Luis Patino

1.2k citations
31 papers · 946 · h-index 12

Impact in

    • EEG and Brain-Computer Interfaces
    • Motor Control and Adaptation
    • Neural dynamics and brain function
  • Neurology top 5%
    • Transcranial Magnetic Stimulation Studies

Papers in

Luis Patino

31 papers receiving 918 citations

Peers

Luis Patino
Comparison fields: 5 of 73
  • Cognitive Neuroscience 513
  • Neurology 122
  • Cellular and Molecular Neuroscience 201
  • Computer Vision and Pattern Recognition 181
  • Biomedical Engineering 364
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Bernd Porr United Kingdom
Muhammad Awais Bin Altaf Pakistan
Neel T. Dhruv United States
Iyad Obeid United States
Zhizeng Luo China
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H. Aizawa Japan
Baikun Wan China
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Citations per field
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Citations per year

Countries citing papers authored by Luis Patino

Since Specialization
Citations

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

Fields of papers citing papers by Luis Patino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007247
2 2006199
3 200791
4 200754
5 201653
6 201143
7 200837
8 200437
9 201732
10 201418
11 201512
12 201412
13 201711
14 200811
15 200610
16 20229
17 20139
18 20109
19 20169
20 20208

About Luis Patino

Luis Patino is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 946 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (16 papers), Video Surveillance and Tracking Methods (14 papers), Human Pose and Action Recognition (11 papers), Muscle activation and electromyography studies (6 papers), Neuroscience and Neural Engineering (6 papers), EEG and Brain-Computer Interfaces (6 papers), Maritime Navigation and Safety (3 papers) and Video Analysis and Summarization (3 papers). The work is most often cited by research in Cognitive Neuroscience (513 citations), Neurology (122 citations), Cellular and Molecular Neuroscience (201 citations), Computer Vision and Pattern Recognition (181 citations) and Biomedical Engineering (364 citations). Luis Patino has collaborated with scholars based in United Kingdom, Germany and France. Frequent co-authors include Rumyana Kristeva, Wolfgang Omlor, Marie‐Claude Hepp‐Reymond, James Ferryman, Matthias Witte, A. Vallée, Jürgen Schulte‐Mönting, Ignacio Méndez‐Balbuena, José Raúl Naranjo and Vihren Chakarov. Their work appears in journals such as NeuroImage, Pattern Recognition Letters, Journal of Neuroscience, Journal of Neurophysiology and Image and Vision 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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