Miguel Vega

45 papers and 623 indexed citations i.

About

Miguel Vega is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics. According to data from OpenAlex, Miguel Vega has authored 45 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 24 papers in Media Technology and 11 papers in Computational Mechanics. Recurrent topics in Miguel Vega’s work include Image and Signal Denoising Methods (26 papers), Advanced Image Processing Techniques (25 papers) and Advanced Image Fusion Techniques (15 papers). Miguel Vega is often cited by papers focused on Image and Signal Denoising Methods (26 papers), Advanced Image Processing Techniques (25 papers) and Advanced Image Fusion Techniques (15 papers). Miguel Vega collaborates with scholars based in Spain, United States and Mexico. Miguel Vega's co-authors include Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, S. Derin Babacan, H.G. Sarmiento, Valery Naranjo, Xu Zhou, Fugen Zhou, José Aneiros‐Fernández and Esteban Vera and has published in prestigious journals such as IEEE Transactions on Image Processing, Sensors and International Journal of Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Miguel Vega i

Fields of papers citing papers by Miguel Vega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Miguel Vega

Since Specialization
Citations

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