Javier Andreu-Pérez
- Health Informatics top 0.5%
- Health Information Management top 0.5%
- Artificial Intelligence top 1%
- Fuzzy Logic and Control Systems 13
- Neural Networks and Applications 9
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces 28
- Functional Brain Connectivity Studies 9
- Neural dynamics and brain function 7
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- Neuroscience and Neural Engineering 12
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- Advanced Memory and Neural Computing 10
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- Context-Aware Activity Recognition Systems 5
- Co-authors
- Guang‐Zhong YangDaniele RavìMelissa BerthelotBenny LoCharence WongFani DeligianniCarmen C. Y. PoonRobert Merrifield
- Journals
- Neurocomputing (5 papers)IEEE Transactions on Fuzzy Systems (3 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)
- Partner nations
- United KingdomSpainPeru
In The Last Decade
Javier Andreu-Pérez
71 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Health Informatics 153
- Health Information Management 323
- Artificial Intelligence 885
- Cognitive Neuroscience 510
- Radiology, Nuclear Medicine and Imaging 482
Countries citing papers authored by Javier Andreu-Pérez
This map shows the geographic impact of Javier Andreu-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 Javier Andreu-Pérez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Andreu-Pérez more than expected).
Fields of papers citing papers by Javier Andreu-Pérez
This network shows the impact of papers produced by Javier Andreu-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 Javier Andreu-Pérez. The network helps show where Javier Andreu-Pérez may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Javier Andreu-Pérez, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 4 | |
| 9 | 2021 | 15 | |
| 10 | 2021 | 26 | |
| 11 | 2021 | 18 | |
| 12 | 2020 | 28 | |
| 13 | 2020 | 22 | |
| 14 | 2020 | 2 | |
| 15 | 2018 | 2 | |
| 16 | 2017 | 16 | |
| 17 | 2016 | 37 | |
| 18 | Big Data for Healthbreakdown → | 2015 | 446 |
| 19 | Intelligent leader follower behaviour for unmanned ground-based vehicles | 2011 | 2 |
| 20 | Simpl_eClass : simple potential-free evolving fuzzy rule-based on-line classifiers | 2011 | 2 |
About Javier Andreu-Pérez
Javier Andreu-Pérez is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Space and Planetary Science, having authored 77 papers that have together received 2.9k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (28 papers), Fuzzy Logic and Control Systems (13 papers), Neuroscience and Neural Engineering (12 papers), Advanced Memory and Neural Computing (10 papers), Neural Networks and Applications (9 papers), Functional Brain Connectivity Studies (9 papers), Neural dynamics and brain function (7 papers) and Context-Aware Activity Recognition Systems (5 papers). The work is most often cited by research in Health Informatics (153 citations), Health Information Management (323 citations) and Artificial Intelligence (885 citations). Javier Andreu-Pérez has collaborated with scholars based in United Kingdom, Spain and Peru. Frequent co-authors include Guang‐Zhong Yang, Daniele Ravì, Melissa Berthelot, Benny Lo, Charence Wong, Fani Deligianni, Carmen C. Y. Poon, Robert Merrifield, Stephen T.C. Wong and Daniel Leff. Their work appears in journals such as Neurocomputing, IEEE Transactions on Fuzzy Systems, IEEE Journal of Biomedical and Health Informatics, Journal of Ambient Intelligence and Humanized Computing and Sensors.
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.