Jairo R. Sánchez

36 total papers · 481 total citations
26 papers, 122 citations indexed

About

Jairo R. Sánchez is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Control and Systems Engineering. According to data from OpenAlex, Jairo R. Sánchez has authored 26 papers receiving a total of 122 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 7 papers in Industrial and Manufacturing Engineering and 5 papers in Control and Systems Engineering. Recurrent topics in Jairo R. Sánchez's work include Augmented Reality Applications (5 papers), Robotics and Sensor-Based Localization (5 papers) and Digital Transformation in Industry (4 papers). Jairo R. Sánchez is often cited by papers focused on Augmented Reality Applications (5 papers), Robotics and Sensor-Based Localization (5 papers) and Digital Transformation in Industry (4 papers). Jairo R. Sánchez collaborates with scholars based in Spain and Colombia. Jairo R. Sánchez's co-authors include Diego Borro, Íñigo Barandiarán, Oscar Ruiz-Salguero, Jorge Posada, Álvaro Segura, Hugo Álvarez, Aitor Moreno, Marcos Alonso, Alberto Izaguirre and Ángel Martín and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Jairo R. Sánchez

23 papers receiving 114 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jairo R. Sánchez 58 40 24 16 14 26 122
Sławomir Tadeja 106 1.8× 28 0.7× 10 0.4× 16 1.0× 16 1.1× 35 191
Xi Zhang 151 2.6× 15 0.4× 17 0.7× 35 2.2× 7 0.5× 25 217
Marc Daniel 54 0.9× 20 0.5× 20 0.8× 121 7.6× 35 2.5× 23 227
Long Chen 79 1.4× 23 0.6× 29 1.2× 4 0.3× 20 1.4× 28 211
Guoxian Song 164 2.8× 19 0.5× 19 0.8× 60 3.8× 41 2.9× 21 248
Bokui Shen 118 2.0× 9 0.2× 11 0.5× 17 1.1× 5 0.4× 12 167
Xiangyu Xu 83 1.4× 16 0.4× 7 0.3× 42 2.6× 4 0.3× 18 140
Bertram Nickolay 62 1.1× 55 1.4× 15 0.6× 10 0.6× 2 0.1× 23 156
Jesús Gimeno 162 2.8× 18 0.5× 11 0.5× 10 0.6× 11 0.8× 36 246
Chenyu Yang 128 2.2× 22 0.6× 10 0.4× 5 0.3× 21 1.5× 17 206

Countries citing papers authored by Jairo R. Sánchez

Since Specialization
Citations

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

Fields of papers citing papers by Jairo R. Sánchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jairo R. Sánchez. 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 Jairo R. Sánchez. The network helps show where Jairo R. Sánchez may publish in the future.

Co-authorship network of co-authors of Jairo R. Sánchez

This figure shows the co-authorship network connecting the top 25 collaborators of Jairo R. Sánchez. A scholar is included among the top collaborators of Jairo R. Sánchez 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 Jairo R. Sánchez. Jairo R. Sánchez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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