Óscar Yáñez-Suárez
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Cardiology and Cardiovascular Medicine
- Biomedical Engineering
- Neurology
- Co-authors
- Verónica Medina-BañuelosMercedes J. Gaitán-GonzálezR. González-CamarenaM.R. Azimi-SadjadiTeodoro Solis‐EscalanteRosa M. González‐GuardaErnesto BribiescaEdgar Garduño
- Topics
- EEG and Brain-Computer Interfaces (26 papers)Medical Image Segmentation Techniques (14 papers)Neural dynamics and brain function (10 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Biomedical EngineeringIEEE Transactions on Medical Imaging
- Partner nations
- MexicoUnited StatesArgentina
In The Last Decade
Óscar Yáñez-Suárez
49 papers receiving 443 citations
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 176
- Cognitive Neuroscience 154
- Cardiology and Cardiovascular Medicine 95
- Biomedical Engineering 63
- Neurology 63
Countries citing papers authored by Óscar Yáñez-Suárez
This map shows the geographic impact of Óscar Yáñez-Suárez'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 Óscar Yáñez-Suárez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Óscar Yáñez-Suárez more than expected).
Fields of papers citing papers by Óscar Yáñez-Suárez
This network shows the impact of papers produced by Óscar Yáñez-Suárez. 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 Óscar Yáñez-Suárez. The network helps show where Óscar Yáñez-Suárez may publish in the future.
Co-authorship network of co-authors of Óscar Yáñez-Suárez
This figure shows the co-authorship network connecting the top 25 collaborators of Óscar Yáñez-Suárez. A scholar is included among the top collaborators of Óscar Yáñez-Suárez 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 Óscar Yáñez-Suárez. Óscar Yáñez-Suárez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | Optimized Detection of the Infrequent Response in P300-Based Brain-Computer Interfaces | 2 |
| 9 | 23 | |
| 10 | 2 | |
| 11 | 20 | |
| 12 | 11 | |
| 13 | 8 | |
| 14 | 1 | |
| 15 | 79 | |
| 16 | 1 | |
| 17 | 32 | |
| 18 | 33 | |
| 19 | 23 | |
| 20 | 1 |
About Óscar Yáñez-Suárez
Óscar Yáñez-Suárez is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Signal Processing, having authored 57 papers that have together received 469 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (26 papers), Medical Image Segmentation Techniques (14 papers) and Neural dynamics and brain function (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (176 citations), Cognitive Neuroscience (154 citations) and Neurology (63 citations). Óscar Yáñez-Suárez has collaborated with scholars based in Mexico, United States and Argentina. Frequent co-authors include Verónica Medina-Bañuelos, Mercedes J. Gaitán-González, R. González-Camarena, M.R. Azimi-Sadjadi, Teodoro Solis‐Escalante, Rosa M. González‐Guarda, Ernesto Bribiesca, Edgar Garduño, Laurent Bougrain and Charlotte Rosso. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.
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.