Alejandro Riera
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Human-Computer Interaction top 10%
- Gaze Tracking and Assistive Technology
Papers in
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- EEG and Brain-Computer Interfaces 6
- Neural dynamics and brain function 2
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- Neuroscience and Neural Engineering 3
- Co-authors
- Cai Grau (4 shared papers)Giulio Ruffini (5 shared papers)Aureli Soria‐Frisch (3 shared papers)M. Caparrini (1 shared paper)Thanh Lâm Nguyễn (2 shared papers)Álvaro Pascual‐Leone (2 shared papers)Julià L. Amengual (2 shared papers)Stephen Dunne (2 shared papers)
- Journals
- Brain stimulation (1 paper)PLoS ONE (1 paper)Frontiers in Human Neuroscience (1 paper)EURASIP Journal on Advances in Signal Processing (1 paper)Studies in health technology and informatics (2 papers)
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Alejandro Riera
7 papers receiving 259 citations
Peers
Comparison fields: 5 of 59
- Cognitive Neuroscience 212
- Human-Computer Interaction 36
- Cellular and Molecular Neuroscience 73
- Signal Processing 33
- Experimental and Cognitive Psychology 30
Countries citing papers authored by Alejandro Riera
This map shows the geographic impact of Alejandro Riera'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 Alejandro Riera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alejandro Riera more than expected).
Fields of papers citing papers by Alejandro Riera
This network shows the impact of papers produced by Alejandro Riera. 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 Alejandro Riera. The network helps show where Alejandro Riera may publish in the future.
Co-authors
The 22 scholars most cited alongside Alejandro Riera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 121 | |
| 2 | 2014 | 100 | |
| 3 | 2012 | 17 | |
| 4 | 2014 | 14 | |
| 5 | 2015 | 12 | |
| 6 | 2010 | 7 | |
| 7 | 2015 | 1 |
About Alejandro Riera
Alejandro Riera is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Information Systems and Experimental and Cognitive Psychology, having authored 7 papers that have together received 272 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (6 papers), Neuroscience and Neural Engineering (3 papers), Heart Rate Variability and Autonomic Control (2 papers), Emotion and Mood Recognition (2 papers), User Authentication and Security Systems (2 papers), Neural dynamics and brain function (2 papers), Advanced Chemical Sensor Technologies (1 paper) and Mental Health Research Topics (1 paper). The work is most often cited by research in Cognitive Neuroscience (212 citations), Human-Computer Interaction (36 citations), Cellular and Molecular Neuroscience (73 citations), Signal Processing (33 citations) and Experimental and Cognitive Psychology (30 citations). Alejandro Riera has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Cai Grau, Giulio Ruffini, Aureli Soria‐Frisch, M. Caparrini, Thanh Lâm Nguyễn, Álvaro Pascual‐Leone, Julià L. Amengual, Stephen Dunne, Pietro Cipresso and Anton Albajes‐Eizagirre. Their work appears in journals such as Brain stimulation, PLoS ONE, Frontiers in Human Neuroscience, EURASIP Journal on Advances in Signal Processing and Studies in health technology and informatics.
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.