Javier Andreu-Pérez

4.6k citations
84 papers · 3.3k · 3 hit papers · h-index 19

Impact in

Papers in

    • Fuzzy Logic and Control Systems 13
    • Neural Networks and Applications 10
    • EEG and Brain-Computer Interfaces 29
    • Functional Brain Connectivity Studies 10
    • Neural dynamics and brain function 7

Javier Andreu-Pérez

76 papers receiving 3.2k citations

Javier Andreu-Pérez's Hit Papers

Deep Learning for Health Informatics 2016 · 1.4k citations
1.4k0+3+7Years since publication4008001.2k

Peers

Javier Andreu-Pérez
Comparison fields: 5 of 191
  • Health Informatics 177
  • Health Information Management 365
  • Cognitive Neuroscience 532
  • Artificial Intelligence 977
  • Radiology, Nuclear Medicine and Imaging 518
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Citations per year

Countries citing papers authored by Javier Andreu-Pérez

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Javier Andreu-Pérez Line = papers co-authored together Javier Andreu-Pérez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Learning for Health Informatics
Hit paper breakdown →
20161434
2
Big Data for Health
Hit paper breakdown →
2015507
3
From Wearable Sensors to Smart Implants-–Toward Pervasive and Personalized Healthcare
Hit paper breakdown →
2015297
4 2013136
5 201690
6 202280
7 202176
8 201637
9 202034
10 202031
11 202129
12 201726
13 201425
14 202024
15 201124
16 202122
17 201020
18 202020
19 201920
20 201718

About Javier Andreu-Pérez

Javier Andreu-Pérez is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 84 papers that have together received 3.3k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (29 papers), Neuroscience and Neural Engineering (13 papers), Fuzzy Logic and Control Systems (13 papers), Advanced Memory and Neural Computing (11 papers), Neural Networks and Applications (10 papers), Functional Brain Connectivity Studies (10 papers), Neural dynamics and brain function (7 papers) and Context-Aware Activity Recognition Systems (6 papers). The work is most often cited by research in Health Informatics (177 citations), Health Information Management (365 citations), Cognitive Neuroscience (532 citations), Artificial Intelligence (977 citations) and Radiology, Nuclear Medicine and Imaging (518 citations). Javier Andreu-Pérez has collaborated with scholars based in United Kingdom, Spain and Peru. Frequent co-authors include Guang‐Zhong Yang, Benny Lo, Melissa Berthelot, Daniele Ravì, Charence Wong, Fani Deligianni, Robert Merrifield, Stephen T.C. Wong, Carmen C. Y. Poon and Daniel Leff. Their work appears in journals such as Neurocomputing, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Artificial Intelligence, Sensors and Journal of Ambient Intelligence and Humanized Computing.

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.

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