Rafael Román-Caballero
- Cognitive Neuroscience top 5%
- Social Psychology top 10%
- Music top 2%
- Experimental and Cognitive Psychology
- Psychiatry and Mental health
- Co-authors
- Juan LupiáñezAndrea MarottaMiguel A. VadilloElisa Martín‐ArévaloMónica TriviñoDarías HolgadoLaurel J. TrainorDaniel Sanabria
- Topics
- Neuroscience and Music Perception (7 papers)Neural and Behavioral Psychology Studies (7 papers)Face Recognition and Perception (5 papers)
- Partner nations
- SpainSwitzerlandItaly
In The Last Decade
Rafael Román-Caballero
17 papers receiving 433 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Cognitive Neuroscience 314
- Social Psychology 116
- Music 64
- Experimental and Cognitive Psychology 57
- Psychiatry and Mental health 53
Countries citing papers authored by Rafael Román-Caballero
This map shows the geographic impact of Rafael Román-Caballero'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 Rafael Román-Caballero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Román-Caballero more than expected).
Fields of papers citing papers by Rafael Román-Caballero
This network shows the impact of papers produced by Rafael Román-Caballero. 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 Rafael Román-Caballero. The network helps show where Rafael Román-Caballero may publish in the future.
Co-authorship network of co-authors of Rafael Román-Caballero
This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Román-Caballero. A scholar is included among the top collaborators of Rafael Román-Caballero 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 Rafael Román-Caballero. Rafael Román-Caballero 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 | 2 | |
| 3 | 3 | |
| 4 | An umbrella review of randomized control trials on the effects of physical exercise on cognitionbreakdown → | 83 |
| 5 | 9 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 51 | |
| 9 | 22 | |
| 10 | 7 | |
| 11 | 15 | |
| 12 | 19 | |
| 13 | 12 | |
| 14 | 26 | |
| 15 | 41 | |
| 16 | 28 | |
| 17 | 41 | |
| 18 | 69 |
About Rafael Román-Caballero
Rafael Román-Caballero is a scholar working on Music, Cognitive Neuroscience and Applied Psychology, having authored 18 papers that have together received 437 indexed citations. Recurring topics across this work include Neuroscience and Music Perception (7 papers), Neural and Behavioral Psychology Studies (7 papers) and Face Recognition and Perception (5 papers). The work is most often cited by research in Music (64 citations), Cognitive Neuroscience (314 citations) and Neuropsychology and Physiological Psychology (11 citations). Rafael Román-Caballero has collaborated with scholars based in Spain, Switzerland and Italy. Frequent co-authors include Juan Lupiáñez, Andrea Marotta, Miguel A. Vadillo, Elisa Martín‐Arévalo, Mónica Triviño, Darías Holgado, Laurel J. Trainor, Daniel Sanabria, Pandelis Perakakis and Luís F. Ciria. Their work appears in journals such as PLoS ONE, Neuroscience & Biobehavioral Reviews and Neuropsychologia.
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.