Giuseppe Averta

848 citations
45 papers · 468 · h-index 13

Impact in

Papers in

    • Muscle activation and electromyography studies 15
    • Soft Robotics and Applications 6
    • Motor Control and Adaptation 11
    • EEG and Brain-Computer Interfaces 5
    • Tactile and Sensory Interactions 5

Giuseppe Averta

40 papers receiving 464 citations

Peers

Giuseppe Averta
Comparison fields: 5 of 61
  • Human-Computer Interaction 58
  • Cognitive Neuroscience 183
  • Rehabilitation 61
  • Control and Systems Engineering 197
  • Biomedical Engineering 250
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Shahrul Na’im Sidek Malaysia
Tomoya Tamei Japan
Craig G. McDonald United States
Yinlai Jiang Japan
Clemente Lauretti Italy
Toshihiro Kawase Japan
Thilina Dulantha Lalitharatne Sri Lanka
Ayşe Küçükyılmaz United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Giuseppe Averta

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppe Averta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Giuseppe Averta, 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 Giuseppe Averta Line = papers co-authored together Giuseppe Averta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201962
2 201755
3 202034
4 201732
5 202029
6 202122
7 202218
8 201815
9 201915
10 201913
11 202413
12 201813
13 201913
14 202112
15 201812
16 202110
17 202010
18 20239
19 20209
20 20179

About Giuseppe Averta

Giuseppe Averta is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 45 papers that have together received 468 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (15 papers), Muscle activation and electromyography studies (15 papers), Motor Control and Adaptation (11 papers), Advanced Neural Network Applications (8 papers), Soft Robotics and Applications (6 papers), Stroke Rehabilitation and Recovery (5 papers), EEG and Brain-Computer Interfaces (5 papers) and Tactile and Sensory Interactions (5 papers). The work is most often cited by research in Human-Computer Interaction (58 citations), Cognitive Neuroscience (183 citations), Rehabilitation (61 citations), Control and Systems Engineering (197 citations) and Biomedical Engineering (250 citations). Giuseppe Averta has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Matteo Bianchi, Antonio Bicchi, Cosimo Della Santina, Manuel G. Catalano, Gaetano Valenza, Edoardo Battaglia, Vincenzo Catrambone, Davide Bacciu, Simone Ciotti and Barbara Leporini. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Access, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Scientific Reports and IEEE Transactions on Human-Machine Systems.

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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