David Elı́as-Viñas
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience top 10%
- Biophysics top 5%
- Physiology
- Molecular Biology
- Co-authors
- Leticia Verdugo-Dı́azJessica Cantillo-NegreteJosefina Gutiérrez-MartínezRuben I. Carino-EscobarPaul Carrillo‐MoraPatricia V. Torres-DuránMarco Antonio Juárez-OropezaRosalinda Guevara‐Guzmán
- Topics
- Neuroscience and Neural Engineering (8 papers)EEG and Brain-Computer Interfaces (8 papers)Neuroscience and Neuropharmacology Research (7 papers)
- Partner nations
- MexicoUnited StatesVenezuela
In The Last Decade
David Elı́as-Viñas
29 papers receiving 416 citations
Peers
Comparison fields: 5 of 79
- Cognitive Neuroscience 168
- Cellular and Molecular Neuroscience 157
- Biophysics 111
- Physiology 82
- Molecular Biology 74
Countries citing papers authored by David Elı́as-Viñas
This map shows the geographic impact of David Elı́as-Viñas'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 Elı́as-Viñas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Elı́as-Viñas more than expected).
Fields of papers citing papers by David Elı́as-Viñas
This network shows the impact of papers produced by David Elı́as-Viñas. 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 Elı́as-Viñas. The network helps show where David Elı́as-Viñas may publish in the future.
Co-authorship network of co-authors of David Elı́as-Viñas
This figure shows the co-authorship network connecting the top 25 collaborators of David Elı́as-Viñas. A scholar is included among the top collaborators of David Elı́as-Viñas 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 Elı́as-Viñas. David Elı́as-Viñas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 8 | |
| 10 | 11 | |
| 11 | 29 | |
| 12 | 4 | |
| 13 | [Characterization of electrical brain activity related to hand motor imagery in healthy subjects]. | 4 |
| 14 | Los sistemas de interfaz cerebro-computadora: una herramienta para apoyar la rehabilitación de pacientes con discapacidad motora | 2 |
| 15 | 22 | |
| 16 | 23 | |
| 17 | 52 | |
| 18 | 7 | |
| 19 | 37 | |
| 20 | 13 |
About David Elı́as-Viñas
David Elı́as-Viñas is a scholar working on Cellular and Molecular Neuroscience, Biophysics and Cognitive Neuroscience, having authored 29 papers that have together received 426 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (8 papers), EEG and Brain-Computer Interfaces (8 papers) and Neuroscience and Neuropharmacology Research (7 papers). The work is most often cited by research in Biophysics (111 citations), Cognitive Neuroscience (168 citations) and Cellular and Molecular Neuroscience (157 citations). David Elı́as-Viñas has collaborated with scholars based in Mexico, United States and Venezuela. Frequent co-authors include Leticia Verdugo-Dı́az, Jessica Cantillo-Negrete, Josefina Gutiérrez-Martínez, Ruben I. Carino-Escobar, Paul Carrillo‐Mora, Patricia V. Torres-Durán, Marco Antonio Juárez-Oropeza, Rosalinda Guevara‐Guzmán, Aldo Ferreira‐Hermosillo and David E. Garcı́a. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Brain Research.
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.