Giorgio Metta

15.9k total citations · 2 hit papers
259 papers, 10.4k citations indexed

About

Giorgio Metta is a scholar working on Control and Systems Engineering, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Giorgio Metta has authored 259 papers receiving a total of 10.4k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Control and Systems Engineering, 113 papers in Biomedical Engineering and 95 papers in Cognitive Neuroscience. Recurrent topics in Giorgio Metta's work include Robot Manipulation and Learning (101 papers), Robotic Locomotion and Control (60 papers) and Tactile and Sensory Interactions (43 papers). Giorgio Metta is often cited by papers focused on Robot Manipulation and Learning (101 papers), Robotic Locomotion and Control (60 papers) and Tactile and Sensory Interactions (43 papers). Giorgio Metta collaborates with scholars based in Italy, United Kingdom and United States. Giorgio Metta's co-authors include Giulio Sandini, Lorenzo Natale, Maurizio Valle, Ravinder Dahiya, Francesco Nori, Paul Fitzpatrick, David Vernon, Marco Maggiali, Giorgio Cannata and Ugo Pattacini and has published in prestigious journals such as Nature Materials, Applied Physics Letters and PLoS ONE.

In The Last Decade

Giorgio Metta

256 papers receiving 9.9k citations

Hit Papers

Tactile Sensing—From Humans to Humanoids 2006 2026 2012 2019 2009 2006 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giorgio Metta Italy 48 4.6k 4.2k 3.5k 1.9k 1.8k 259 10.4k
Giulio Sandini Italy 52 3.2k 0.7× 5.1k 1.2× 2.4k 0.7× 2.0k 1.0× 1.4k 0.8× 376 11.2k
Emanuel Todorov United States 37 4.0k 0.9× 4.9k 1.2× 3.1k 0.9× 1.4k 0.7× 2.1k 1.2× 88 10.3k
Aude Billard Switzerland 59 4.1k 0.9× 2.8k 0.7× 7.7k 2.2× 2.0k 1.0× 3.4k 1.9× 349 13.0k
Gordon Cheng Germany 42 4.1k 0.9× 2.7k 0.7× 2.4k 0.7× 855 0.4× 911 0.5× 289 7.5k
Yasuo Kuniyoshi Japan 37 2.6k 0.6× 1.4k 0.3× 2.3k 0.7× 727 0.4× 1.5k 0.8× 318 6.8k
Lorenzo Natale Italy 33 2.1k 0.5× 1.8k 0.4× 2.1k 0.6× 948 0.5× 1.0k 0.6× 175 5.2k
Rolf Pfeifer Switzerland 40 2.8k 0.6× 2.2k 0.5× 1.5k 0.4× 821 0.4× 2.2k 1.2× 161 7.9k
Stefan Schaal United States 38 3.4k 0.7× 1.8k 0.4× 4.7k 1.4× 841 0.4× 1.9k 1.1× 91 8.1k
Minoru Asada Japan 36 1.2k 0.3× 1.6k 0.4× 1.5k 0.4× 1.2k 0.6× 2.2k 1.2× 412 6.6k
Etienne Burdet United Kingdom 54 6.2k 1.3× 5.4k 1.3× 2.4k 0.7× 1.2k 0.6× 260 0.1× 335 11.6k

Countries citing papers authored by Giorgio Metta

Since Specialization
Citations

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

Fields of papers citing papers by Giorgio Metta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giorgio Metta

This figure shows the co-authorship network connecting the top 25 collaborators of Giorgio Metta. A scholar is included among the top collaborators of Giorgio Metta 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 Giorgio Metta. Giorgio Metta 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.
Kim, Wansoo, Marta Lorenzini, Pietro Balatti, et al.. (2019). Adaptable Workstations for Human-Robot Collaboration: A Reconfigurable Framework for Improving Worker Ergonomics and Productivity. IEEE Robotics & Automation Magazine. 26(3). 14–26. 68 indexed citations
2.
Metta, Giorgio, et al.. (2019). A Systematic Approach to Evaluating and Benchmarking Robotic Hands—The FFP Index. Robotics. 8(1). 7–7. 18 indexed citations
3.
Kompatsiari, Kyveli, Jairo Pérez-Osorio, Davide De Tommaso, Giorgio Metta, & Agnieszka Wykowska. (2018). Neuroscientifically-Grounded Research for Improved Human-Robot Interaction. Zenodo (CERN European Organization for Nuclear Research). 3403–3408. 18 indexed citations
4.
Tomo, Tito Pradhono, Alexander Schmitz, Lorenzo Natale, et al.. (2018). A New Silicone Structure for uSkin—A Soft, Distributed, Digital 3-Axis Skin Sensor and Its Integration on the Humanoid Robot iCub. IEEE Robotics and Automation Letters. 3(3). 2584–2591. 102 indexed citations
5.
Pattacini, Ugo, et al.. (2018). Merging Physical and Social Interaction for Effective Human-Robot Collaboration. 1–9. 7 indexed citations
6.
Kompatsiari, Kyveli, Francesca Ciardo, Vadim Tikhanoff, Giorgio Metta, & Agnieszka Wykowska. (2018). On the role of eye contact in gaze cueing. Scientific Reports. 8(1). 17842–17842. 48 indexed citations
7.
Moulin-Frier, Clément, Tobias Fischer, Ugo Pattacini, et al.. (2017). DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self. IEEE Transactions on Cognitive and Developmental Systems. 10(4). 1005–1022. 52 indexed citations
8.
Roncone, Alessandro, Matej Hoffmann, Ugo Pattacini, Luciano Fadiga, & Giorgio Metta. (2016). Peripersonal Space and Margin of Safety around the Body: Learning Visuo-Tactile Associations in a Humanoid Robot with Artificial Skin. PLoS ONE. 11(10). e0163713–e0163713. 39 indexed citations
9.
Bisio, Ambra, Alessandra Sciutti, Francesco Nori, et al.. (2014). Motor Contagion during Human-Human and Human-Robot Interaction. PLoS ONE. 9(8). e106172–e106172. 76 indexed citations
10.
Fanello, Sean, Carlo Ciliberto, Matteo Santoro, et al.. (2013). iCub World: Friendly Robots Help Building Good Vision Data-Sets. PEARL (University of Plymouth). 700–705. 16 indexed citations
11.
Pulina, Luca, et al.. (2013). How to Abstract Intelligence? (If Verification Is in Order).. National Conference on Artificial Intelligence. 3 indexed citations
12.
Rea, Francesco, Giorgio Metta, & Chiara Bartolozzi. (2013). Event-driven visual attention for the humanoid robot iCub. Frontiers in Neuroscience. 7. 234–234. 25 indexed citations
13.
Metta, Giorgio, Lorenzo Natale, Francesco Nori, et al.. (2010). The iCub humanoid robot: An open-systems platform for research in cognitive development. Neural Networks. 23(8-9). 1125–1134. 364 indexed citations
14.
Tikhanoff, Vadim, Angelo Cangelosi, Jun Tani, & Giorgio Metta. (2008). Towards language acquisition in autonomous robots.. Artificial Life. 808. 1 indexed citations
15.
Natale, Lorenzo, Francesco Orabona, Giorgio Metta, & Giulio Sandini. (2007). Sensorimotor coordination in a “baby” robot: learning about objects through grasping. Progress in brain research. 164. 403–424. 13 indexed citations
16.
Metta, Giorgio, Giulio Sandini, David Vernon, et al.. (2006). The RobotCub project -- an open framework for research in embodied cognition. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 19 indexed citations
17.
Tsagarakis, Nikos G., et al.. (2006). Performance Assessment of a 3 DOF Differential Based Waist joint for the "iCub" Baby Humanoid Robot. CINECA IRIS Institutial Research Information System (University of Genoa). 195–201. 12 indexed citations
18.
Metta, Giorgio, David Vernon, & Giulio Sandini. (2005). The RobotCub Approach to the Development of Cognition. CogPrints (University of Southampton). 1 indexed citations
19.
Metta, Giorgio, et al.. (2000). Development: Is it the right way towards humanoid robotics?. 1 indexed citations
20.
Metta, Giorgio, Giulio Sandini, & Jürgen Konczak. (1999). A developmental approach to visually-guided reaching in artificial systems. Neural Networks. 12(10). 1413–1427. 76 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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