Gianluca Barabino

14 papers receiving 311 citations

Peers

Gianluca Barabino
Comparison fields: 5 of 60
  • Biomedical Engineering 222
  • Polymers and Plastics 82
  • Electrical and Electronic Engineering 79
  • Cellular and Molecular Neuroscience 57
  • Cognitive Neuroscience 56
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M. Attari Algeria
Tucker Stuart United States
Jessica Hanna United States
Michael McKnight United States
Ellora Sen-Gupta United States
Kaan Sel United States
Prashanth S. Kumar United States
Bahareh Taji Canada
Yong Won Kwon South Korea
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Gianluca Barabino relative to M. Attari Algeria M. Attari's profile →
Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by Gianluca Barabino

Since Specialization
Citations

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

Fields of papers citing papers by Gianluca Barabino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianluca Barabino

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 1
2 3
3 14
4 47
5 13
6 162
7 1
8 34
9 23
10 4
11
An optimized infrastructure for deferred telemonitoring of home rehabilitation in chronic rheumatic patients
1
12 14
13 2
14 1
15
A Modular System for Data Management in VLSI Design
1

About Gianluca Barabino

Gianluca Barabino is a scholar working on Rehabilitation, Cellular and Molecular Neuroscience and Health Information Management, having authored 15 papers that have together received 321 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (4 papers), EEG and Brain-Computer Interfaces (3 papers) and Muscle activation and electromyography studies (3 papers). The work is most often cited by research in Polymers and Plastics (82 citations), Biomedical Engineering (222 citations) and Cellular and Molecular Neuroscience (57 citations). Gianluca Barabino has collaborated with scholars based in Italy, Switzerland and United Kingdom. Frequent co-authors include Danilo Pani, Beatrice Fraboni, Annalisa Bonfiglio, Luigi Raffo, Alessandro Mathieu, Matteo Piga, Massimo Barbaro, Paolo Meloni, Staniša Raspopović and Luca Citi. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Neural Systems and Rehabilitation Engineering and The Journal of Rheumatology.

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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