Javier Mínguez

5.1k citations
97 papers · 3.8k · h-index 34

Impact in

Papers in

Javier Mínguez

90 papers receiving 3.6k citations

Peers

Javier Mínguez
Comparison fields: 5 of 116
  • Human-Computer Interaction 671
  • Cognitive Neuroscience 2.0k
  • Computer Vision and Pattern Recognition 1.2k
  • Cellular and Molecular Neuroscience 867
  • Aerospace Engineering 951
Replace Luis Montesano with:
Luis Montesano Spain
Marnix Nuttin Belgium
Zhaojie Ju United Kingdom
Rafael Barea Spain
Teodiano Bastos-Filho Brazil
Yoky Matsuoka United States
Elena López Spain
Abderrahmane Kheddar France
Andrea Cherubini France
Feng Duan China
Javier Mínguez relative to Luis Montesano Spain Luis Montesano's profile →
Citations per field
00.5×1.5×2.2×
Luis Montesano · 1×
Citations per year

Countries citing papers authored by Javier Mínguez

Since Specialization
Citations

This map shows the geographic impact of Javier Mínguez'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 Mínguez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Mínguez more than expected).

Fields of papers citing papers by Javier Mínguez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier Mínguez. 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 Mínguez. The network helps show where Javier Mínguez may publish in the future.

Co-authors

The 25 scholars most cited alongside Javier Mínguez, 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 Mínguez Line = papers co-authored together Javier Mínguez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009446
2 2004366
3 2006131
4 2015120
5 2011115
6 2016114
7 2014109
8 2011106
9 200291
10 200690
11 201387
12 201085
13 200577
14 200975
15 200869
16 200566
17 201562
18 201661
19 201457
20 201056

About Javier Mínguez

Javier Mínguez is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Cellular and Molecular Neuroscience, Aerospace Engineering and Control and Systems Engineering, having authored 97 papers that have together received 3.8k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (54 papers), Neuroscience and Neural Engineering (26 papers), Robotic Path Planning Algorithms (24 papers), Robotics and Sensor-Based Localization (23 papers), Neural dynamics and brain function (18 papers), Neural and Behavioral Psychology Studies (12 papers), Gaze Tracking and Assistive Technology (11 papers) and Muscle activation and electromyography studies (10 papers). The work is most often cited by research in Human-Computer Interaction (671 citations), Cognitive Neuroscience (2.0k citations), Computer Vision and Pattern Recognition (1.2k citations), Cellular and Molecular Neuroscience (867 citations) and Aerospace Engineering (951 citations). Javier Mínguez has collaborated with scholars based in Spain, France and Switzerland. Frequent co-authors include Luis Montano, Luis Montesano, Iñaki Iturrate, Javier M. Antelis, Andrea Kübler, Florent Lamiraux, Carlos Escolano, Eduardo López‐Larraz, Ángel Gil-Agudo and Ricardo Chavarriaga. Their work appears in journals such as Journal of Neural Engineering, IEEE Transactions on Robotics, Autonomous Robots, PLoS ONE and Journal of NeuroEngineering and Rehabilitation.

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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