Luis Montesano
- Cognitive Neuroscience top 1%
- Computer Vision and Pattern Recognition top 1%
- Biomedical Engineering top 5%
- Artificial Intelligence top 2%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Javier MínguezManuel LopesIñaki IturrateJosé Santos-VictorAlexandre BernardinoLuis MontanoEduardo López‐LarrazAna C. Murillo
- Topics
- EEG and Brain-Computer Interfaces (48 papers)Neuroscience and Neural Engineering (29 papers)Neural dynamics and brain function (21 papers)
- Partner nations
- SpainPortugalSwitzerland
In The Last Decade
Luis Montesano
85 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 114
- Cognitive Neuroscience 1.4k
- Computer Vision and Pattern Recognition 736
- Biomedical Engineering 612
- Artificial Intelligence 608
- Cellular and Molecular Neuroscience 599
Countries citing papers authored by Luis Montesano
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 26 | |
| 3 | One-shot action recognition towards novel assistive therapies. | 4 |
| 4 | 30 | |
| 5 | 29 | |
| 6 | 101 | |
| 7 | 26 | |
| 8 | 20 | |
| 9 | 100 | |
| 10 | 51 | |
| 11 | 84 | |
| 12 | 31 | |
| 13 | 39 | |
| 14 | 13 | |
| 15 | 6 | |
| 16 | 26 | |
| 17 | 364 | |
| 18 | Associating word descriptions to learned manipulation task models | 1 |
| 19 | Toward a Metric-Based Scan Matching Algorithm for Displacement Estimation in 3D Workspaces | 5 |
| 20 | Tinea capitis de importación en un niño guineano. | 1 |
About Luis Montesano
Luis Montesano is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Human-Computer Interaction, having authored 87 papers that have together received 2.9k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (48 papers), Neuroscience and Neural Engineering (29 papers) and Neural dynamics and brain function (21 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Human-Computer Interaction (342 citations) and Computer Vision and Pattern Recognition (736 citations). Luis Montesano has collaborated with scholars based in Spain, Portugal and Switzerland. Frequent 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. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.
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.