José M. Azorín
- Cognitive Neuroscience top 1%
- Biomedical Engineering top 5%
- Cellular and Molecular Neuroscience top 2%
- Human-Computer Interaction top 0.5%
- Rehabilitation top 2%
- Co-authors
- Eduardo IáñezAndrés ÚbedaEnrique HortalMario OrtízEduardo FernándezÁlvaro CostaJosé L. Contreras-VidalRafaél Aracil
- Topics
- EEG and Brain-Computer Interfaces (106 papers)Neuroscience and Neural Engineering (66 papers)Muscle activation and electromyography studies (58 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEAutomatica
- Partner nations
- SpainMexicoUnited States
In The Last Decade
José M. Azorín
149 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 106
- Cognitive Neuroscience 1.4k
- Biomedical Engineering 736
- Cellular and Molecular Neuroscience 680
- Human-Computer Interaction 484
- Rehabilitation 217
Countries citing papers authored by José M. Azorín
This map shows the geographic impact of José M. Azorín'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 José M. Azorín with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José M. Azorín more than expected).
Fields of papers citing papers by José M. Azorín
This network shows the impact of papers produced by José M. Azorín. 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 José M. Azorín. The network helps show where José M. Azorín may publish in the future.
Co-authorship network of co-authors of José M. Azorín
This figure shows the co-authorship network connecting the top 25 collaborators of José M. Azorín. A scholar is included among the top collaborators of José M. Azorín 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 José M. Azorín. José M. Azorín 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 | 2 | |
| 3 | 4 | |
| 4 | 24 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 10 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | 13 | |
| 11 | 22 | |
| 12 | 14 | |
| 13 | 24 | |
| 14 | 20 | |
| 15 | 166 | |
| 16 | 17 | |
| 17 | 5 | |
| 18 | 5 | |
| 19 | 12 | |
| 20 | Kinematics correspondence & scaling issues in virtual telerobotics systems | 2 |
About José M. Azorín
José M. Azorín is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Cellular and Molecular Neuroscience, having authored 162 papers that have together received 2.0k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (106 papers), Neuroscience and Neural Engineering (66 papers) and Muscle activation and electromyography studies (58 papers). The work is most often cited by research in Human-Computer Interaction (484 citations), Cognitive Neuroscience (1.4k citations) and Cellular and Molecular Neuroscience (680 citations). José M. Azorín has collaborated with scholars based in Spain, Mexico and United States. Frequent co-authors include Eduardo Iáñez, Andrés Úbeda, Enrique Hortal, Mario Ortíz, Eduardo Fernández, Álvaro Costa, José L. Contreras-Vidal, Rafaél Aracil, José María Sabater-Navarro and Carlos Pérez-Vidal. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Automatica.
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.