F. Zaccone

793 citations
12 papers · 610 · h-index 9

Impact in

Papers in

F. Zaccone

12 papers receiving 579 citations

Peers

F. Zaccone
Comparison fields: 5 of 45
  • Cognitive Neuroscience 284
  • Rehabilitation 78
  • Biomedical Engineering 515
  • Human-Computer Interaction 61
  • Cellular and Molecular Neuroscience 193
Replace G. Cappiello with:
G. Cappiello Italy
A. Kargov Germany
Skyler A. Dalley United States
Michele Folgheraiter Kazakhstan
Yikun Gu China
Jacob L. Segil United States
Anna Lisa Ciancio Italy
Marianna Semprini Italy
Marko Marković Germany
Yinlai Jiang Japan
F. Zaccone relative to G. Cappiello Italy G. Cappiello's profile →
Citations per field
00.5×1.5×1.8×
G. Cappiello · 1×
Citations per year

Countries citing papers authored by F. Zaccone

Since Specialization
Citations

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

Fields of papers citing papers by F. Zaccone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside F. Zaccone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with F. Zaccone Line = papers co-authored together F. Zaccone links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2008353
2 200664
3 200555
4 200535
5 200634
6 200322
7 200414
8 200713
9 20059
10 20065
11 20054
12
Design of an anthropomorphic dexterous hand for a 2-years-old humanoid: ongoing work
20082

About F. Zaccone

F. Zaccone is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Control and Systems Engineering, Cellular and Molecular Neuroscience and Rehabilitation, having authored 12 papers that have together received 610 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (10 papers), EEG and Brain-Computer Interfaces (5 papers), Robot Manipulation and Learning (4 papers), Neuroscience and Neural Engineering (3 papers), Prosthetics and Rehabilitation Robotics (3 papers), Tactile and Sensory Interactions (2 papers), Stroke Rehabilitation and Recovery (2 papers) and Sensor Technology and Measurement Systems (1 paper). The work is most often cited by research in Cognitive Neuroscience (284 citations), Rehabilitation (78 citations), Biomedical Engineering (515 citations), Human-Computer Interaction (61 citations) and Cellular and Molecular Neuroscience (193 citations). F. Zaccone has collaborated with scholars based in Italy and Germany. Frequent co-authors include Silvestro Micera, Maria Chiara Carrozza, Christian Cipriani, Paolo Dario, G. Cappiello, Giovanni Stellin, F. Vecchi, Lucia Beccai, Eugenio Guglielmelli and Fabrizio Pisano. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, Autonomous Robots, IEEE Transactions on Robotics, PubMed and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).

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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