David Gutiérrez

748 total citations
49 papers, 502 citations indexed

About

David Gutiérrez is a scholar working on Cognitive Neuroscience, Signal Processing and Computational Mechanics. According to data from OpenAlex, David Gutiérrez has authored 49 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cognitive Neuroscience, 24 papers in Signal Processing and 14 papers in Computational Mechanics. Recurrent topics in David Gutiérrez's work include Blind Source Separation Techniques (23 papers), EEG and Brain-Computer Interfaces (21 papers) and Neural dynamics and brain function (17 papers). David Gutiérrez is often cited by papers focused on Blind Source Separation Techniques (23 papers), EEG and Brain-Computer Interfaces (21 papers) and Neural dynamics and brain function (17 papers). David Gutiérrez collaborates with scholars based in Mexico, United States and Spain. David Gutiérrez's co-authors include Arye Nehorai, Carlos H. Muravchik, Mauricio A. Ramírez-Moreno, Juan Meza, Michael E. Colvin, Richard Judson, Hiroshi Kawakami, P. Díaz-Chao, Marisol Martín‐González and Laurent Aubouy and has published in prestigious journals such as Journal of Materials Chemistry A, Journal of Colloid and Interface Science and IEEE Transactions on Signal Processing.

In The Last Decade

David Gutiérrez

46 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Gutiérrez Mexico 12 229 115 101 83 66 49 502
Sanggyun Kim United States 14 252 1.1× 214 1.9× 117 1.2× 317 3.8× 78 1.2× 39 888
Makoto Hirano Japan 11 217 0.9× 48 0.4× 53 0.5× 308 3.7× 89 1.3× 71 695
Jack R. Smith United States 19 390 1.7× 66 0.6× 121 1.2× 125 1.5× 192 2.9× 45 901
Chetan Singh Thakur India 16 165 0.7× 192 1.7× 30 0.3× 592 7.1× 99 1.5× 76 855
Jesse Engel United States 15 79 0.3× 414 3.6× 194 1.9× 468 5.6× 72 1.1× 28 865
Hakkee Jung South Korea 11 89 0.4× 246 2.1× 10 0.1× 457 5.5× 103 1.6× 60 738
Xiong Zhang China 13 244 1.1× 39 0.3× 62 0.6× 167 2.0× 166 2.5× 36 501
W. Klonowski Poland 11 125 0.5× 49 0.4× 24 0.2× 10 0.1× 81 1.2× 23 465

Countries citing papers authored by David Gutiérrez

Since Specialization
Citations

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

Fields of papers citing papers by David Gutiérrez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Gutiérrez

This figure shows the co-authorship network connecting the top 25 collaborators of David Gutiérrez. A scholar is included among the top collaborators of David Gutiérrez 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 David Gutiérrez. David Gutiérrez 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.
Odonkor, Charles A., et al.. (2025). Clinical Predictors of Pain Relief with 60-Day Peripheral Nerve Stimulation: A Multicenter Observational Study. Journal of Pain Research. Volume 18. 3963–3976. 1 indexed citations
2.
Gutiérrez, David, et al.. (2020). On the Assessment of Functional Connectivity in an Immersive Brain-Computer Interface During Motor Imagery. Frontiers in Psychology. 11. 1301–1301. 12 indexed citations
3.
Gutiérrez, David, et al.. (2018). Using cortico-muscular and cortico-cardiac coherence to study the role of the brain in the development of muscular fatigue. Biomedical Signal Processing and Control. 48. 153–160. 6 indexed citations
4.
Hernández-Rodríguez, M.A.L., et al.. (2017). Microdamage distribution in fatigue fractures of bone allografts following gamma-ray exposure. PubMed. 19(4). 42–53. 2 indexed citations
5.
Gutiérrez, David, et al.. (2017). Using the Partial Directed Coherence to Assess Functional Connectivity in Electroencephalography Data for Brain–Computer Interfaces. IEEE Transactions on Cognitive and Developmental Systems. 10(3). 776–783. 18 indexed citations
6.
Lorenzo, Maria Laura Di, Mariacristina Cocca, Maurizio Avella, et al.. (2016). Down shifting in poly(vinyl alcohol) gels doped with terbium complex. Journal of Colloid and Interface Science. 477. 34–39. 11 indexed citations
7.
Gutiérrez, David, et al.. (2016). New Perspectives on the Use of Spatial Filters in Magnetoencephalographic Array Processing. Computación y Sistemas. 20(1).
8.
Gutiérrez, David, et al.. (2015). A Link between the Increase in Electroencephalographic Coherence and Performance Improvement in Operating a Brain-Computer Interface. Computational Intelligence and Neuroscience. 2015. 1–11. 9 indexed citations
9.
López-Arévalo, Iván, et al.. (2014). Multicompare Tests of the Performance of Different Metaheuristics in EEG Dipole Source Localization. The Scientific World JOURNAL. 2014. 1–9. 2 indexed citations
10.
Lorenzo, Maria Laura Di, Mariacristina Cocca, Gennaro Gentile, et al.. (2013). Thermoreversible luminescent organogels doped with Eu(TTA)3phen complex. Journal of Colloid and Interface Science. 398. 95–102. 7 indexed citations
11.
Gutiérrez, David, et al.. (2013). Performance of different metaheuristics in EEG source localization compared to the Cramér–Rao bound. Neurocomputing. 120. 597–609. 7 indexed citations
12.
Gutiérrez, David, et al.. (2011). EEG signal classification using time-varying autoregressive models and common spatial patterns. PubMed. 2011. 6585–6588. 3 indexed citations
13.
14.
Gutiérrez, David, Hubert Preißl, Hari Eswaran, & Curtis L. Lowery. (2007). A study of fetal sympatho-vagal balance at various gestational periods using the length transform on magnetocardiographic data. 190. 685–688. 1 indexed citations
15.
Gutiérrez, David, Arye Nehorai, & A. Dogandzic. (2006). Performance analysis of reduced-rank beamformers for estimating dipole source signals using EEG/MEG. IEEE Transactions on Biomedical Engineering. 53(5). 840–844. 15 indexed citations
16.
Gutiérrez, David, Fabián García Nocetti, & J. Solano. (2006). Classification of Multichannel EEG Data Using Length/Energy Transforms. 221–224. 6 indexed citations
17.
Waldert, Stephan, David Gutiérrez, Arye Nehorai, et al.. (2005). Real-time Access of Magnetoencephalographic / -cardiographic Data: Technical Realization & Application to Online Fetal Heart Rate Recording. PubMed. 2005. 5987–5990. 3 indexed citations
18.
Gutiérrez, David, Arye Nehorai, & Hubert Preißl. (2005). Ellipsoidal head model for fetal magnetoencephalography: forward and inverse solutions. Physics in Medicine and Biology. 50(9). 2141–2157. 13 indexed citations
19.
Gutiérrez, David, Arye Nehorai, & A. Dogandzic. (2005). MEG source estimation in the presence of low-rank interference using cross-spectral metrics. PubMed. 3. 990–993. 2 indexed citations
20.
Gutiérrez, David, Arye Nehorai, & Carlos H. Muravchik. (2004). Estimating Brain Conductivities and Dipole Source Signals With EEG Arrays. IEEE Transactions on Biomedical Engineering. 51(12). 2113–2122. 61 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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