Javier M. Antelis
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 5%
- Human-Computer Interaction top 0.5%
- Biomedical Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Javier MínguezIñaki IturrateAndrea KüblerLuis MontesanoCarmen EscolanoAnder Ramos‐MurguialdayNiels BirbaumerHumberto Sossa
- Topics
- EEG and Brain-Computer Interfaces (37 papers)Neuroscience and Neural Engineering (22 papers)Muscle activation and electromyography studies (15 papers)
- Partner nations
- MexicoSpainUnited States
In The Last Decade
Javier M. Antelis
46 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 73
- Cognitive Neuroscience 1.0k
- Cellular and Molecular Neuroscience 535
- Human-Computer Interaction 417
- Biomedical Engineering 257
- Electrical and Electronic Engineering 178
Countries citing papers authored by Javier M. Antelis
This map shows the geographic impact of Javier M. Antelis'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 Javier M. Antelis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier M. Antelis more than expected).
Fields of papers citing papers by Javier M. Antelis
This network shows the impact of papers produced by Javier M. Antelis. 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 Javier M. Antelis. The network helps show where Javier M. Antelis may publish in the future.
Co-authorship network of co-authors of Javier M. Antelis
This figure shows the co-authorship network connecting the top 25 collaborators of Javier M. Antelis. A scholar is included among the top collaborators of Javier M. Antelis 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 Javier M. Antelis. Javier M. Antelis 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 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 11 | |
| 11 | 3 | |
| 12 | 31 | |
| 13 | 18 | |
| 14 | 5 | |
| 15 | 14 | |
| 16 | 11 | |
| 17 | 84 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 11 |
About Javier M. Antelis
Javier M. Antelis is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Cellular and Molecular Neuroscience, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (37 papers), Neuroscience and Neural Engineering (22 papers) and Muscle activation and electromyography studies (15 papers). The work is most often cited by research in Human-Computer Interaction (417 citations), Cognitive Neuroscience (1.0k citations) and Cellular and Molecular Neuroscience (535 citations). Javier M. Antelis has collaborated with scholars based in Mexico, Spain and United States. Frequent co-authors include Javier Mínguez, Iñaki Iturrate, Andrea Kübler, Luis Montesano, Carmen Escolano, Ander Ramos‐Murguialday, Niels Birbaumer, Humberto Sossa, Luis E. Falcón-Morales and Luis Hernández. Their work appears in journals such as PLoS ONE, IEEE Access and IEEE Transactions on Biomedical Engineering.
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.