Sergio Pérez-Velasco

437 total citations
15 papers, 255 citations indexed

About

Sergio Pérez-Velasco is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Sergio Pérez-Velasco has authored 15 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Sergio Pérez-Velasco's work include EEG and Brain-Computer Interfaces (12 papers), Neuroscience and Neural Engineering (6 papers) and Advanced Memory and Neural Computing (5 papers). Sergio Pérez-Velasco is often cited by papers focused on EEG and Brain-Computer Interfaces (12 papers), Neuroscience and Neural Engineering (6 papers) and Advanced Memory and Neural Computing (5 papers). Sergio Pérez-Velasco collaborates with scholars based in Spain, Netherlands and United Kingdom. Sergio Pérez-Velasco's co-authors include Eduardo Santamaría-Vázquez, Víctor Martínez-Cagigal, Roberto Hornero, R. Delgado, Peter Desain, Jordy Thielen, Gonzalo Arranz, Víctor Rodríguez-González, Gary A. Eiceman and Juan Fernández de la Mora and has published in prestigious journals such as Analytical Chemistry, Expert Systems with Applications and Frontiers in Human Neuroscience.

In The Last Decade

Sergio Pérez-Velasco

15 papers receiving 249 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sergio Pérez-Velasco Spain	9	159	65	59	55	38	15	255
Hamdi Melih Saraoğlu Türkiye	9	119 0.7×	18 0.3×	71 1.2×	14 0.3×	136 3.6×	29	309
Xinyu Wu China	7	96 0.6×	20 0.3×	20 0.3×	33 0.6×	141 3.7×	15	376
David Chik United Kingdom	11	217 1.4×	39 0.6×	47 0.8×	23 0.4×	15 0.4×	22	379
Matthew R. Masters United States	8	104 0.7×	85 1.3×	17 0.3×	11 0.2×	123 3.2×	14	276
Sujit Roy United Kingdom	10	157 1.0×	61 0.9×	86 1.5×		26 0.7×	23	332
Marie‐Constance Corsi France	10	316 2.0×	59 0.9×	25 0.4×	6 0.1×	25 0.7×	27	438
Marco Carraro Italy	11	33 0.2×	15 0.2×	7 0.1×	35 0.6×	11 0.3×	26	250
Michelle Rudolph France	10	309 1.9×	194 3.0×	89 1.5×	5 0.1×	6 0.2×	15	404
Steve N’Guyen France	5	35 0.2×	16 0.2×	54 0.9×	137 2.5×	65 1.7×	13	247
Teresa Murta United Kingdom	10	260 1.6×	34 0.5×	3 0.1×	75 1.4×	25 0.7×	18	384

Countries citing papers authored by Sergio Pérez-Velasco

Since Specialization

Citations

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

Fields of papers citing papers by Sergio Pérez-Velasco

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergio Pérez-Velasco. 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 Sergio Pérez-Velasco. The network helps show where Sergio Pérez-Velasco may publish in the future.

Co-authorship network of co-authors of Sergio Pérez-Velasco

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

All Works

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15 of 15 papers shown

Pérez-Velasco, Sergio, et al.. (2025). Bridging motor execution and motor imagery BCI paradigms: An inter-task transfer learning approach. Biomedical Signal Processing and Control. 107. 107834–107834. 2 indexed citations

Pérez-Velasco, Sergio, et al.. (2024). Unraveling motor imagery brain patterns using explainable artificial intelligence based on Shapley values. Computer Methods and Programs in Biomedicine. 246. 108048–108048. 7 indexed citations

Martínez-Cagigal, Víctor, et al.. (2023). Assessing the Potential of Brain-Computer Interface Multiplayer Video Games using c-VEPs: A Pilot Study. PubMed. 2023. 1–4. 2 indexed citations

Martínez-Cagigal, Víctor, et al.. (2023). Nonparametric Early Stopping Detection for c-VEP-based Brain-Computer Interfaces: A Pilot Study. PubMed. 2023. 1–4. 1 indexed citations

Santamaría-Vázquez, Eduardo, et al.. (2023). MEDUSA©: A novel Python-based software ecosystem to accelerate brain-computer interface and cognitive neuroscience research. Computer Methods and Programs in Biomedicine. 230. 107357–107357. 24 indexed citations

Martínez-Cagigal, Víctor, et al.. (2023). Combining brain-computer interfaces and multiplayer video games: an application based on c-VEPs. Frontiers in Human Neuroscience. 17. 1227727–1227727. 6 indexed citations

Santamaría-Vázquez, Eduardo, et al.. (2023). ITACA: An open-source framework for Neurofeedback based on Brain–Computer Interfaces. Computers in Biology and Medicine. 160. 107011–107011. 3 indexed citations

Martínez-Cagigal, Víctor, et al.. (2023). Non-binary m-sequences for more comfortable brain–computer interfaces based on c-VEPs. Expert Systems with Applications. 232. 120815–120815. 12 indexed citations

Santamaría-Vázquez, Eduardo, et al.. (2022). Robust asynchronous control of ERP-Based brain-Computer interfaces using deep learning. Computer Methods and Programs in Biomedicine. 215. 106623–106623. 9 indexed citations

10.

Pérez-Velasco, Sergio, et al.. (2022). EEGSym: Overcoming Inter-Subject Variability in Motor Imagery Based BCIs With Deep Learning. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30. 1766–1775. 45 indexed citations

11.

Martínez-Cagigal, Víctor, Jordy Thielen, Eduardo Santamaría-Vázquez, et al.. (2021). Brain–computer interfaces based on code-modulated visual evoked potentials (c-VEP): a literature review. Journal of Neural Engineering. 18(6). 61002–61002. 52 indexed citations

12.

Martínez-Cagigal, Víctor, et al.. (2021). Neurofeedback Training Based on Motor Imagery Strategies Increases EEG Complexity in Elderly Population. Entropy. 23(12). 1574–1574. 13 indexed citations

13.

Pérez-Velasco, Sergio, et al.. (2019). Tandem Ion Mobility Spectrometry for the Detection of Traces of Explosives in Cargo at Concentrations of Parts Per Quadrillion. Analytical Chemistry. 91(21). 14009–14018. 40 indexed citations

14.

Pérez-Velasco, Sergio, et al.. (2018). Planar Differential Mobility Analyzer with a Resolving Power of 110. Analytical Chemistry. 90(11). 6735–6741. 26 indexed citations

15.

Pérez-Velasco, Sergio, et al.. (2018). Ion Mobility Spectrometer-Fragmenter-Ion Mobility Spectrometer Analogue of a Triple Quadrupole for High-Resolution Ion Analysis at Atmospheric Pressure. Analytical Chemistry. 90(11). 6885–6892. 13 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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