Antonella Benvenuto

768 citations
20 papers · 582 indexed · h-index 9
Topics
Neuroscience and Neural Engineering (13 papers)Muscle activation and electromyography studies (9 papers)EEG and Brain-Computer Interfaces (8 papers)
Partner nations
ItalySwitzerlandGermany

In The Last Decade

Antonella Benvenuto

19 papers receiving 557 citations

Peers

Antonella Benvenuto
Comparison fields: 5 of 69
  • Biomedical Engineering 424
  • Cellular and Molecular Neuroscience 309
  • Cognitive Neuroscience 222
  • Electrical and Electronic Engineering 99
  • Neurology 43
Replace Xiaohong Sui with:
Xiaohong Sui China
P. E. K. Donaldson United Kingdom
Chin Su Koh South Korea
Hank Bink United States
Heather A.C. Wark United States
Evon S. Ereifej United States
Z. Fekete Hungary
Zhanghao Yu United States
Guohong Chai China
Furong Ma China
Antonella Benvenuto relative to Xiaohong Sui China Xiaohong Sui's profile →
Citations per field
00.5×3.3×
Xiaohong Sui · 1×
Citations per year

Countries citing papers authored by Antonella Benvenuto

Since Specialization
Citations

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

Fields of papers citing papers by Antonella Benvenuto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonella Benvenuto

This figure shows the co-authorship network connecting the top 25 collaborators of Antonella Benvenuto. A scholar is included among the top collaborators of Antonella Benvenuto 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 Antonella Benvenuto. Antonella Benvenuto 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
#WorkIndexed citations
1 1
2 19
3
In Human Implant of Intraneural Multielectrodes for Controlling a 5-Fingered Hand Prosthesis and Delivering Sensorial Feedback
4
4 1
5 12
6 8
7 6
8 13
9 0
10 4
11 285
12 14
13 1
14 2
15 1
16 10
17 33
18 11
19 3
20 154

About Antonella Benvenuto

Antonella Benvenuto is a scholar working on Cellular and Molecular Neuroscience, Bioengineering and Cognitive Neuroscience, having authored 20 papers that have together received 582 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (13 papers), Muscle activation and electromyography studies (9 papers) and EEG and Brain-Computer Interfaces (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (309 citations), Cognitive Neuroscience (222 citations) and Biomedical Engineering (424 citations). Antonella Benvenuto has collaborated with scholars based in Italy, Switzerland and Germany. Frequent co-authors include Paolo Dario, Maria Chiara Carrozza, Arianna Menciassi, Eugenio Guglielmelli, Giovanni Di Pino, Silvestro Micera, Paolo Maria Rossini, Mario Tombini, G. Cavallo and Luca Rossini. Their work appears in journals such as Biosensors and Bioelectronics, Sensors and Actuators B Chemical and Clinical Neurophysiology.

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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