Luis Matey

25 papers receiving 415 citations

Peers

Luis Matey
Comparison fields: 5 of 65
  • Industrial and Manufacturing Engineering 146
  • Human-Computer Interaction 63
  • Automotive Engineering 114
  • Computer Graphics and Computer-Aided Design 22
  • Computer Vision and Pattern Recognition 100
Replace Zoltán Rusák with:
Zoltán Rusák Netherlands
Yuan Yao China
Prakhar Jaiswal United States
Abhishek Seth United States
Cecil Piya United States
Roland Menassa United States
Norman Hendrich Germany
Chengkai Dai Hong Kong
Paul Bosscher United States
Gilberto Osorio-Gómez Colombia
Luis Matey relative to Zoltán Rusák Netherlands Zoltán Rusák's profile →
Citations per field
00.5×2.8×
Zoltán Rusák · 1×
Citations per year

Countries citing papers authored by Luis Matey

Since Specialization
Citations

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

Fields of papers citing papers by Luis Matey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Luis Matey, 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 Matey Line = papers co-authored together Luis Matey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014116
2 200778
3 200471
4 200341
5 200423
6 200717
7 201314
8 200414
9 201911
10 20129
11 20048
12 20087
13 20147
14 20254
15 20084
16 20063
17 20073
18 20083
19
REALIDAD VIRTUAL PARA EL MANTENIMIENTO DE MOTORES DE AVIÓN
20031
20 20071

About Luis Matey

Luis Matey is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Control and Systems Engineering, Mechanical Engineering and Aerospace Engineering, having authored 26 papers that have together received 440 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (9 papers), Robotic Path Planning Algorithms (5 papers), Teleoperation and Haptic Systems (4 papers), Human-Automation Interaction and Safety (3 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers), Advanced Vision and Imaging (3 papers), Robot Manipulation and Learning (3 papers) and Computer Graphics and Visualization Techniques (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (146 citations), Human-Computer Interaction (63 citations), Automotive Engineering (114 citations), Computer Graphics and Computer-Aided Design (22 citations) and Computer Vision and Pattern Recognition (100 citations). Luis Matey has collaborated with scholars based in Spain, Italy and Germany. Frequent co-authors include Diego Borro, Aitor Cazón, Iker Aguinaga, Jorge Juan Gil, Joan Savall, A. García‐Alonso, Gorka Vélez, Ángel Suescun, Ander Izeta and Luis Unzueta. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, Computer Graphics Forum, IEEE Transactions on Learning Technologies, Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture and IEEE Computer Graphics and Applications.

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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