Enrique Hortal

862 total citations
35 papers, 552 citations indexed

About

Enrique Hortal is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Human-Computer Interaction. According to data from OpenAlex, Enrique Hortal has authored 35 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cognitive Neuroscience, 17 papers in Cellular and Molecular Neuroscience and 9 papers in Human-Computer Interaction. Recurrent topics in Enrique Hortal's work include EEG and Brain-Computer Interfaces (22 papers), Neuroscience and Neural Engineering (17 papers) and Gaze Tracking and Assistive Technology (9 papers). Enrique Hortal is often cited by papers focused on EEG and Brain-Computer Interfaces (22 papers), Neuroscience and Neural Engineering (17 papers) and Gaze Tracking and Assistive Technology (9 papers). Enrique Hortal collaborates with scholars based in Spain, Netherlands and Mexico. Enrique Hortal's co-authors include José M. Azorín, Andrés Úbeda, Eduardo Iáñez, Álvaro Costa, Eduardo Fernández, Stylianos Asteriadis, Carlos Pérez-Vidal, José L. Pons, José M. Climent and Esam Ghaleb and has published in prestigious journals such as PLoS ONE, Sensors and Neurocomputing.

In The Last Decade

Enrique Hortal

35 papers receiving 540 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Enrique Hortal Spain 12 392 202 172 108 54 35 552
Mark N. Gasson United Kingdom 13 262 0.7× 230 1.1× 166 1.0× 31 0.3× 48 0.9× 26 570
Elsa Andrea Kirchner Germany 16 525 1.3× 162 0.8× 293 1.7× 124 1.1× 75 1.4× 54 820
Pitshaporn Leelaarporn Germany 10 305 0.8× 79 0.4× 99 0.6× 73 0.7× 16 0.3× 14 534
Florin Popescu Romania 9 583 1.5× 281 1.4× 142 0.8× 93 0.9× 39 0.7× 34 726
Lykourgos Petropoulakis United Kingdom 12 264 0.7× 82 0.4× 302 1.8× 57 0.5× 47 0.9× 59 574
Shao-Wei Lu Taiwan 12 362 0.9× 122 0.6× 146 0.8× 116 1.1× 21 0.4× 30 617
Amar R. Marathe United States 13 295 0.8× 109 0.5× 46 0.3× 46 0.4× 77 1.4× 28 499
Vikram Aggarwal United States 15 556 1.4× 418 2.1× 270 1.6× 60 0.6× 65 1.2× 34 745
Christian Peñaloza Japan 8 182 0.5× 86 0.4× 68 0.4× 82 0.8× 18 0.3× 32 307
Joana Pereira Austria 13 774 2.0× 418 2.1× 294 1.7× 200 1.9× 33 0.6× 23 816

Countries citing papers authored by Enrique Hortal

Since Specialization
Citations

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

Fields of papers citing papers by Enrique Hortal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enrique Hortal

This figure shows the co-authorship network connecting the top 25 collaborators of Enrique Hortal. A scholar is included among the top collaborators of Enrique Hortal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Enrique Hortal. Enrique Hortal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hortal, Enrique, et al.. (2024). Exploring Self-Supervised Multi-view Contrastive Learning for Speech Emotion Recognition with Limited Annotations. Research Publications (Maastricht University). 4708–4712. 1 indexed citations
2.
Pai, Suraj, Ivan Zhovannik, André Dekker, et al.. (2023). Frequency-Domain-Based Structure Losses for CycleGAN-Based Cone-Beam Computed Tomography Translation. Sensors. 23(3). 1089–1089. 2 indexed citations
3.
Bontempi, Dennis, Dirk De Ruysscher, André Dekker, et al.. (2022). DEEP LEARNING SEGMENTATION OF HEART SUBSTRUCTURES IN RADIOTHERAPY TREATMENT PLANNING. Physica Medica. 104. S76–S76. 1 indexed citations
4.
Standen, Penny, David J. Brown, Mohammad Taheri, et al.. (2020). An evaluation of an adaptive learning system based on multimodal affect recognition for learners with intellectual disabilities. British Journal of Educational Technology. 51(5). 1748–1765. 45 indexed citations
5.
Hortal, Enrique, et al.. (2019). Bridging face and sound modalities through Domain Adaptation Metric Learning. Research Publications (Maastricht University). 385–390. 1 indexed citations
6.
Hortal, Enrique, et al.. (2019). Audio–visual domain adaptation using conditional semi-supervised Generative Adversarial Networks. Neurocomputing. 397. 331–344. 24 indexed citations
7.
Hortal, Enrique, et al.. (2019). eLearning: A Dataset for Affect-Driven Adaptation of Computer-Based Learning. IEEE Multimedia. 27(1). 49–60. 2 indexed citations
8.
Vretos, Nicholas, Petros Daras, Stylianos Asteriadis, et al.. (2018). Exploiting sensing devices availability in AR/VR deployments to foster engagement. Virtual Reality. 23(4). 399–410. 8 indexed citations
9.
Costa, Álvaro, Eduardo Iáñez, Andrés Úbeda, et al.. (2016). Decoding the Attentional Demands of Gait through EEG Gamma Band Features. PLoS ONE. 11(4). e0154136–e0154136. 34 indexed citations
10.
Hortal, Enrique, Andrés Úbeda, Eduardo Iáñez, José M. Azorín, & Eduardo Fernández. (2016). EEG-Based Detection of Starting and Stopping During Gait Cycle. International Journal of Neural Systems. 26(7). 1650029–1650029. 32 indexed citations
11.
Úbeda, Andrés, Enrique Hortal, Eduardo Iáñez, Carlos Pérez-Vidal, & José M. Azorín. (2015). Assessing Movement Factors in Upper Limb Kinematics Decoding from EEG Signals. PLoS ONE. 10(5). e0128456–e0128456. 21 indexed citations
12.
Hortal, Enrique, et al.. (2015). Using a brain-machine interface to control a hybrid upper limb exoskeleton during rehabilitation of patients with neurological conditions. Journal of NeuroEngineering and Rehabilitation. 12(1). 92–92. 46 indexed citations
13.
Costa, Álvaro, et al.. (2015). Analyzing EEG signals to detect unexpected obstacles during walking. Journal of NeuroEngineering and Rehabilitation. 12(1). 101–101. 23 indexed citations
14.
Costa, Álvaro, et al.. (2015). Studying Cognitive Attention Mechanisms during Walking from EEG Signals. 882–886. 1 indexed citations
15.
Hortal, Enrique, et al.. (2014). First steps in the development of an EEG-based system to detect intention of gait initiation. 167–171. 5 indexed citations
16.
Hortal, Enrique, Andrés Úbeda, Eduardo Iáñez, & José M. Azorín. (2014). Control of a 2 DoF robot using a Brain–Machine Interface. Computer Methods and Programs in Biomedicine. 116(2). 169–176. 17 indexed citations
17.
Costa, Álvaro, Enrique Hortal, Eduardo Iáñez, & José M. Azorín. (2014). A Supplementary System for a Brain-Machine Interface Based on Jaw Artifacts for the Bidimensional Control of a Robotic Arm. PLoS ONE. 9(11). e112352–e112352. 9 indexed citations
18.
Hortal, Enrique, et al.. (2014). Evaluating Classifiers to Detect Arm Movement Intention from EEG Signals. Sensors. 14(10). 18172–18186. 43 indexed citations
19.
Hortal, Enrique, et al.. (2013). Online classification of two mental tasks using a SVM-based BCI system. 1307–1310. 7 indexed citations
20.
Úbeda, Andrés, et al.. (2013). Passive robot assistance in arm movement decoding from EEG signals. 113. 895–898. 4 indexed citations

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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