Dante Mújica‐Vargas

45 papers and 529 indexed citations i.

About

Dante Mújica‐Vargas is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Dante Mújica‐Vargas has authored 45 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 10 papers in Media Technology and 8 papers in Artificial Intelligence. Recurrent topics in Dante Mújica‐Vargas’s work include Image Retrieval and Classification Techniques (8 papers), Remote-Sensing Image Classification (6 papers) and Image and Signal Denoising Methods (6 papers). Dante Mújica‐Vargas is often cited by papers focused on Image Retrieval and Classification Techniques (8 papers), Remote-Sensing Image Classification (6 papers) and Image and Signal Denoising Methods (6 papers). Dante Mújica‐Vargas collaborates with scholars based in Mexico, Japan and Czechia. Dante Mújica‐Vargas's co-authors include José de Jesús Rubio, Francisco J. Gallegos‐Funes, Jaime Pacheco, Alberto Rosales, G. Gutiérrez, Jesús Alberto Meda-Campaña, Genaro Ochoa, Ricardo Balcázar, Alejandro Zacarías and Enrique García and has published in prestigious journals such as PLoS ONE, Energy and Sensors.

In The Last Decade

Co-authorship network of co-authors of Dante Mújica‐Vargas i

Fields of papers citing papers by Dante Mújica‐Vargas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dante Mújica‐Vargas. 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 Dante Mújica‐Vargas. The network helps show where Dante Mújica‐Vargas may publish in the future.

Countries citing papers authored by Dante Mújica‐Vargas

Since Specialization
Citations

This map shows the geographic impact of Dante Mújica‐Vargas'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 Dante Mújica‐Vargas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dante Mújica‐Vargas 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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