Manuel Vázquez-Marrufo

546 total citations
31 papers, 395 citations indexed

About

Manuel Vázquez-Marrufo is a scholar working on Cognitive Neuroscience, Pathology and Forensic Medicine and Sensory Systems. According to data from OpenAlex, Manuel Vázquez-Marrufo has authored 31 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 10 papers in Pathology and Forensic Medicine and 7 papers in Sensory Systems. Recurrent topics in Manuel Vázquez-Marrufo's work include Neural dynamics and brain function (17 papers), EEG and Brain-Computer Interfaces (14 papers) and Neural and Behavioral Psychology Studies (10 papers). Manuel Vázquez-Marrufo is often cited by papers focused on Neural dynamics and brain function (17 papers), EEG and Brain-Computer Interfaces (14 papers) and Neural and Behavioral Psychology Studies (10 papers). Manuel Vázquez-Marrufo collaborates with scholars based in Spain, Portugal and Italy. Manuel Vázquez-Marrufo's co-authors include Carlos M. Gómez, Javier J. González-Rosa, Alejandro Galvao-Carmona, Guillermo Izquierdo, Antonio R. Hidalgo-Muñoz, Pablo Duque, Rubén Martı́n-Clemente, Encarna Vaquero, Isabel M. Santos and Ana Maria Tomé and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Manuel Vázquez-Marrufo

29 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel Vázquez-Marrufo Spain 13 242 130 69 39 36 31 395
Hanni Kiiski Ireland 14 244 1.0× 109 0.8× 41 0.6× 28 0.7× 49 1.4× 21 405
Paolo Misci Italy 5 354 1.5× 322 2.5× 17 0.2× 53 1.4× 44 1.2× 6 600
Encarna Vaquero Spain 8 253 1.0× 23 0.2× 25 0.4× 33 0.8× 23 0.6× 12 344
Cao Tri Switzerland 6 159 0.7× 151 1.2× 16 0.2× 61 1.6× 35 1.0× 13 426
Pieter Poolman United States 10 130 0.5× 26 0.2× 19 0.3× 20 0.5× 28 0.8× 17 326
Marco Rubino Italy 12 185 0.8× 42 0.3× 13 0.2× 71 1.8× 64 1.8× 16 374
R D Yee United States 8 119 0.5× 100 0.8× 37 0.5× 21 0.5× 156 4.3× 12 359
Anne‐Isabelle Vermersch France 3 307 1.3× 42 0.3× 12 0.2× 21 0.5× 118 3.3× 5 425
Minnan Xu-Wilson United States 10 437 1.8× 33 0.3× 22 0.3× 26 0.7× 146 4.1× 15 667
Josué Luiz Dalboni da Rocha United States 9 159 0.7× 43 0.3× 8 0.1× 16 0.4× 37 1.0× 19 309

Countries citing papers authored by Manuel Vázquez-Marrufo

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Vázquez-Marrufo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manuel Vázquez-Marrufo. 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 Manuel Vázquez-Marrufo. The network helps show where Manuel Vázquez-Marrufo may publish in the future.

Co-authorship network of co-authors of Manuel Vázquez-Marrufo

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Vázquez-Marrufo. A scholar is included among the top collaborators of Manuel Vázquez-Marrufo 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 Manuel Vázquez-Marrufo. Manuel Vázquez-Marrufo 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
1.
Vázquez-Marrufo, Manuel, et al.. (2023). Analysis of Physical–Cognitive Tasks Including Feedback-Based Technology for Alzheimer’s Disorder in a Randomized Experimental Pilot Study. Journal of Clinical Medicine. 12(17). 5484–5484. 3 indexed citations
2.
Berchicci, Marika, et al.. (2022). Temporal spectral evolution of pre-stimulus brain activity in visual and visuomotor tasks. Cognitive Neurodynamics. 17(6). 1433–1446. 3 indexed citations
3.
Vázquez-Marrufo, Manuel, et al.. (2022). A systematic review of the application of machine-learning algorithms in multiple sclerosis. Neurología (English Edition). 38(8). 577–590. 17 indexed citations
4.
Martı́n-Clemente, Rubén, et al.. (2022). Effect of the side of presentation in the visual field on phase-locked and nonphase-locked alpha and gamma responses. Scientific Reports. 12(1). 13200–13200.
5.
Vázquez-Marrufo, Manuel, et al.. (2022). Attentional networks in neurodegenerative diseases: anatomical and functional evidence from the Attention Network Test. SHILAP Revista de lepidopterología. 38(3). 206–217. 8 indexed citations
6.
Suárez-Serrano, Carmen, et al.. (2022). Effectiveness of feedback-based technology on physical and cognitive abilities in the elderly. Frontiers in Aging Neuroscience. 14. 1050518–1050518. 7 indexed citations
7.
Eichau, Sara, et al.. (2021). Deficits in Early Sensory and Cognitive Processing Are Related to Phase and Nonphase EEG Activity in Multiple Sclerosis Patients. Brain Sciences. 11(5). 629–629. 5 indexed citations
8.
Vázquez-Marrufo, Manuel, et al.. (2021). Revisión sistemática de la aplicación de algoritmos de «machine learning» en la esclerosis múltiple. Neurología. 38(8). 577–590. 10 indexed citations
9.
Vázquez-Marrufo, Manuel, et al.. (2020). Reliability analysis of individual visual P1 and N1 maps indicates the heterogeneous topographies involved in early visual processing among human subjects. Behavioural Brain Research. 397. 112930–112930. 2 indexed citations
10.
Vázquez-Marrufo, Manuel, et al.. (2020). Individual test-retest reliability of evoked and induced alpha activity in human EEG data. PLoS ONE. 15(9). e0239612–e0239612. 10 indexed citations
11.
Vázquez-Marrufo, Manuel, et al.. (2019). Altered individual behavioral and EEG parameters are related to the EDSS score in relapsing-remitting multiple sclerosis patients. PLoS ONE. 14(7). e0219594–e0219594. 14 indexed citations
12.
Gómez, Carlos M., et al.. (2017). Reduction of EEG power during expectancy periods in humans. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 1 indexed citations
13.
Vázquez-Marrufo, Manuel, et al.. (2017). Retest reliability of individual alpha ERD topography assessed by human electroencephalography. PLoS ONE. 12(10). e0187244–e0187244. 14 indexed citations
14.
Vázquez-Marrufo, Manuel, et al.. (2014). Neural Correlates of Alerting and Orienting Impairment in Multiple Sclerosis Patients. PLoS ONE. 9(5). e97226–e97226. 35 indexed citations
15.
Vázquez-Marrufo, Manuel, et al.. (2013). Retest Reliability of Individual P3 Topography Assessed by High Density Electroencephalography. PLoS ONE. 8(5). e62523–e62523. 17 indexed citations
16.
Hidalgo-Muñoz, Antonio R., M. López, Alejandro Galvao-Carmona, et al.. (2013). EEG study on affective valence elicited by novel and familiar pictures using ERD/ERS and SVM-RFE. Medical & Biological Engineering & Computing. 52(2). 149–158. 7 indexed citations
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González-Rosa, Javier J., Manuel Vázquez-Marrufo, Pablo Duque, et al.. (2006). Differential cognitive impairment for diverse forms of multiple sclerosis. BMC Neuroscience. 7(1). 39–39. 37 indexed citations
20.
Gómez, Carlos M., Encarna Vaquero, & Manuel Vázquez-Marrufo. (2004). A neurocognitive model for short-term sensory and motor preparatory activity in humans. Psicologica. 25(2). 217–229. 21 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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