G. Cappiello

932 citations
19 papers · 703 indexed · h-index 12
Topics
Muscle activation and electromyography studies (10 papers)Robot Manipulation and Learning (10 papers)Prosthetics and Rehabilitation Robotics (5 papers)
Partner nations
ItalyJapanSweden

In The Last Decade

G. Cappiello

19 papers receiving 655 citations

Peers

G. Cappiello
Comparison fields: 5 of 60
  • Biomedical Engineering 565
  • Control and Systems Engineering 325
  • Cognitive Neuroscience 261
  • Cellular and Molecular Neuroscience 185
  • Rehabilitation 88
Replace A. Kargov with:
A. Kargov Germany
F. Zaccone Italy
Jacob L. Segil United States
Anna Lisa Ciancio Italy
Yinlai Jiang Japan
Ramana Vinjamuri United States
Cristina Piazza Italy
Michele Folgheraiter Kazakhstan
Alessandro Serio Italy
Francesco Clemente Italy
G. Cappiello relative to A. Kargov Germany A. Kargov's profile →
Citations per field
00.5×1.5×
A. Kargov · 1×
Citations per year

Countries citing papers authored by G. Cappiello

Since Specialization
Citations

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

Fields of papers citing papers by G. Cappiello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Cappiello

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 3
2 5
3 7
4 19
5 19
6
The RobotCub project -- an open framework for research in embodied cognition
19
7 263
8 18
9 5
10 63
11 34
12 9
13 8
14 35
15 49
16 55
17 33
18
Design and control of an underactuated cybernetic artificial hand
11
19 48

About G. Cappiello

G. Cappiello is a scholar working on Rehabilitation, Control and Systems Engineering and Cognitive Neuroscience, having authored 19 papers that have together received 703 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (10 papers), Robot Manipulation and Learning (10 papers) and Prosthetics and Rehabilitation Robotics (5 papers). The work is most often cited by research in Control and Systems Engineering (325 citations), Cognitive Neuroscience (261 citations) and Rehabilitation (88 citations). G. Cappiello has collaborated with scholars based in Italy, Japan and Sweden. Frequent co-authors include Maria Chiara Carrozza, Silvestro Micera, Lucia Beccai, Christian Cipriani, Benoni B. Edin, Paolo Dario, F. Zaccone, Giovanni Stellin, F. Vecchi and Stefano Roccella. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Biological Cybernetics and Autonomous Robots.

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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