Caterina Cinel

1.4k total citations
50 papers, 938 citations indexed

About

Caterina Cinel is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Caterina Cinel has authored 50 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Cognitive Neuroscience, 10 papers in Cellular and Molecular Neuroscience and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Caterina Cinel's work include EEG and Brain-Computer Interfaces (34 papers), Neural dynamics and brain function (24 papers) and Neural and Behavioral Psychology Studies (17 papers). Caterina Cinel is often cited by papers focused on EEG and Brain-Computer Interfaces (34 papers), Neural dynamics and brain function (24 papers) and Neural and Behavioral Psychology Studies (17 papers). Caterina Cinel collaborates with scholars based in United Kingdom, United States and Switzerland. Caterina Cinel's co-authors include Riccardo Poli, Davide Valeriani, Luca Citi, Francisco Sepulveda, Glyn W. Humphreys, Riccardo Russo, Elaine Fox, Glyn W. Humphreys, Andrew Olson and Jeremy M. Wolfe and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Caterina Cinel

49 papers receiving 890 citations

Peers

Caterina Cinel
Comparison fields: 5 of 95
  • Cognitive Neuroscience 756
  • Cellular and Molecular Neuroscience 210
  • Electrical and Electronic Engineering 130
  • Experimental and Cognitive Psychology 111
  • Human-Computer Interaction 95
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Citations per field, relative to Caterina Cinel
Caterina Cinel · 1×
Citations per year, relative to Caterina Cinel
Caterina Cinel · 1×

Countries citing papers authored by Caterina Cinel

Since Specialization
Citations

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

Fields of papers citing papers by Caterina Cinel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caterina Cinel

This figure shows the co-authorship network connecting the top 25 collaborators of Caterina Cinel. A scholar is included among the top collaborators of Caterina Cinel 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 Caterina Cinel. Caterina Cinel 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
# Work Indexed citations
1 0
2 6
3 3
4 9
5 33
6 42
7 3
8 22
9 6
10 28
11 45
12 7
13
Analogue evolutionary brain computer interfaces
4
14 92
15 15
16 21
17 47
18 31
19 27
20 87

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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