Ricardo Vigário

3.2k total citations · 1 hit paper
53 papers, 2.1k citations indexed

About

Ricardo Vigário is a scholar working on Signal Processing, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Ricardo Vigário has authored 53 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Signal Processing, 25 papers in Cognitive Neuroscience and 13 papers in Artificial Intelligence. Recurrent topics in Ricardo Vigário's work include Blind Source Separation Techniques (29 papers), Neural dynamics and brain function (19 papers) and Neural Networks and Applications (13 papers). Ricardo Vigário is often cited by papers focused on Blind Source Separation Techniques (29 papers), Neural dynamics and brain function (19 papers) and Neural Networks and Applications (13 papers). Ricardo Vigário collaborates with scholars based in Finland, Portugal and Germany. Ricardo Vigário's co-authors include Erkki Oja, Matti Hämäläinen, Jaakko Särelä, Juha Karhunen, J. Joutsensalo, Veikko Jousmäki, Riitta Hari, Matthias Scholz, Andrzej Cichocki and Włodzimierz Kasprzak and has published in prestigious journals such as NeuroImage, Journal of Neurophysiology and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Ricardo Vigário

47 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Independent component approach to the analysis of EEG and MEG recordings

2000 562 citations Ricardo Vigário, Jaakko Särelä et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ricardo Vigário Finland	17	1.3k	1.3k	433	271	149	53	2.1k
Andreas Ziehe Germany	20	1.0k 0.8×	830 0.7×	314 0.7×	304 1.1×	125 0.8×	30	1.9k
Toshihisa Tanaka Japan	28	958 0.7×	1.8k 1.4×	393 0.9×	73 0.3×	347 2.3×	243	3.0k
Laurent Albera France	24	1.0k 0.8×	716 0.6×	131 0.3×	141 0.5×	84 0.6×	74	1.8k
Kenneth E. Hild United States	20	607 0.5×	553 0.4×	347 0.8×	106 0.4×	186 1.2×	58	1.2k
James V. Stone United Kingdom	17	437 0.3×	842 0.7×	217 0.5×	153 0.6×	229 1.5×	44	1.7k
Carlos G. Puntonet Spain	26	663 0.5×	368 0.3×	475 1.1×	240 0.9×	532 3.6×	109	2.1k
Yi‐Ou Li United States	15	521 0.4×	1.2k 1.0×	125 0.3×	112 0.4×	118 0.8×	22	1.9k
Clay D. Spence United States	13	753 0.6×	586 0.5×	264 0.6×	164 0.6×	146 1.0×	36	1.4k
Jeanny Hérault France	13	1.5k 1.2×	455 0.4×	734 1.7×	610 2.3×	412 2.8×	26	2.4k
Ana Maria Tomé Portugal	21	326 0.3×	468 0.4×	271 0.6×	82 0.3×	324 2.2×	136	1.5k

Countries citing papers authored by Ricardo Vigário

Since Specialization

Citations

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

Fields of papers citing papers by Ricardo Vigário

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ricardo Vigário

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

All Works

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20 of 20 papers shown

Quaresma, Cláudia, et al.. (2025). A Framework for Corticomuscle Control Studies Using a Serious Gaming Approach. Methods and Protocols. 8(4). 74–74.

Vigário, Ricardo, et al.. (2025). Biomechanical Characterisation of Gait in Older Adults: A Cross-Sectional Study Using Inertial Sensor-Based Motion Capture. Bioengineering. 12(8). 889–889.

Vigário, Ricardo, et al.. (2025). Recovering Image Quality in Low-Dose Pediatric Renal Scintigraphy Using Deep Learning. Journal of Imaging. 11(3). 88–88. 2 indexed citations

Guede-Fernández, Federico, et al.. (2023). Image Analysis System for Early Detection of Cardiothoracic Surgery Wound Alterations Based on Artificial Intelligence Models. Applied Sciences. 13(4). 2120–2120. 6 indexed citations

Mendes, Bruno, et al.. (2022). Ortho-Monitorizer: A Portable Device to Monitor Pressure and Temperature During the Use of Upper Limb Orthoses. SN Computer Science. 4(1). 2 indexed citations

Quaresma, Cláudia, et al.. (2021). Electrophysiological effects of mindfulness meditation in a concentration test. Medical & Biological Engineering & Computing. 59(4). 759–773. 16 indexed citations

Vigário, Ricardo, et al.. (2021). Surface electromyography for testing motor dysfunction in amyotrophic lateral sclerosis. Neurophysiologie Clinique. 51(5). 454–465. 4 indexed citations

Jokinen, Hanna, Ricardo Vigário, Jari Lipsanen, et al.. (2015). Early-Stage White Matter Lesions Detected by Multispectral MRI Segmentation Predict Progressive Cognitive Decline. Frontiers in Neuroscience. 9. 455–455. 18 indexed citations

Korpela, Jussi, Ricardo Vigário, & Minna Huotilainen. (2012). The effect of automatic blink correction on auditory evoked potentials. PubMed. 2012. 625–628.

10.

Malinen, Sanna, et al.. (2009). Dependencies between stimuli and spatially independent fMRI sources: Towards brain correlates of natural stimuli. NeuroImage. 48(1). 176–185. 30 indexed citations

11.

Vigário, Ricardo, et al.. (2007). Functional Elements and Networks in fMRI. The European Symposium on Artificial Neural Networks. 561–566. 4 indexed citations

12.

Schleimer, Jan‐Hendrik & Ricardo Vigário. (2007). Order in Complex Systems of Nonlinear Oscillators: Phase Locked Subspaces.. The European Symposium on Artificial Neural Networks. 13–18. 2 indexed citations

13.

Honkela, Antti, et al.. (2005). Empirical evidence of the linear nature of magnetoencephalograms. The European Symposium on Artificial Neural Networks. 285–290. 4 indexed citations

14.

Müller, Klaus‐Robert, Ricardo Vigário, Frank C. Meinecke, & Andreas Ziehe. (2004). BLIND SOURCE SEPARATION TECHNIQUES FOR DECOMPOSING EVENT-RELATED BRAIN SIGNALS. International Journal of Bifurcation and Chaos. 14(2). 773–791. 28 indexed citations

15.

Karhunen, Juha, Aapo Hyvärinen, Ricardo Vigário, Jarmo Hurri, & Erkki Oja. (2002). Applications of neural blind separation to signal and image processing. 1. 131–134. 49 indexed citations

16.

Särelä, Jaakko, Harri Valpola, Ricardo Vigário, & Erkki Oja. (2001). Dynamical Factor Analysis Of Rhythmic Magnetoencephalographic Activity. 8 indexed citations

17.

Vigário, Ricardo & Erkki Oja. (2000). Independence: a new criterion for the analysis of the electromagnetic fields in the global brain?. Neural Networks. 13(8-9). 891–907. 45 indexed citations

18.

Vigário, Ricardo, Veikko Jousmäki, Matti Hämäläinen, Riitta Hari, & Erkki Oja. (1997). Independent Component Analysis for Identification of Artifacts in Magnetoencephalographic Recordings. Neural Information Processing Systems. 10. 229–235. 156 indexed citations

19.

Vigário, Ricardo. (1997). Extraction of ocular artefacts from EEG using independent component analysis. Electroencephalography and Clinical Neurophysiology. 103(3). 395–404. 474 indexed citations

20.

Karhunen, Juha, et al.. (1997). A class of neural networks for independent component analysis. IEEE Transactions on Neural Networks. 8(3). 486–504. 280 indexed citations

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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