Luis Payá

1.1k citations
91 papers · 660 · h-index 14

Impact in

Papers in

Luis Payá

77 papers receiving 645 citations

Peers

Luis Payá
Comparison fields: 5 of 73
  • Computer Vision and Pattern Recognition 412
  • Aerospace Engineering 368
  • Geology 50
  • Media Technology 53
  • Control and Systems Engineering 137
Replace Arturo Gil with:
Arturo Gil Spain
Luis F. Luque-Vega Mexico
Luis E. González-Jiménez Mexico
Wei Jing Singapore
Chris Scrapper United States
André Schneider de Oliveira Brazil
Fengchi Sun China
Dadet Pramadihanto Indonesia
Shao‐Wen Yang Taiwan
Alexander Ferrein Germany
Luis Payá relative to Arturo Gil Spain Arturo Gil's profile →
Citations per field
00.5×1.6×
Arturo Gil · 1×
Citations per year

Countries citing papers authored by Luis Payá

Since Specialization
Citations

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

Fields of papers citing papers by Luis Payá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202094
2 201756
3 201436
4 201427
5 201727
6 201025
7 201724
8 201024
9 201821
10 201618
11 201017
12 201816
13 201816
14 201515
15 201812
16 201912
17 202111
18 201910
19 201510
20 20198

About Luis Payá

Luis Payá is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Media Technology and Mechanical Engineering, having authored 91 papers that have together received 660 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (54 papers), Advanced Image and Video Retrieval Techniques (46 papers), Advanced Vision and Imaging (29 papers), Robotic Path Planning Algorithms (18 papers), Experimental Learning in Engineering (11 papers), Robotic Mechanisms and Dynamics (9 papers), 3D Surveying and Cultural Heritage (6 papers) and Manufacturing Process and Optimization (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (412 citations), Aerospace Engineering (368 citations), Geology (50 citations), Media Technology (53 citations) and Control and Systems Engineering (137 citations). Luis Payá has collaborated with scholars based in Spain, United Kingdom and Germany. Frequent co-authors include Óscar Reinoso, Arturo Gil, Adrián Peidró, José María Marín, Mónica Ballesta, Miguel Juliá, Luís Jiménez, J.M. Sebastián, Javier Ruiz Ramírez and Walterio Mayol‐Cuevas. Their work appears in journals such as Applied Sciences, Sensors, Engineering Applications of Artificial Intelligence, Mechanism and Machine Theory and IEEE Access.

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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