Miguel De‐la‐Torre

24 papers and 274 indexed citations i.

About

Miguel De‐la‐Torre is a scholar working on Computer Vision and Pattern Recognition, Analytical Chemistry and Signal Processing. According to data from OpenAlex, Miguel De‐la‐Torre has authored 24 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Analytical Chemistry and 5 papers in Signal Processing. Recurrent topics in Miguel De‐la‐Torre’s work include Face and Expression Recognition (9 papers), Face recognition and analysis (7 papers) and Spectroscopy and Chemometric Analyses (6 papers). Miguel De‐la‐Torre is often cited by papers focused on Face and Expression Recognition (9 papers), Face recognition and analysis (7 papers) and Spectroscopy and Chemometric Analyses (6 papers). Miguel De‐la‐Torre collaborates with scholars based in Mexico, Canada and Peru. Miguel De‐la‐Torre's co-authors include Himer Ávila-George, Wilson Castro, Robert Sabourin, Éric Granger, Dmitry O. Gorodnichy, Jimy Oblitas, Brenda Acevedo-Juárez, Jesse Y. Rumbo‐Morales, Felipe D. J. Sorcia‐Vázquez and José Torres-Jiménez and has published in prestigious journals such as IEEE Access, Pattern Recognition and Computers and Electronics in Agriculture.

In The Last Decade

Co-authorship network of co-authors of Miguel De‐la‐Torre i

Fields of papers citing papers by Miguel De‐la‐Torre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Miguel De‐la‐Torre

Since Specialization
Citations

This map shows the geographic impact of Miguel 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 Miguel 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 Miguel 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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2025