Mónica Rojas-Martínez
- Biomedical Engineering top 10%
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience top 10%
- Orthopedics and Sports Medicine top 10%
- Electrical and Electronic Engineering
- Co-authors
- Miguel Ángel MañanasJoan Francesc AlonsoRoberto MerlettiHamid Reza MaratebMarjan MansourianJ. SanzGuillermo RoblesB. Müller
- Topics
- Muscle activation and electromyography studies (19 papers)EEG and Brain-Computer Interfaces (12 papers)Advanced Sensor and Energy Harvesting Materials (6 papers)
- Journals
- PLoS ONESensorsPsychopharmacology
In The Last Decade
Mónica Rojas-Martínez
28 papers receiving 496 citations
Peers
Comparison fields: 5 of 67
- Biomedical Engineering 382
- Cognitive Neuroscience 250
- Cellular and Molecular Neuroscience 126
- Orthopedics and Sports Medicine 54
- Electrical and Electronic Engineering 44
Countries citing papers authored by Mónica Rojas-Martínez
This map shows the geographic impact of Mónica Rojas-Martínez'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 Mónica Rojas-Martínez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mónica Rojas-Martínez more than expected).
Fields of papers citing papers by Mónica Rojas-Martínez
This network shows the impact of papers produced by Mónica Rojas-Martínez. 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 Mónica Rojas-Martínez. The network helps show where Mónica Rojas-Martínez may publish in the future.
Co-authorship network of co-authors of Mónica Rojas-Martínez
This figure shows the co-authorship network connecting the top 25 collaborators of Mónica Rojas-Martínez. A scholar is included among the top collaborators of Mónica Rojas-Martínez 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 Mónica Rojas-Martínez. Mónica Rojas-Martínez 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 | 3 | |
| 4 | 20 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 26 | |
| 8 | 44 | |
| 9 | 13 | |
| 10 | 19 | |
| 11 | 12 | |
| 12 | 132 | |
| 13 | 59 | |
| 14 | 10 | |
| 15 | 12 | |
| 16 | 42 | |
| 17 | 5 | |
| 18 | 18 | |
| 19 | 18 | |
| 20 | 18 |
About Mónica Rojas-Martínez
Mónica Rojas-Martínez is a scholar working on Cognitive Neuroscience, Orthopedics and Sports Medicine and Biomedical Engineering, having authored 30 papers that have together received 503 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (19 papers), EEG and Brain-Computer Interfaces (12 papers) and Advanced Sensor and Energy Harvesting Materials (6 papers). The work is most often cited by research in Cognitive Neuroscience (250 citations), Biomedical Engineering (382 citations) and Human-Computer Interaction (40 citations). Mónica Rojas-Martínez has collaborated with scholars based in Spain, Italy and Iran. Frequent co-authors include Miguel Ángel Mañanas, Joan Francesc Alonso, Roberto Merletti, Hamid Reza Marateb, Marjan Mansourian, J. Sanz, Guillermo Robles, B. Müller, Fabio Mandrile and Juan M. Lázaro‐Martínez. Their work appears in journals such as PLoS ONE, Sensors and Psychopharmacology.
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.