David Gutiérrez
- Cognitive Neuroscience top 10%
- Materials Chemistry
- Signal Processing top 10%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Co-authors
- Arye NehoraiCarlos H. MuravchikMauricio A. Ramírez-MorenoJuan MezaMichael E. ColvinRichard JudsonHiroshi KawakamiP. Díaz-Chao
- Topics
- Blind Source Separation Techniques (23 papers)EEG and Brain-Computer Interfaces (21 papers)Neural dynamics and brain function (17 papers)
- Journals
- Journal of Materials Chemistry AJournal of Colloid and Interface ScienceIEEE Transactions on Signal Processing
- Partner nations
- MexicoUnited StatesSpain
In The Last Decade
David Gutiérrez
46 papers receiving 489 citations
Peers
Comparison fields: 5 of 79
- Cognitive Neuroscience 229
- Materials Chemistry 115
- Signal Processing 101
- Electrical and Electronic Engineering 83
- Biomedical Engineering 66
Countries citing papers authored by David Gutiérrez
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 12 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 18 | |
| 6 | 11 | |
| 7 | 0 | |
| 8 | 9 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 7 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 15 | |
| 16 | 6 | |
| 17 | 3 | |
| 18 | 13 | |
| 19 | 2 | |
| 20 | 61 |
About David Gutiérrez
David Gutiérrez is a scholar working on Signal Processing, Cognitive Neuroscience and Computational Mechanics, having authored 49 papers that have together received 502 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (23 papers), EEG and Brain-Computer Interfaces (21 papers) and Neural dynamics and brain function (17 papers). The work is most often cited by research in Cognitive Neuroscience (229 citations), Signal Processing (101 citations) and Polymers and Plastics (60 citations). David Gutiérrez has collaborated with scholars based in Mexico, United States and Spain. Frequent 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. Their work appears in journals such as Journal of Materials Chemistry A, Journal of Colloid and Interface Science and IEEE Transactions on Signal Processing.
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.