Javier Sánchez

102 total papers · 1.1k total citations
39 papers, 608 citations indexed

About

Javier Sánchez is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology. According to data from OpenAlex, Javier Sánchez has authored 39 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 6 papers in Computer Graphics and Computer-Aided Design and 5 papers in Media Technology. Recurrent topics in Javier Sánchez's work include Advanced Vision and Imaging (24 papers), Advanced Image Processing Techniques (17 papers) and Computer Graphics and Visualization Techniques (6 papers). Javier Sánchez is often cited by papers focused on Advanced Vision and Imaging (24 papers), Advanced Image Processing Techniques (17 papers) and Computer Graphics and Visualization Techniques (6 papers). Javier Sánchez collaborates with scholars based in Spain, France and Peru. Javier Sánchez's co-authors include Luis Álvarez, Joachim Weickert, Agustín Salgado, Théodore Papadopoulo, Rachid Deriche, Karl Krissian, Miguel Ángel García, Luis Mazorra, Jean‐Michel Morel and Á. Perea and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and International Journal of Computer Vision.

In The Last Decade

Javier Sánchez

37 papers receiving 567 citations

Author Peers

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

Author Last Decade Papers Cites
Javier Sánchez 466 101 76 39 35 39 608
Wei Lian 316 0.7× 85 0.8× 118 1.6× 25 0.6× 56 1.6× 42 510
Yonggang Shi 376 0.8× 72 0.7× 44 0.6× 42 1.1× 11 0.3× 30 512
Huimin Yu 419 0.9× 50 0.5× 52 0.7× 23 0.6× 22 0.6× 59 575
Yuxuan Zhang 294 0.6× 84 0.8× 84 1.1× 18 0.5× 21 0.6× 36 522
José Gabriel R. C. Gomes 400 0.9× 86 0.9× 70 0.9× 88 2.3× 112 3.2× 77 628
Qicong Wang 292 0.6× 164 1.6× 58 0.8× 65 1.7× 43 1.2× 69 680
Yakun Ju 405 0.9× 89 0.9× 92 1.2× 104 2.7× 18 0.5× 43 543
Zhen Chen 334 0.7× 59 0.6× 59 0.8× 34 0.9× 54 1.5× 48 518
Lei Yang 257 0.6× 68 0.7× 49 0.6× 35 0.9× 167 4.8× 32 641
Yan Xia 320 0.7× 36 0.4× 123 1.6× 100 2.6× 29 0.8× 52 647

Countries citing papers authored by Javier Sánchez

Since Specialization
Citations

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

Fields of papers citing papers by Javier Sánchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Sánchez

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Sánchez. A scholar is included among the top collaborators of Javier 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 Javier Sánchez. Javier 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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