Jorge Mateo
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Health Informatics top 10%
Papers in
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- EEG and Brain-Computer Interfaces 17
- Functional Brain Connectivity Studies 6
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- ECG Monitoring and Analysis 12
- Co-authors
- Eva María Sánchez‐Morla (6 shared papers)Alejandro L. Borja (9 shared papers)Alex Torres (4 shared papers)J.J. Rieta (5 shared papers)José Luis Santos (6 shared papers)José Luis Santos (4 shared papers)José Santos (2 shared papers)Alexandra Bagney (1 shared paper)
In The Last Decade
Jorge Mateo
58 papers receiving 607 citations
Peers
Comparison fields: 5 of 112
- Cognitive Neuroscience 195
- Health Informatics 13
- Psychiatry and Mental health 104
- Cardiology and Cardiovascular Medicine 153
- Internal Medicine 24
Countries citing papers authored by Jorge Mateo
This map shows the geographic impact of Jorge Mateo'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 Jorge Mateo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge Mateo more than expected).
Fields of papers citing papers by Jorge Mateo
This network shows the impact of papers produced by Jorge Mateo. 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 Jorge Mateo. The network helps show where Jorge Mateo may publish in the future.
Co-authors
The 25 scholars most cited alongside Jorge Mateo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 68 | |
| 2 | 2021 | 35 | |
| 3 | 2021 | 34 | |
| 4 | 2015 | 31 | |
| 5 | 2016 | 28 | |
| 6 | 2016 | 28 | |
| 7 | 2021 | 21 | |
| 8 | 2022 | 21 | |
| 9 | 2015 | 21 | |
| 10 | 2022 | 18 | |
| 11 | 2016 | 17 | |
| 12 | 2012 | 16 | |
| 13 | 2012 | 13 | |
| 14 | 2019 | 12 | |
| 15 | 2023 | 12 | |
| 16 | 2008 | 12 | |
| 17 | 2013 | 11 | |
| 18 | 2023 | 10 | |
| 19 | 2012 | 10 | |
| 20 | 2008 | 10 |
About Jorge Mateo
Jorge Mateo is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine, Signal Processing, Epidemiology and Hepatology, having authored 60 papers that have together received 611 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (17 papers), ECG Monitoring and Analysis (12 papers), Blind Source Separation Techniques (12 papers), Liver Disease Diagnosis and Treatment (8 papers), COVID-19 diagnosis using AI (7 papers), COVID-19 Clinical Research Studies (7 papers), Bipolar Disorder and Treatment (6 papers) and Functional Brain Connectivity Studies (6 papers). The work is most often cited by research in Cognitive Neuroscience (195 citations), Health Informatics (13 citations), Psychiatry and Mental health (104 citations), Cardiology and Cardiovascular Medicine (153 citations) and Internal Medicine (24 citations). Jorge Mateo has collaborated with scholars based in Spain, Germany and Russia. Frequent co-authors include Eva María Sánchez‐Morla, Alejandro L. Borja, Alex Torres, J.J. Rieta, José Luis Santos, José Luis Santos, José Santos, Alexandra Bagney, Miguel Ángel Jiménez‐Arriero and Roberto Rodríguez–Jiménez. Their work appears in journals such as Journal of Clinical Medicine, Computers in Biology and Medicine, Computers & Electrical Engineering, Journal of Investigative Medicine and Electronics.
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.