Mario Quiles Pérez
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Cognitive Neuroscience
- Information Systems
- Co-authors
- Enrique Tomás Martínez BeltránAlberto Huertas CeldránSergio López BernalGregorio Martínez PérezGérôme BovetManuel Gil PérezPedro Miguel Sánchez SánchezJavier Pastor-Galindo
- Topics
- EEG and Brain-Computer Interfaces (9 papers)Neuroscience and Neural Engineering (5 papers)Gaze Tracking and Assistive Technology (3 papers)
- Partner nations
- SpainSwitzerlandNetherlands
In The Last Decade
Mario Quiles Pérez
14 papers receiving 296 citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 178
- Computer Networks and Communications 67
- Electrical and Electronic Engineering 62
- Cognitive Neuroscience 49
- Information Systems 35
Countries citing papers authored by Mario Quiles Pérez
This map shows the geographic impact of Mario Quiles 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 Mario Quiles Pérez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Quiles Pérez more than expected).
Fields of papers citing papers by Mario Quiles Pérez
This network shows the impact of papers produced by Mario Quiles 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 Mario Quiles Pérez. The network helps show where Mario Quiles Pérez may publish in the future.
Co-authorship network of co-authors of Mario Quiles Pérez
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Quiles Pérez. A scholar is included among the top collaborators of Mario Quiles 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 Mario Quiles Pérez. Mario Quiles 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 | 2 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challengesbreakdown → | 232 |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 21 | |
| 11 | 9 | |
| 12 | 8 | |
| 13 | 9 | |
| 14 | 2 |
About Mario Quiles Pérez
Mario Quiles Pérez is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 306 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (9 papers), Neuroscience and Neural Engineering (5 papers) and Gaze Tracking and Assistive Technology (3 papers). The work is most often cited by research in Artificial Intelligence (178 citations), Health Informatics (7 citations) and Computer Networks and Communications (67 citations). Mario Quiles Pérez has collaborated with scholars based in Spain, Switzerland and Netherlands. Frequent co-authors include Enrique Tomás Martínez Beltrán, Alberto Huertas Celdrán, Sergio López Bernal, Gregorio Martínez Pérez, Gérôme Bovet, Manuel Gil Pérez, Pedro Miguel Sánchez Sánchez, Javier Pastor-Galindo, Pantaleone Nespoli and Félix J. García Clemente. Their work appears in journals such as IEEE Communications Surveys & Tutorials, Expert Systems with Applications and Neurocomputing.
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.