Jordi Solé‐Casals

2.8k citations
126 papers · 1.8k indexed · h-index 24
Topics
EEG and Brain-Computer Interfaces (52 papers)Blind Source Separation Techniques (37 papers)Neural dynamics and brain function (16 papers)
Partner nations
SpainUnited KingdomChina

In The Last Decade

Jordi Solé‐Casals

119 papers receiving 1.8k citations

Peers

Jordi Solé‐Casals
Comparison fields: 5 of 147
  • Cognitive Neuroscience 852
  • Signal Processing 294
  • Artificial Intelligence 279
  • Experimental and Cognitive Psychology 220
  • Control and Systems Engineering 206
Replace Nadia Mammone with:
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Citations per field
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Citations per year

Countries citing papers authored by Jordi Solé‐Casals

Since Specialization
Citations

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

Fields of papers citing papers by Jordi Solé‐Casals

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jordi Solé‐Casals. 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 Jordi Solé‐Casals. The network helps show where Jordi Solé‐Casals may publish in the future.

Co-authorship network of co-authors of Jordi Solé‐Casals

This figure shows the co-authorship network connecting the top 25 collaborators of Jordi Solé‐Casals. A scholar is included among the top collaborators of Jordi Solé‐Casals 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 Jordi Solé‐Casals. Jordi Solé‐Casals 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 0
2 4
3 3
4 3
5 8
6 3
7 7
8 8
9 29
10 15
11 36
12 5
13 11
14 1
15
EEG based user recognition using BUMP modelling
17
16 4
17 58
18
Bump time-frequency toolbox: a toolbox for time-frequency oscillatory bursts extraction in electrophysiological signals
1
19
Nonlinear prediction based on score function
1
20
Parametric approach to blind deconvolution of nonlinear channels.
4

About Jordi Solé‐Casals

Jordi Solé‐Casals is a scholar working on Computational Mathematics, Signal Processing and Cognitive Neuroscience, having authored 126 papers that have together received 1.8k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (52 papers), Blind Source Separation Techniques (37 papers) and Neural dynamics and brain function (16 papers). The work is most often cited by research in Computational Mathematics (41 citations), Cognitive Neuroscience (852 citations) and Health Informatics (52 citations). Jordi Solé‐Casals has collaborated with scholars based in Spain, United Kingdom and China. Frequent co-authors include Andrzej Cichocki, Zhe Sun, Pere Martí-Puig, Feng Duan, François Vialatte, César F. Caiafa, Karmele López de Ipiña, Marcos Faúndez-Zanuy, Carlos M. Travieso and J. Cusidó. Their work appears in journals such as PLoS ONE, Scientific Reports and IEEE Access.

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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