Luís Salgado

1.8k citations
89 papers · 1.2k indexed · h-index 18

Impact in

Papers in

Luís Salgado

83 papers receiving 1.1k citations

Peers

Luís Salgado
Comparison fields: 5 of 84
  • Computer Vision and Pattern Recognition 993
  • Automotive Engineering 304
  • Media Technology 218
  • Aerospace Engineering 204
  • Human-Computer Interaction 42
Replace Philip F. McLauchlan with:
Philip F. McLauchlan United Kingdom
Gideon Stein Israel
Abdelaziz Bensrhair France
Markus Mathias Germany
Hangen He China
Fabian Timm Germany
T. Graf Germany
Jianhui Zhao China
Tiancai Wang China
Luís Salgado relative to Philip F. McLauchlan United Kingdom Philip F. McLauchlan's profile →
Citations per field
00.5×3.6×
Philip F. McLauchlan · 1×
Citations per year

Countries citing papers authored by Luís Salgado

Since Specialization
Citations

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

Fields of papers citing papers by Luís Salgado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012120
2 201382
3 201373
4 201359
5 200754
6 201250
7 199946
8 201344
9 201241
10 200841
11 201041
12 200738
13 201038
14 200828
15 201125
16 200025
17 201320
18 201219
19 201216
20 201416

About Luís Salgado

Luís Salgado is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Aerospace Engineering, Media Technology and Artificial Intelligence, having authored 89 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (40 papers), Video Surveillance and Tracking Methods (39 papers), Autonomous Vehicle Technology and Safety (21 papers), Advanced Image and Video Retrieval Techniques (10 papers), Image Enhancement Techniques (9 papers), Image Processing Techniques and Applications (8 papers), Video Coding and Compression Technologies (8 papers) and Robotics and Sensor-Based Localization (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (993 citations), Automotive Engineering (304 citations), Media Technology (218 citations), Aerospace Engineering (204 citations) and Human-Computer Interaction (42 citations). Luís Salgado has collaborated with scholars based in Spain, Italy and France. Frequent co-authors include Massimo Camplani, Marcos Nieto, Jon Arróspide, Fernando Jaureguizar, Narciso Garcı́a, José Manuel Menéndez, Carlos R. del‐Blanco, Julián Cabrera, Daniel Alonso and Carlos Cuevas. Their work appears in journals such as Machine Vision and Applications, Journal of Visual Communication and Image Representation, Pattern Recognition Letters, Sensors and IEEE Transactions on Circuits and Systems for Video Technology.

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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