Paolo Ariano

855 citations
42 papers · 673 indexed · h-index 14
Topics
Muscle activation and electromyography studies (14 papers)Neuroscience and Neural Engineering (9 papers)EEG and Brain-Computer Interfaces (9 papers)
Partner nations
ItalyGermanyFrance

In The Last Decade

Paolo Ariano

42 papers receiving 663 citations

Peers

Paolo Ariano
Comparison fields: 5 of 107
  • Biomedical Engineering 333
  • Cellular and Molecular Neuroscience 210
  • Cognitive Neuroscience 143
  • Materials Chemistry 134
  • Electrical and Electronic Engineering 121
Replace Jin Sang Kim with:
Jin Sang Kim South Korea
Aaron D. Mickle United States
David L. K. Murphy United States
Chung Tin Hong Kong
Dong‐Pyo Jang South Korea
Liming Li China
Juan He China
Mingxing Zhu China
Klaus Peter Koch Germany
Yan T. Wong Australia
Paolo Ariano relative to Jin Sang Kim South Korea Jin Sang Kim's profile →
Citations per field
00.5×4.8×
Jin Sang Kim · 1×
Citations per year

Countries citing papers authored by Paolo Ariano

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Ariano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Ariano

This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Ariano. A scholar is included among the top collaborators of Paolo Ariano 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 Paolo Ariano. Paolo Ariano 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 4
2 3
3 47
4 18
5 26
6 5
7
Stereo vision system for capture and removal of space debris
5
8 16
9 2
10 3
11 87
12 13
13 24
14 2
15 32
16 8
17 12
18 7
19 6
20 3

About Paolo Ariano

Paolo Ariano is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Rehabilitation, having authored 42 papers that have together received 673 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (14 papers), Neuroscience and Neural Engineering (9 papers) and EEG and Brain-Computer Interfaces (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (210 citations), Rehabilitation (56 citations) and Biomedical Engineering (333 citations). Paolo Ariano has collaborated with scholars based in Italy, Germany and France. Frequent co-authors include Davide Lovisolo, Marco Paleari, Alessandra Gilardino, Alessandro Chiolerio, Sergio Bocchini, Strahinja Došen, Dario Farina, E. Vittone, Michela Chiappalone and Marco Gazzoni. Their work appears in journals such as PLoS ONE, Brain Research and Small.

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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