Fernando De la Torre

124 papers and 5.4k indexed citations i.

About

Fernando De la Torre is a scholar working on Computer Vision and Pattern Recognition, Immunology and Allergy and Signal Processing. According to data from OpenAlex, Fernando De la Torre has authored 124 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Computer Vision and Pattern Recognition, 22 papers in Immunology and Allergy and 19 papers in Signal Processing. Recurrent topics in Fernando De la Torre’s work include Face recognition and analysis (40 papers), Face and Expression Recognition (31 papers) and Allergic Rhinitis and Sensitization (21 papers). Fernando De la Torre is often cited by papers focused on Face recognition and analysis (40 papers), Face and Expression Recognition (31 papers) and Allergic Rhinitis and Sensitization (21 papers). Fernando De la Torre collaborates with scholars based in United States, Spain and China. Fernando De la Torre's co-authors include Xuehan Xiong, Feng Zhou, Wen-Sheng Chu, Jeffrey F. Cohn, Minh Hoai Nguyen, Feng Zhou, Minh Hoai, Óscar Déniz, Gloria Bueno and Jesús Salido and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Allergy and Clinical Immunology and Journal of Neurochemistry.

In The Last Decade

Co-authorship network of co-authors of Fernando De la Torre i

Fields of papers citing papers by Fernando De la Torre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando De la Torre. 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 Fernando De la Torre. The network helps show where Fernando De la Torre may publish in the future.

Countries citing papers authored by Fernando De la Torre

Since Specialization
Citations

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

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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