Luis Montesano

4.5k total citations
87 papers, 2.9k citations indexed

About

Luis Montesano is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Luis Montesano has authored 87 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Cognitive Neuroscience, 29 papers in Cellular and Molecular Neuroscience and 21 papers in Artificial Intelligence. Recurrent topics in Luis Montesano's work include EEG and Brain-Computer Interfaces (48 papers), Neuroscience and Neural Engineering (29 papers) and Neural dynamics and brain function (21 papers). Luis Montesano is often cited by papers focused on EEG and Brain-Computer Interfaces (48 papers), Neuroscience and Neural Engineering (29 papers) and Neural dynamics and brain function (21 papers). Luis Montesano collaborates with scholars based in Spain, Portugal and Switzerland. Luis Montesano's co-authors include Javier Mínguez, Manuel Lopes, Iñaki Iturrate, José Santos-Victor, Alexandre Bernardino, Luis Montano, Eduardo López‐Larraz, Ana C. Murillo, Ãngel Gil-Agudo and Ricardo Chavarriaga and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Luis Montesano

85 papers receiving 2.8k citations

Peers

Luis Montesano

CVPR

CMN

Teodiano Bastos-Filho Brazil

Javier Mínguez Spain

Yoky Matsuoka United States

Marnix Nuttin Belgium

Tony Pipe United Kingdom

Rafael Barea Spain

Zhaojie Ju United Kingdom

Andrew H. Fagg United States

Timothy Bretl United States

Jörg Conradt Germany

Teodiano Bastos-Filho Brazil

Luis Montesano

1.5k ×1.1

668 ×0.9

CVPR

861 ×1.4

172 ×0.3

599 ×1.0

CMN

Citations per year, relative to Luis Montesano Luis Montesano (= 1×) peers Teodiano Bastos-Filho

Countries citing papers authored by Luis Montesano

Since Specialization

Citations

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

Fields of papers citing papers by Luis Montesano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luis Montesano

This figure shows the co-authorship network connecting the top 25 collaborators of Luis Montesano. A scholar is included among the top collaborators of Luis Montesano 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 Luis Montesano. Luis Montesano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Montesano, Luis, et al.. (2023). Event Transformer$^+$. A Multi-Purpose Solution for Efficient Event Data Processing. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 16013–16020. 4 indexed citations

Santos-Victor, José, et al.. (2021). One-shot action recognition in challenging therapy scenarios. Zaguan (University of Zaragoza Repository). 26 indexed citations

Santos-Victor, José, et al.. (2021). One-shot action recognition towards novel assistive therapies.. arXiv (Cornell University). 4 indexed citations

Schwarz, Andreas, Carlos Escolano, Luis Montesano, & Gernot Müller-Putz. (2020). Analyzing and Decoding Natural Reach-and-Grasp Actions Using Gel, Water and Dry EEG Systems. Frontiers in Neuroscience. 14. 849–849. 30 indexed citations

Schwarz, Andreas, et al.. (2018). Factors that affect error potentials during a grasping task: toward a hybrid natural movement decoding BCI. Journal of Neural Engineering. 15(4). 46023–46023. 29 indexed citations

López‐Larraz, Eduardo, Fernando Trincado-Alonso, Vijaykumar Rajasekaran, et al.. (2016). Control of an Ambulatory Exoskeleton with a Brain–Machine Interface for Spinal Cord Injury Gait Rehabilitation. Frontiers in Neuroscience. 10. 359–359. 101 indexed citations

Iturrate, Iñaki, et al.. (2015). Analysis and asynchronous detection of gradually unfolding errors during monitoring tasks. Journal of Neural Engineering. 12(5). 56001–56001. 26 indexed citations

Iturrate, Iñaki, et al.. (2015). Exploiting Task Constraints for Self-Calibrated Brain-Machine Interface Control Using Error-Related Potentials. PLoS ONE. 10(7). e0131491–e0131491. 20 indexed citations

López‐Larraz, Eduardo, Luis Montesano, Ãngel Gil-Agudo, & Javier Mínguez. (2014). Continuous decoding of movement intention of upper limb self-initiated analytic movements from pre-movement EEG correlates. Journal of NeuroEngineering and Rehabilitation. 11(1). 153–153. 100 indexed citations

10.

Iturrate, Iñaki, Luis Montesano, & Javier Mínguez. (2013). Task-dependent signal variations in EEG error-related potentials for brain–computer interfaces. Journal of Neural Engineering. 10(2). 26024–26024. 51 indexed citations

11.

Antelis, Javier M., Luis Montesano, Ander Ramos‐Murguialday, Niels Birbaumer, & Javier Mínguez. (2013). On the Usage of Linear Regression Models to Reconstruct Limb Kinematics from Low Frequency EEG Signals. PLoS ONE. 8(4). e61976–e61976. 84 indexed citations

12.

Iturrate, Iñaki, et al.. (2013). Using frequency-domain features for the generalization of EEG error-related potentials among different tasks. PubMed. 2013. 5263–5266. 31 indexed citations

13.

Iturrate, Iñaki, Ricardo Chavarriaga, Luis Montesano, Javier Mínguez, & José del R. Millán. (2012). Latency correction of error potentials between different experiments reduces calibration time for single-trial classification. PubMed. 2012. 3288–3291. 39 indexed citations

14.

López‐Larraz, Eduardo, et al.. (2011). EEG single-trial classification of visual, auditive and vibratory feedback potentials in Brain-Computer Interfaces. PubMed. 2011. 4231–4234. 13 indexed citations

15.

López‐Larraz, Eduardo, et al.. (2011). Single-trial classification of feedback potentials within neurofeedback training with an EEG brain-computer interface. PubMed. 2011. 4596–9. 6 indexed citations

16.

Salvi, Giampiero, Luis Montesano, Alexandre Bernardino, & José Santos-Victor. (2011). Language Bootstrapping: Learning Word Meanings From Perception–Action Association. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 42(3). 660–671. 26 indexed citations

17.

Metta, Giorgio, Lorenzo Natale, Francesco Nori, et al.. (2010). The iCub humanoid robot: An open-systems platform for research in cognitive development. Neural Networks. 23(8-9). 1125–1134. 364 indexed citations

18.

Salvi, Giampiero, et al.. (2008). Associating word descriptions to learned manipulation task models. 1 indexed citations

19.

Mínguez, Javier, et al.. (2006). Toward a Metric-Based Scan Matching Algorithm for Displacement Estimation in 3D Workspaces. International Conference on Robotics and Automation. 5 indexed citations

20.

Arribi, A, et al.. (1998). Tinea capitis de importación en un niño guineano.. Actas Dermo-Sifiliográficas. 89(3). 125–127. 1 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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