Hugo Vélez‐Pérez
- Cognitive Neuroscience top 10%
- Signal Processing top 10%
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Biomedical Engineering
- Co-authors
- Radu RantaLouis MaillardDidier MaquinJ. Alejandro MoralesGerardo Mendizabal‐RuizAndrés A. González‐GarridoRicardo A. Salido-RuizValérie Louis-Dorr
- Topics
- EEG and Brain-Computer Interfaces (13 papers)Neural dynamics and brain function (8 papers)Functional Brain Connectivity Studies (6 papers)
- Journals
- PLoS ONESensorsPsychophysiology
In The Last Decade
Hugo Vélez‐Pérez
25 papers receiving 278 citations
Peers
Comparison fields: 5 of 69
- Cognitive Neuroscience 175
- Signal Processing 89
- Molecular Biology 54
- Cardiology and Cardiovascular Medicine 41
- Biomedical Engineering 27
Countries citing papers authored by Hugo Vélez‐Pérez
This map shows the geographic impact of Hugo Vélez‐Pérez'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 Hugo Vélez‐Pérez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hugo Vélez‐Pérez more than expected).
Fields of papers citing papers by Hugo Vélez‐Pérez
This network shows the impact of papers produced by Hugo Vélez‐Pérez. 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 Hugo Vélez‐Pérez. The network helps show where Hugo Vélez‐Pérez may publish in the future.
Co-authorship network of co-authors of Hugo Vélez‐Pérez
This figure shows the co-authorship network connecting the top 25 collaborators of Hugo Vélez‐Pérez. A scholar is included among the top collaborators of Hugo Vélez‐Pérez 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 Hugo Vélez‐Pérez. Hugo Vélez‐Pérez 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 | 6 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 21 | |
| 11 | 3 | |
| 12 | 19 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 17 | |
| 17 | EEG preprocessing for synchronization estimation and epilepsy lateralization | 1 |
| 18 | 131 | |
| 19 | 5 | |
| 20 | 5 |
About Hugo Vélez‐Pérez
Hugo Vélez‐Pérez is a scholar working on Cognitive Neuroscience, Statistics and Probability and Developmental and Educational Psychology, having authored 28 papers that have together received 284 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (13 papers), Neural dynamics and brain function (8 papers) and Functional Brain Connectivity Studies (6 papers). The work is most often cited by research in Cognitive Neuroscience (175 citations), Signal Processing (89 citations) and Statistics and Probability (19 citations). Hugo Vélez‐Pérez has collaborated with scholars based in Mexico, France and Argentina. Frequent co-authors include Radu Ranta, Louis Maillard, Didier Maquin, J. Alejandro Morales, Gerardo Mendizabal‐Ruiz, Andrés A. González‐Garrido, Ricardo A. Salido-Ruiz, Valérie Louis-Dorr, Miguel Ángel Platas-Garza and José M. Azorín. Their work appears in journals such as PLoS ONE, Sensors and Psychophysiology.
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.