy, United Kingdom and Japan. Ferdinando Cannella's co-authors include Darwin G. Caldwell, Nikos G. Tsagarakis, Claudio Semini, E. Guglielmino, Michele Focchi, Fei Chen, Jian S. Dai, Toshio Fukuda, Kosuke Sekiyama and C. Canali and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and International Journal of Solids and Structures.

In The Last Decade

Ferdinando Cannella

71 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Design of HyQ – a hydraulically and electrically actuated quadruped robot

2011 476 citations Ferdinando Cannella, Darwin G. Caldwell et al. profile →

Peers

Ferdinando Cannella

BE

CSE

ME

IME

CVPR

Annika Raatz Germany

Chang-Soo Han South Korea

Matteo Zoppi Italy

Gim Song Soh Singapore

Rezia Molfino Italy

Xingwei Zhao China

James P. Schmiedeler United States

Dongming Gan United Arab Emirates

Rui Song China

David Howard Australia

Annika Raatz Germany

Ferdinando Cannella

748 ×1.0

BE

561 ×1.1

CSE

636 ×1.7

ME

315 ×1.9

IME

123 ×1.0

CVPR

Citations per year, relative to Ferdinando Cannella Ferdinando Cannella (= 1×) peers Annika Raatz

Countries citing papers authored by Ferdinando Cannella

Since Specialization

Citations

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

Fields of papers citing papers by Ferdinando Cannella

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ferdinando Cannella

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Müller, Andreas, et al.. (2024). A Deep Learning Framework for Non-Symmetrical Coulomb Friction Identification of Robotic Manipulators. 10510–10516. 1 indexed citations

2.

Cannella, Ferdinando, et al.. (2024). PV Large Utility Visual Inspection via Unmanned Vehicles. 1–8.

3.

Cocuzza, Silvio, et al.. (2023). Development of a Flexible Assembly System for the World Robot Summit 2020 Assembly Challenge. Journal of Robotics and Mechatronics. 35(1). 51–64.

4.

Giovanelli, Riccardo, et al.. (2023). CULTURAL HERITAGE DIGITAL PRESERVATION THROUGH AI-DRIVEN ROBOTICS. SHILAP Revista de lepidopterología. XLVIII-M-2-2023. 995–1000. 3 indexed citations

5.

Lee, Jinoh, et al.. (2021). Design of Non-Circular Pulleys for Torque Generation: A Convex Optimisation Approach. IEEE Robotics and Automation Letters. 6(2). 958–965. 8 indexed citations

6.

Canali, C., et al.. (2020). Novel Modular Self-Reconfigurable Robot for Pipe and Plant Inspection. 36–40. 2 indexed citations

7.

Zaplana, Isiah, et al.. (2020). A novel strategy for balancing the workload of industrial lines based on a genetic algorithm. UPCommons institutional repository (Universitat Politècnica de Catalunya). 49. 785–792. 3 indexed citations

8.

Mazzei, Luca, et al.. (2018). Deep Endoscope: Intelligent Duct Inspection for the Avionic Industry. IEEE Transactions on Industrial Informatics. 14(4). 1701–1711. 19 indexed citations

9.

Caldwell, Darwin G., et al.. (2018). VARO-Fi: A Variable Orientable Gripper to Obtain In-Hand Manipulation. 4568–4575. 2 indexed citations

10.

Cannella, Ferdinando, Alberto Garinei, Roberto Marsili, & Emanuela Speranzini. (2017). Dynamic mechanical analysis and thermoelasticity for investigating composite structural elements made with additive manufacturing. Composite Structures. 185. 466–473. 10 indexed citations

11.

Muscolo, Giovanni Gerardo, Darwin G. Caldwell, & Ferdinando Cannella. (2017). Multibody Biomechanical Analysis of Taekwondo Athletes. 2017. 799–804. 2 indexed citations

12.

Becchetti, Matteo, Roberto Marsili, Ferdinando Cannella, & Alberto Garinei. (2017). A new system for the measurement of gripping force based on scattering. ACTA IMEKO. 6(4). 100–100. 1 indexed citations

13.

Carbonari, Luca, et al.. (2015). New test rig for creased paperboard investigation to confectionery industry reconfigurable folders. Università Politecnica delle Marche (Università Politecnica delle Marche). 1–4. 1 indexed citations

14.

Chen, Fei, et al.. (2015). Hand Gesture Modeling and Recognition for Human and Robot Interactive Assembly Using Hidden Markov Models. International Journal of Advanced Robotic Systems. 12(4). 18 indexed citations

15.

Carbonari, Luca, et al.. (2015). A novel bio-inspired modular gripper for in-hand manipulation. Università Politecnica delle Marche (Università Politecnica delle Marche). 1. 7–12. 11 indexed citations

16.

Canali, C., et al.. (2014). An automatic assembly parts detection and grasping system for industrial manufacturing. 79. 215–220. 9 indexed citations

17.

Cannella, Ferdinando, et al.. (2013). Large bending behavior of creased paperboard. I. Experimental investigations. International Journal of Solids and Structures. 50(20-21). 3089–3096. 27 indexed citations

18.

Cannella, Ferdinando, et al.. (2013). Large bending behavior of creased paperboard. II. Structural analysis. International Journal of Solids and Structures. 50(20-21). 3097–3105. 15 indexed citations

19.

Yao, Wei, Ferdinando Cannella, & Jian S. Dai. (2010). Automatic folding of cartons using a reconfigurable robotic system. Robotics and Computer-Integrated Manufacturing. 27(3). 604–613. 23 indexed citations

20.

Cannella, Ferdinando, et al.. (2008). "DYNAMIC CHARACTERIZATION OF A WASHING MACHINE: NUMERICAL MULTI-BODY ANALYSIS AND EXPERIMENTAL VALIDATION". IRIS eCampus Telematic University (Università degli Studi eCampus). 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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