José M. Sánchez‐Bornot

29 papers receiving 1.0k citations

Peers

José M. Sánchez‐Bornot
Comparison fields: 5 of 84
  • Cognitive Neuroscience 754
  • Radiology, Nuclear Medicine and Imaging 381
  • Signal Processing 119
  • Artificial Intelligence 102
  • Psychiatry and Mental health 78
Replace Gholam‐Ali Hossein‐Zadeh with:
Gholam‐Ali Hossein‐Zadeh Iran
Stavros I. Dimitriadis United Kingdom
Agustín Lage‐Castellanos Cuba
Lutz Leistritz Germany
Noah Lee United States
Nicolle Correa United States
Tülay Adalı United States
R. Biscay Cuba
Yi‐Ou Li United States
Biao Jie China
José M. Sánchez‐Bornot relative to Gholam‐Ali Hossein‐Zadeh Iran Gholam‐Ali Hossein‐Zadeh's profile →
Citations per field
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Gholam‐Ali Hossein‐Zadeh · 1×
Citations per year

Countries citing papers authored by José M. Sánchez‐Bornot

Since Specialization
Citations

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

Fields of papers citing papers by José M. Sánchez‐Bornot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José M. Sánchez‐Bornot. 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 José M. Sánchez‐Bornot. The network helps show where José M. Sánchez‐Bornot may publish in the future.

Co-authorship network of co-authors of José M. Sánchez‐Bornot

This figure shows the co-authorship network connecting the top 25 collaborators of José M. Sánchez‐Bornot. A scholar is included among the top collaborators of José M. Sánchez‐Bornot 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 José M. Sánchez‐Bornot. José M. Sánchez‐Bornot 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 1
3 0
4 2
5 2
6 4
7 3
8 22
9 8
10 83
11 32
12 10
13 44
14
Penalized Least Squares methods for solving the EEG Inverse Problem
38
15
UNCOVERING SPARSE BRAIN EFFECTIVE CONNECTIVITY: A VOXEL-BASED APPROACH USING PENALIZED REGRESSION
16
16
Penalized PARAFAC analysis of spontaneous EEG recordings
13
17 12
18 145
19 29
20 267

About José M. Sánchez‐Bornot

José M. Sánchez‐Bornot is a scholar working on Cognitive Neuroscience, Signal Processing and Psychiatry and Mental health, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (21 papers), Neural dynamics and brain function (13 papers) and EEG and Brain-Computer Interfaces (12 papers). The work is most often cited by research in Cognitive Neuroscience (754 citations), Computational Mathematics (22 citations) and Radiology, Nuclear Medicine and Imaging (381 citations). José M. Sánchez‐Bornot has collaborated with scholars based in United Kingdom, Cuba and Malaysia. Frequent co-authors include Pedro A. Valdés‐Sosa, Eduardo Martínez‐Montes, Erick J. Canales‐Rodríguez, Lester Melie‐García, Yasser Iturria‐Medina, Yasser Alemán‐Gómez, Mayrim Vega‐Hernández, Jorge Bosch‐Bayard, Agustín Lage‐Castellanos and Pedro A. Valdés-Hernández. Their work appears in journals such as NeuroImage, Philosophical Transactions of the Royal Society B Biological Sciences and IEEE Transactions on Biomedical Engineering.

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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